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Pipeline run

43fade32-4bf7-4c6a-9ad2-7d8ddaeb3f37

Pipeline LLM cost (USD)
API 1: $0.0157 API 2: $0.0016 API 3: $0.0000 Total: $0.0173

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Cloud/DevOps
Build and run AWS cloud infrastructure with Terraform/CloudFormation, automate CI/CD and deployments, and keep production systems secure, highly available, and observable across Linux, Docker, and Kubernetes/EKS. Also write scripts/config management to provision, deploy, and troubleshoot quickly.
"Responsible for fault-tolerance, high-availability, scalability, and security on AWS Infrastructure and Platform,"
Tech stack maturity
Modern Cloud Native
The skill set centers on AWS, EKS, Kubernetes, Terraform, Docker, and CI/CD, which strongly indicates a cloud-native DevOps stack.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3):
Evidence — skills matched in JD (64)
AWS CI/CD Docker Kubernetes EKS Terraform CloudFormation Linux Shell Python Git Infrastructure as Code ECS PowerShell Ansible Chef Puppet GitHub GitLab Bitbucket AWS CodeBuild AWS CodeDeploy Jenkins GitLab CI GitLab Runner +39
Skill cluster (13 dimension groups, role-scoped)
CI/CD Pipeline Platforms
CI/CD GitHub GitLab Jenkins GitLab CI
Cloud Networking and Connectivity
VPC Subnets Transit Gateway
Cloud Platforms
AWS S3 RDS
Configuration Management
Ansible Chef Puppet
Container Orchestration Platforms
Kubernetes ECS
Infrastructure as Code
Terraform CloudFormation
Caching and State Management
Redis
Containerization and Image Builds
Docker
Deployment Automation and Rollouts
Blue-Green Deployment
Programming Languages and Scripting
PowerShell
Python Programming
Python
Search and Content Discovery
Elasticsearch
Cross-cutting / unaligned
EKS Linux Shell Git Infrastructure as Code Bitbucket AWS CodeBuild AWS CodeDeploy GitLab Runner SonarQube JIRA Confluence Logstash Kibana EC2 AMI Lambda Auto Scaling Elastic Load Balancing Spot Instances EFS EBS Glacier Storage Gateway IAM AWS Config CloudTrail WAF KMS VPN VPC Endpoint CloudWatch CloudWatch Alarms CloudWatch Logs VPC Flow Logs DynamoDB Microservices Configuration Management Canary Deployment In-place Deployment
Show KRA description ↓
• Responsible for fault-tolerance, high-availability, scalability, and security on AWS Infrastructure and Platform, • Responsible for implementation of CI/CD pipelines with automated build and test systems. • Responsible for Production Deployment using Multiple Deployment Strategies. • Responsible for Automating the AWS Infrastructure and Platform Deployment with Infrastructure as a Code. • Responsible for Automating System Configurations using Configuration Management Tools. • Good Understanding & implementation of Microservices Concepts and Best Practices • Enabling application development by coordinating requirements, schedules, and activities. • Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement • Carrying out POCs to make sure that suggested design/technologies meet the requirements • Able to learn the services used in the environment quickly. • Minimum 8 years of Experience, with 5 years of Relevant experience in Cloud and DevOps. • Hands on Production Experience in Linux or Window System Engineering • Hands on Production Experience with AWS Compute Service: EC2, AMI, Lambda, Autoscaling, Load Balancers, Spot Instances • Hands on Production Experience with AWS Storage Service: S3, EFS, EBS, Glacier, Storage Gateway • Hands on Production Experience with AWS Security Service: IAM, AWS Config, Cloud Trail, WAF, KMS • Hands on Production Experience with AWS Network Service: VPC, Subnets, Router, Transit Gateway, VPN, VPC Endpoint • Hands on Production Experience with AWS observability Service: CloudWatch Alarms, CloudWatch Logs, Cloud Trail, VPC Flow Logs, ECS/EKS Enhance Monitoring • Good Automation Skills using AWS Orchestration Tools like - Terraform, Cloud Formation • Hands on Production experience in Docker and Container Orchestration using Kubernetes on AWS EKS or AWS ECS • Hands on Production Experience with AWS Database Service: AWS RDS, Cache, Read Replicas, Dynamo DB • Ability to write scripts (Linux/shell/Python/Windows PowerShell) to automate Cloud Automation Tasks or Configuration Management tasks or Ability to use Configuration Management tools like Ansible/Chef/Puppet • Experience in Source Code Management: Gitlab/ GitHub/ Bitbucket/Code Commit. • Experience in Build Automation Server: AWS Code build/ AWS Code deploy/ Jenkins/ Gitlab CI/ Gitlab runner/ Sonar. • Collaboration: JIRA/ Confluence • Experience in In place Deployment, Blue Green Deployment and Canary Deployment. • Experience with Elasticsearch, Logstash & Kibana stacks. • AWS Cloud & its services - Compute, Network, IAM/Security, Observability, Databases services • Linux Administration • Scripting Language -Python / Shell scripting / Powershell • Infrastructure as Code - Terraform / Cloudformation • Kubernetes / EKS

Signals

Skill devops-engineer
0.50
Alias devops-engineer
1.00
KRA devops-engineer
0.70

Post-classification

Centroidupdated · n=110
Alias collision log
New-role queue
New skills captured31
New KRA captured

Captured for admin review

Linux primary DevOps Engineer pending
Shell primary DevOps Engineer pending
Bitbucket DevOps Engineer pending
AWS CodeBuild DevOps Engineer pending
AWS CodeDeploy DevOps Engineer pending
GitLab Runner DevOps Engineer pending
SonarQube DevOps Engineer pending
JIRA DevOps Engineer pending
Confluence DevOps Engineer pending
Logstash DevOps Engineer pending
Kibana DevOps Engineer pending
EC2 DevOps Engineer pending
AMI DevOps Engineer pending
Lambda DevOps Engineer pending
Auto Scaling DevOps Engineer pending
Elastic Load Balancing DevOps Engineer pending
Spot Instances DevOps Engineer pending
EFS DevOps Engineer pending
EBS DevOps Engineer pending
Glacier DevOps Engineer pending
Storage Gateway DevOps Engineer pending
AWS Config DevOps Engineer pending
KMS DevOps Engineer pending
VPC Endpoint DevOps Engineer pending
CloudWatch DevOps Engineer pending
CloudWatch Alarms DevOps Engineer pending
CloudWatch Logs DevOps Engineer pending
DynamoDB DevOps Engineer pending
Infrastructure as Code primary DevOps Engineer pending
Configuration Management DevOps Engineer pending
In-place Deployment DevOps Engineer pending
Status: completed Created: 2026-05-27T17:39:54.704854Z Updated: 2026-05-27T17:43:28.793073Z API 3 duration: 25500 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

DevOps Engineer

CI/CD Engineer

sub-role · 0.91 domain · DevOps & Platform CASE DOMAIN

slug: devops-engineer · id: 10 · source: db · sub-role slug: ci-cd-engineer

Domain=DevOps & Platform → sub-role ci-cd-engineer; The JD centers on AWS cloud infrastructure automation, CI/CD, deployment strategies, containers, and DevOps tooling, which best matches a DevOps Engineer.

Matched skills

AWSCI/CD pipelinesautomated build and test systemsInfrastructure as CodeConfiguration Management ToolsMicroservicesLinuxWindowsEC2LambdaTerraformCloudFormationDockerKubernetesAWS EKS

Matched dimensions

Cloud Infrastructure AutomationCI/CD and Release AutomationAWS Platform EngineeringContainer OrchestrationConfiguration ManagementDeployment Strategy ManagementSystem Reliability and ScalabilityDevOps Collaboration

Matched KRAs

Responsible for fault-tolerance, high-availability, scalability, and securityimplementation of CI/CD pipelines with automated build and test systemsProduction Deployment using Multiple Deployment StrategiesAutomating the AWS Infrastructure and Platform DeploymentAutomating System Configurations using Configuration Management ToolsGood Understanding & implementation of Microservices Concepts and Best PracticesEnabling application development by coordinating requirements, schedules, and activitiesCarrying out POCs to make sure design/technologies meet requirements

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

0
New skills
0
Skill↔dim saved
0
Role↔dim saved
7
Skipped

Job description

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider – leading the industry in digital and physical product development and digital platform engineering services. Through its innovative strategy; integrated advisory, consulting and design capabilities; and unique ‘Engineering DNA,EPAM’s globally deployed hybrid teams help make the future real for clients and communities around the world by powering better enterprise, education and health platforms that connect people, optimize experiences, and improve people’s lives. Selected by Newsweek as a 2021 Most Loved Workplace.

EPAM’s global multi-disciplinary teams serve 57,450+ employees and customers in more than 50 countries across six continents.

As a recognized leader, EPAM is listed among the top 15 companies in Information Technology Services on the Fortune 1000 and ranked as the top IT services company on Fortune’s 100 Fastest-Growing Companies list for the last three consecutive years.

EPAM is also listed among Ad Age’s top 25 World’s Largest Agency Companies and in 2020, Consulting Magazine named EPAM Continuum a top 20 Fastest-Growing organization.

Responsibilities

• Responsible for fault-tolerance, high-availability, scalability, and security on AWS Infrastructure and Platform, 
• Responsible for implementation of CI/CD pipelines with automated build and test systems.
• Responsible for Production Deployment using Multiple Deployment Strategies.
• Responsible for Automating the AWS Infrastructure and Platform Deployment with Infrastructure as a Code.
• Responsible for Automating System Configurations using Configuration Management Tools.
• Good Understanding & implementation of Microservices Concepts and Best Practices
• Enabling application development by coordinating requirements, schedules, and activities.
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Carrying out POCs to make sure that suggested design/technologies meet the requirements
• Able to learn the services used in the environment quickly.


Requirements

• Minimum 8 years of Experience, with 5 years of Relevant experience in Cloud and DevOps.
• Hands on Production Experience in Linux or Window System Engineering
• Hands on Production Experience with AWS Compute Service: EC2, AMI, Lambda, Autoscaling, Load Balancers, Spot Instances
• Hands on Production Experience with AWS Storage Service: S3, EFS, EBS, Glacier, Storage Gateway
• Hands on Production Experience with AWS Security Service: IAM, AWS Config, Cloud Trail, WAF, KMS
• Hands on Production Experience with AWS Network Service: VPC, Subnets, Router, Transit Gateway, VPN, VPC Endpoint
• Hands on Production Experience with AWS observability Service: CloudWatch Alarms, CloudWatch Logs, Cloud Trail, VPC Flow Logs, ECS/EKS Enhance Monitoring
• Good Automation Skills using AWS Orchestration Tools like - Terraform, Cloud Formation


Nice to have

• Hands on Production experience in Docker and Container Orchestration using Kubernetes on AWS EKS or AWS ECS
• Hands on Production Experience with AWS Database Service: AWS RDS, Cache, Read Replicas, Dynamo DB
• Ability to write scripts (Linux/shell/Python/Windows PowerShell) to automate Cloud Automation Tasks or Configuration Management tasks or Ability to use Configuration Management tools like Ansible/Chef/Puppet
• Experience in Source Code Management: Gitlab/ GitHub/ Bitbucket/Code Commit. 
• Experience in Build Automation Server: AWS Code build/ AWS Code deploy/ Jenkins/ Gitlab CI/ Gitlab runner/ Sonar. 
• Collaboration: JIRA/ Confluence
• Experience in In place Deployment, Blue Green Deployment and Canary Deployment.
• Experience with Elasticsearch, Logstash & Kibana stacks.


Technologies

• AWS Cloud & its services - Compute, Network, IAM/Security, Observability, Databases services
• Linux Administration
• Scripting Language -Python / Shell scripting / Powershell
• Infrastructure as Code - Terraform / Cloudformation 
• Kubernetes / EKS


We offer

• Insurance Coverage 
• Paid Leaves – including maternity, bereavement, paternity, and special COVID-19 leaves. 
• Financial assistance for medical crisis 
• Retiral Benefits – VPF and NPS 
• Customized Mindfulness and Wellness programs 
• EPAM Hobby Clubs
• Hybrid Work Model 
• Soft loans to set up workspace at home 
• Stable workload 
• Relocation opportunities with ‘EPAM without Borders’ program
• Certification trainings for technical and soft skills 
• Access to unlimited LinkedIn Learning platform 
• Access to internal learning programs set up by world class trainers 
• Community networking and idea creation platforms 
• Mentorship programs 
• Self-driven career progression tool

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

AWS Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: AWS id=187 · aws

Aliases — catalog

  • AWS (CANONICAL) primary

Context tags (catalog)

API Gateway AWS CLI Auto Scaling CloudFormation CloudFront CloudTrail CloudWatch Cognito DynamoDB EC2 ECS EKS Elastic Beanstalk Elastic Load Balancing IAM KMS Lambda RDS Route 53 S3 SNS SQS Serverless VPC

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Cloud Platform
Vendor
Amazon
License
other_open
Year introduced
2006
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: AWS is a hiring-pipeline staple: it appears in a large share of cloud/DevOps job descriptions and dominates public cloud market share, with broad certification and vendor ecosystem support.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
46
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer

  • Cloud Platforms for AI Deployment Catalog dimension db id 211

    Library dimension (catalog)

    Roles linked in library: AI Engineer

  • Cloud Provider Platforms Catalog dimension db id 131

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, Cloud Security Engineer

  • Cloud Security Posture Tools Catalog dimension db id 64

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer, Cyber Security Engineer

  • Vendor Product Families Catalog dimension db id 477

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension saved
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: CI/CD id=1190 · ci-cd

Aliases — catalog

  • CI/CD (CANONICAL)

Context tags (catalog)

Ansible CircleCI Docker GitLab CI Jenkins Kubernetes Terraform Travis CI automated testing build automation continuous deployment continuous integration deployment pipelines monitoring version control

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Ci Cd Process
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: CI/CD appears in a large share of software engineering JDs and is a standard requirement across DevOps, platform, and backend roles; major vendors like GitHub, GitLab, and AWS all center product roadmaps on CI/CD pipelines.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
900
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • CI/CD for Machine Learning Catalog dimension db id 56

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension saved
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Docker Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Docker id=61 · docker

Aliases — catalog

  • Docker (CANONICAL) primary

Context tags (catalog)

CI/CD Compose DevOps Docker Compose Docker Swarm Dockerfile Kubernetes build pipeline container container lifecycle container orchestration container registry container security containerization containers image image registry images immutable infrastructure lightweight virtualization microservices networking orchestration port mapping registry scalability service discovery swarm volume volume management

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Containerization Tool
Vendor
Docker, Inc.
License
apache_2
Year introduced
2013
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Docker is a hiring-pipeline staple: it appears in many DevOps, backend, and platform JDs, and remains a standard containerization tool alongside Kubernetes in production stacks.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
63
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Containerization and Image Builds Catalog dimension db id 152

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Deployment and Cloud Platforms Catalog dimension db id 418

    Library dimension (catalog)

    Roles linked in library: Ruby Backend Developer

  • Deployment and Runtime Configuration Catalog dimension db id 13

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Go Backend Developer, PHP Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Containerization and Image Builds
containerization-and-image-builds
Existing dimension (library) · Role↔dimension saved
Deployment and Cloud Platforms
deployment-and-cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Deployment and Runtime Configuration
deployment-and-runtime-configuration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Kubernetes Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Kubernetes id=726 · kubernetes

Aliases — catalog

  • Kubernetes (CANONICAL) primary
  • Kubernetes 1.0+ (VERSION)
  • Kubernetes 1.x (VERSION)
  • Kubernetes v1 (VERSION)
  • k8s (VERSION)
  • kubernetes 1.x (VERSION)
  • kubernetes latest (VERSION)

Context tags (catalog)

CI/CD Cluster Autoscaler ConfigMap DaemonSet Deployment Docker Grafana Helm Ingress Istio K8s Kubelet Namespace Pod Prometheus RBAC Secret Service StatefulSet containerization deployment etcd kubectl load balancing microservices namespace orchestration persistent storage scalability service mesh

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Container Orchestration Platform
Vendor
Cloud Native Computing Foundation
License
apache_2
Year introduced
2014
Confidence
0.90
Version strategy
SEPARATE_ENTITY
Version tag
1.30

Maturity reasoning: Broadly adopted in cloud-native stacks; Kubernetes appears in a large share of DevOps/SRE job descriptions and is the default orchestration platform across major cloud vendors.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
557
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Container Orchestration Platforms Catalog dimension db id 134

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

  • Kubernetes for ML Workloads Catalog dimension db id 47

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Container Orchestration Platforms
container-orchestration-platforms
Existing dimension (library) · Role↔dimension saved
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
EKS Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: EKS id=1622 · eks

Aliases — catalog

  • EKS (CANONICAL)

Context tags (catalog)

AWS CI/CD CloudFormation ECR Fargate Helm Kubernetes container orchestration kubectl load balancing microservices monitoring network policies scalability service mesh

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Kubernetes Platform
Vendor
Amazon
License
unknown
Year introduced
2018
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: Amazon EKS appears in many cloud/Kubernetes job postings and is a standard managed Kubernetes option on AWS, with strong vendor docs and ecosystem adoption.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
927
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Kubernetes for ML Workloads Catalog dimension db id 47

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
ECS Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: ECS id=854 · ecs

Aliases — catalog

  • ECS (CANONICAL) primary

Context tags (catalog)

AWS CLI CloudFormation Docker ECR Fargate IAM roles Kubernetes container instances load balancing logging microservices monitoring networking scalability service discovery task definitions

Stored enrichment (catalog DB)

Category
Service
Sub-category
Container Orchestration Service
Vendor
Amazon Web Services
License
unknown
Year introduced
2014
Confidence
0.96
Version strategy
NOT_APPLICABLE

Maturity reasoning: AWS ECS appears frequently in cloud/container job descriptions and is a mainstream managed orchestration option alongside EKS; strong vendor support and broad production use signal mature adoption.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
564
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Container Orchestration Platforms Catalog dimension db id 134

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Container Orchestration Platforms
container-orchestration-platforms
Existing dimension (library) · Role↔dimension saved
Terraform Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Terraform id=286 · terraform

Aliases — catalog

  • Terraform (CANONICAL) primary

Context tags (catalog)

AWS Azure GCP HCL IaC Terraform Cloud Terraform Enterprise Terraform Registry Terragrunt apply backend destroy infrastructure automation modules outputs plan providers provisioning remote backends remote state resource blocks resource management state file state management terraform apply terraform plan variables version control workspaces

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Infrastructure As Code Tool
Vendor
HashiCorp
License
mpl
Year introduced
2014
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: Terraform is broadly listed in DevOps/SRE/cloud JDs and remains a standard IaC tool across AWS/Azure/GCP; HashiCorp’s ecosystem and widespread GitHub usage signal strong market adoption.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
191
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Infrastructure & Security Automation Frameworks Catalog dimension db id 249

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

  • Infrastructure as Code Catalog dimension db id 132

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

  • Infrastructure as Code for ML Catalog dimension db id 57

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Infrastructure & Security Automation Frameworks
infrastructure-security-automation-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension saved
Infrastructure as Code for ML
infrastructure-as-code-for-ml
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CloudFormation Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: CloudFormation id=837 · cloudformation

Aliases — catalog

  • CloudFormation (CANONICAL) primary

Context tags (catalog)

AWS AWS CLI CloudFormation Designer JSON YAML change set deployment drift detection infrastructure as code nested stacks outputs parameters resource stack template

Stored enrichment (catalog DB)

Category
Service
Sub-category
Infrastructure As Code Service
Vendor
Amazon Web Services
License
proprietary
Year introduced
2013
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: AWS CloudFormation appears in many cloud/IaC job descriptions and remains a standard AWS-native infrastructure-as-code option, alongside Terraform in hiring pipelines.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
181
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Infrastructure as Code Catalog dimension db id 132

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension saved
Linux Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Shell Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Python Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Python id=5 · python

Aliases — catalog

  • Python (CANONICAL) primary
  • Python 2 (VERSION)
  • Python 2.x (VERSION)
  • Python 3 (VERSION)
  • Python 3.10 (VERSION)
  • Python 3.11 (VERSION)
  • Python 3.12 (VERSION)
  • Python 3.x (VERSION)
  • py (VERSION)
  • py2 (VERSION)
  • py3 (VERSION)
  • python 3 (VERSION)
  • python 3.x (VERSION)
  • python2 (VERSION)
  • python3 (VERSION)
  • python3.x (VERSION)

Context tags (catalog)

API Django FastAPI Flask Jupyter NumPy PEP 8 Pandas REST SQLAlchemy asyncio pandas pip pytest type hints venv virtualenv

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
PSF
License
mit
Year introduced
1991
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
3

Maturity reasoning: Python appears in a very high volume of job descriptions across data, backend, automation, and ML roles, and remains a default hiring-pipeline language on major job boards and tech stacks.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
96
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Security Scripting & DSL Languages Catalog dimension db id 248

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer

  • Programming Languages & DSLs Catalog dimension db id 475

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

  • Programming Languages and Scripting Catalog dimension db id 59

    Library dimension (catalog)

    Roles linked in library: Cyber Security Engineer

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

  • Programming Languages for ML Systems Catalog dimension db id 39

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

  • Programming Languages for XR Catalog dimension db id 97

    Library dimension (catalog)

    Roles linked in library: AR/VR Engineer

  • Python Programming Catalog dimension db id 290

    Library dimension (catalog)

    Roles linked in library: Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
PowerShell Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: PowerShell id=297 · powershell

Aliases — catalog

  • PowerShell (CANONICAL) primary
  • PowerShell 5 (VERSION)
  • PowerShell 5.1 (VERSION)
  • PowerShell 6 (VERSION)
  • PowerShell 7 (VERSION)
  • PowerShell 7.x (VERSION)
  • PowerShell Core (VERSION)
  • Windows PowerShell (VERSION)
  • powershell 7 (VERSION)
  • powershell 7.x (VERSION)
  • powershell core (VERSION)
  • ps 7 (VERSION)
  • pwsh (VERSION)

Context tags (catalog)

Active Directory Azure Automation Azure DevOps CIM Cmdlet DSC Desired State Configuration Exchange Online IIS JSON parsing Microsoft 365 PSScriptAnalyzer Pipeline PowerShell Core Remoting Scheduled Task WMI WinRM Windows Management Framework Windows Server cmdlets error handling modules remoting scripting task automation

Stored enrichment (catalog DB)

Category
Language
Sub-category
Scripting Language
Vendor
Microsoft
License
mit
Year introduced
2006
Confidence
0.98
Version strategy
SEPARATE_ENTITY
Version tag
7

Maturity reasoning: Common in Windows/admin and DevOps job descriptions; Microsoft continues active development and it remains a standard automation language alongside Bash in enterprise tooling.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
38
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Programming Languages and Scripting Catalog dimension db id 59

    Library dimension (catalog)

    Roles linked in library: Cyber Security Engineer

  • Programming Languages for ML Systems Catalog dimension db id 39

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Ansible Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Ansible id=721 · ansible

Aliases — catalog

  • Ansible (CANONICAL) primary

Context tags (catalog)

AWX Ansible Tower CI/CD Jinja2 SSH YAML ad-hoc commands agentless ansible-galaxy ansible-vault automation collections configuration drift deployment facts handlers idempotency idempotent inventory modules orchestration playbook playbooks roles task templates

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Configuration Management Tool
Vendor
Red Hat
License
apache_2
Year introduced
2012
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Commonly listed in DevOps/SRE job descriptions for config management and automation; strong GitHub usage and Red Hat/AWX ecosystem signal broad adoption.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
576
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Configuration Management Catalog dimension db id 133

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Configuration Management
configuration-management
Existing dimension (library) · Role↔dimension saved
Chef Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Chef id=722 · chef

Aliases — catalog

  • Chef (CANONICAL) primary

Context tags (catalog)

Berkshelf Chef Automate Chef Client Chef Infra Chef Server InSpec Ohai Test Kitchen attribute attributes cookbook cookbooks data bag data bags environment environments idempotence knife node policyfile recipe recipes resource role roles template

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Configuration Management Tool
Vendor
Chef Software, Inc.
License
apache_2
Year introduced
2009
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Chef still appears in some DevOps JDs, but far less than Terraform/Ansible; GitHub activity and job listings show a long-term decline as teams standardize on newer IaC tools.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
576
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Configuration Management Catalog dimension db id 133

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Configuration Management
configuration-management
Existing dimension (library) · Role↔dimension saved
Puppet Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Puppet id=723 · puppet

Aliases — catalog

  • Puppet (CANONICAL) primary

Context tags (catalog)

Bolt Facter Forge Hiera Puppet Enterprise Puppet Forge PuppetDB agent agent/master catalog class classes configuration drift environment facts idempotency idempotent manifest manifests master mcollective module modules r10k resource resource declarations

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Configuration Management Tool
Vendor
Puppet, Inc.
License
apache_2
Year introduced
2005
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Puppet still appears in some DevOps/infra JDs, but far less than Terraform/Ansible; GitHub activity and community momentum are comparatively modest, indicating specialized legacy use rather than broad adoption.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
576
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Configuration Management Catalog dimension db id 133

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Configuration Management
configuration-management
Existing dimension (library) · Role↔dimension saved
Git Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Git id=1002 · git

Aliases — catalog

  • Git (CANONICAL)

Context tags (catalog)

CI/CD GitHub GitLab branching checkout clone commit fork merging pull request rebase remote repository stash versioning

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Version Control Tool
Vendor
Linus Torvalds
License
gpl_v2
Year introduced
2005
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Git is a hiring-pipeline staple: it appears in the vast majority of software engineering job descriptions and is the default VCS on GitHub/GitLab/Bitbucket.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
730
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitHub Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: GitHub id=280 · github

Aliases — catalog

  • GitHub (CANONICAL) primary

Context tags (catalog)

CI/CD Git GitHub Actions GitHub Enterprise GitHub Pages SSH keys actions branch protection branches code review collaboration commit history fork forking issue tracker issues markdown merge conflicts merge request pull request pull requests release tags repositories repository version control webhooks

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Devops Platform
Vendor
GitHub, Inc.
License
other_open
Year introduced
2008
Confidence
0.96
Version strategy
NOT_APPLICABLE

Maturity reasoning: GitHub appears in a very high volume of engineering JDs for source control, code review, and CI/CD; it’s a standard hiring-pipeline skill across teams.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
170
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • CI/CD for Machine Learning Catalog dimension db id 56

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension saved
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitLab Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: GitLab id=279 · gitlab

Aliases — catalog

  • GitLab (CANONICAL) primary

Context tags (catalog)

.gitlab-ci.yml CI/CD DevOps DevSecOps GitLab CI GitLab Pages GitLab Runner Kubernetes YAML artifact registry automated testing code review container registry issue boards issues merge requests monitoring pipelines repository management runners security scanning self-hosted version control webhooks

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Devops Platform
Vendor
GitLab Inc.
License
mit
Year introduced
2011
Confidence
0.96
Version strategy
NOT_APPLICABLE

Maturity reasoning: GitLab appears in many DevOps/CI-CD job descriptions and is widely used as an integrated source control and pipeline platform; its GitLab CI/CD and self-managed/SaaS offerings are common hiring signals.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
170
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • CI/CD for Machine Learning Catalog dimension db id 56

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension saved
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Bitbucket Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
AWS CodeBuild Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
AWS CodeDeploy Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Jenkins Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Jenkins id=283 · jenkins

Aliases — catalog

  • Jenkins (CANONICAL) primary

Context tags (catalog)

Blue Ocean CI/CD Declarative Pipeline Docker Groovy Jenkinsfile Kubernetes agents artifact repository artifacts automation build triggers integration multibranch pipeline pipeline plugins shared libraries stages test automation version control webhooks

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Ci Cd Tool
Vendor
CloudBees
License
mit
Year introduced
2011
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Jenkins remains a common CI/CD requirement in job postings and enterprise DevOps stacks, with broad plugin ecosystem and long-running GitHub activity despite newer alternatives.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
184
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • CI/CD for Machine Learning Catalog dimension db id 56

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension saved
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitLab CI Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: GitLab CI id=282 · gitlab-ci

Aliases — catalog

  • GitLab CI (CANONICAL) primary

Context tags (catalog)

.gitlab-ci.yml CI/CD DevOps Docker GitLab Runner Kubernetes YAML artifacts automation build triggers cache deploy deployment environments include integration jobs merge requests monitoring pipelines rules runners stages testing variables version control

Stored enrichment (catalog DB)

Category
Service
Sub-category
Ci Cd Service
Vendor
GitLab Inc.
License
mit
Year introduced
2011
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: Commonly listed in DevOps/CI-CD job descriptions and widely used in GitLab-hosted pipelines; strong market presence alongside Jenkins/GitHub Actions rather than a niche tool.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
178
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • CI/CD for Machine Learning Catalog dimension db id 56

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension saved
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitLab Runner Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: GitLab CI id=282 · gitlab-ci

Aliases — catalog

  • GitLab CI (CANONICAL) primary

Context tags (catalog)

.gitlab-ci.yml CI/CD DevOps Docker GitLab Runner Kubernetes YAML artifacts automation build triggers cache deploy deployment environments include integration jobs merge requests monitoring pipelines rules runners stages testing variables version control

Stored enrichment (catalog DB)

Category
Service
Sub-category
Ci Cd Service
Vendor
GitLab Inc.
License
mit
Year introduced
2011
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: Commonly listed in DevOps/CI-CD job descriptions and widely used in GitLab-hosted pipelines; strong market presence alongside Jenkins/GitHub Actions rather than a niche tool.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
178
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • CI/CD for Machine Learning Catalog dimension db id 56

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
CI/CD for Machine Learning
ci-cd-for-machine-learning
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
SonarQube Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
JIRA Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Confluence Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Elasticsearch Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Elasticsearch id=3171 · elasticsearch

Aliases — catalog

  • Elasticsearch (CANONICAL) primary
  • ES (VERSION)
  • ElasticSearch (VERSION)
  • Elasticsearch 6 (VERSION)
  • Elasticsearch 6.x (VERSION)
  • Elasticsearch 7 (VERSION)
  • Elasticsearch 7.x (VERSION)
  • Elasticsearch 8 (VERSION)
  • Elasticsearch 8.x (VERSION)
  • Elasticsearch v6 (VERSION)
  • Elasticsearch v7 (VERSION)
  • Elasticsearch v8 (VERSION)

Context tags (catalog)

ELK stack JSON Kibana Logstash Lucene REST API RESTful API aggregation cluster management data visualization document store full-text search indexing performance tuning query DSL real-time search replication scalability search analytics search relevance sharding

Stored enrichment (catalog DB)

Category
Datastore
Sub-category
Search Datastore
Vendor
Elastic NV
License
apache_2
Year introduced
2010
Confidence
0.93
Version strategy
SEPARATE_ENTITY
Version tag
8.x

Maturity reasoning: Commonly listed in job descriptions for search/log analytics roles and widely deployed in production; Elastic’s docs and ecosystem show sustained adoption rather than sunset or replacement.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
3
Sub-category id
2925
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Magento Search and Indexing Catalog dimension db id 403

    Library dimension (catalog)

    Roles linked in library: Magento Dev

  • Search and Content Discovery Catalog dimension db id 356

    Library dimension (catalog)

    Roles linked in library: Drupal Dev, Sitecore Dev

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Magento Search and Indexing
magento-search-and-indexing
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Search and Content Discovery
search-and-content-discovery
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Logstash Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Kibana Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
EC2 Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
AMI Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Lambda Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Auto Scaling Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: autoscaling id=858 · autoscaling

Aliases — catalog

  • autoscaling (CANONICAL) primary

Context tags (catalog)

AWS Auto Scaling Kubernetes capacity planning cloud infrastructure container orchestration cost efficiency dynamic scaling elasticity horizontal scaling load balancing performance tuning resource optimization scaling policies serverless architecture vertical scaling

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Scaling Concept
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: Autoscaling is a standard cloud/Kubernetes capability and appears routinely in AWS, GCP, Azure, and Kubernetes job descriptions, with vendor docs and managed services built around it.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
604
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Container Orchestration Platforms Catalog dimension db id 134

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Container Orchestration Platforms
container-orchestration-platforms
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Elastic Load Balancing Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: load balancing id=1219 · load-balancing

Aliases — catalog

  • load balancing (CANONICAL) primary
  • Load Balancing (CANONICAL)

Context tags (catalog)

DNS load balancing F5 HAProxy Nginx application delivery auto-scaling backend servers cloud load balancing content delivery network distributed systems failover health checks high availability horizontal scaling latency optimization reverse proxy round robin scalability session persistence sticky sessions traffic distribution traffic management

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Load Balancing
Confidence
0.84
Version strategy
NOT_APPLICABLE

Maturity reasoning: Load balancing is a standard infra concept in cloud and SRE job descriptions, with common managed offerings from AWS, GCP, and Azure; it’s broadly expected rather than niche.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
3578
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Capacity and Staffing Planning Catalog dimension db id 464

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

  • Deployment and Release Patterns Catalog dimension db id 140

    Library dimension (catalog)

    Roles linked in library: Cloud Architect

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Capacity and Staffing Planning
capacity-and-staffing-planning
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Deployment and Release Patterns
deployment-and-release-patterns
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Spot Instances Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
S3 Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: S3 id=1212 · s3

Aliases — catalog

  • S3 (CANONICAL)

Context tags (catalog)

AWS AWS CLI CORS CloudFormation IAM policies S3 Select bucket data lifecycle encryption event notifications multipart upload object storage static website hosting transfer acceleration versioning

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Cloud Storage Platform
Vendor
Amazon
License
proprietary
Year introduced
2006
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Amazon S3 is a default cloud storage service in AWS job descriptions and architecture docs; it remains broadly adopted with no vendor sunset, and is commonly paired with S3-compatible storage rather than replaced.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
919
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

  • Systems Programming Catalog dimension db id 166

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension saved
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Systems Programming
d_init_02
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
EFS Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
EBS Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Glacier Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Storage Gateway Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
IAM Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: IAM id=1217 · iam

Aliases — catalog

  • IAM (CANONICAL)

Context tags (catalog)

ABAC IAM governance MFA OAuth OpenID Connect RBAC SAML SSO access control audit logs directory services identity federation policy management security tokens user provisioning

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Identity And Access Management Platform
Vendor
Amazon Web Services
License
proprietary
Year introduced
2011
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: IAM is a standard cloud/security platform skill; it appears routinely in AWS/Azure/GCP job descriptions and is a core control in vendor docs and compliance frameworks, indicating broad hiring demand.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
923
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS Config Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
CloudTrail Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: CloudTrail id=1837 · cloudtrail

Aliases — catalog

  • CloudTrail (CANONICAL) primary

Context tags (catalog)

API calls AWS AWS CLI CloudFormation CloudTrail Insights CloudWatch IAM S3 audit trails compliance data governance event logging multi-account resource tracking security monitoring

Stored enrichment (catalog DB)

Category
Service
Sub-category
Aws Cloudtrail
Vendor
Amazon Web Services
License
proprietary
Year introduced
2014
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: AWS CloudTrail is a standard audit/logging service in AWS JDs and security/compliance roles; it appears routinely alongside IAM, CloudWatch, and GuardDuty in cloud job postings.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
1375
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Logging and Audit Trails Catalog dimension db id 245

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Logging and Audit Trails
cloud-logging-and-audit-trails
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
WAF Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: WAF id=376 · waf

Aliases — catalog

  • WAF (CANONICAL) primary

Context tags (catalog)

API protection CDN DDoS DDoS protection HTTP/S inspection IP whitelisting L7 firewall OWASP OWASP Top 10 SQL injection SSL termination XSS anomaly detection application layer bot mitigation custom rules false positives malware protection managed rules mod_security rate limiting reverse proxy rule sets rule tuning security policies threat intelligence traffic filtering virtual patching

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Web Application Firewall Concept
Vendor
AWS
License
proprietary
Year introduced
2011
Confidence
0.86
Version strategy
NOT_APPLICABLE

Maturity reasoning: WAF is a standard security control in cloud and enterprise JDs; AWS WAF, Cloudflare WAF, and Azure WAF are commonly listed alongside app security roles.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1339
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Network Security Controls Catalog dimension db id 242

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

  • Web Application Vulnerability Concepts Catalog dimension db id 69

    Library dimension (catalog)

    Roles linked in library: Cyber Security Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Network Security Controls
cloud-network-security-controls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Web Application Vulnerability Concepts
web-application-vulnerability-concepts
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
KMS Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
VPC Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: VPC id=865 · vpc

Aliases — catalog

  • VPC (CANONICAL) primary

Context tags (catalog)

AWS Azure CIDR NAT gateway VPC endpoints VPN firewall load balancer network ACLs peering private IP public IP route tables security groups subnetting

Stored enrichment (catalog DB)

Category
Architecture
Sub-category
Network Isolation Architecture
Confidence
0.88
Version strategy
NOT_APPLICABLE

Maturity reasoning: VPC is a standard cloud networking term and appears routinely in AWS/Azure/GCP job descriptions for network isolation, routing, and security design.

Skill profile (library / DB)

Skill nature
PATTERN
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
1
Sub-category id
587
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Networking and Connectivity Catalog dimension db id 153

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Networking and Connectivity
cloud-networking-and-connectivity
Existing dimension (library) · Role↔dimension saved
Subnets Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: subnets id=866 · subnets

Aliases — catalog

  • subnets (CANONICAL) primary

Context tags (catalog)

CIDR DHCP IP addressing IPv4 IPv6 NAT VLAN broadcast domain firewall network topology private network public network routing segmentation subnet mask

Stored enrichment (catalog DB)

Category
Architecture
Sub-category
Network Segmentation Architecture
Confidence
0.86
Version strategy
NOT_APPLICABLE

Maturity reasoning: Subnets are a core networking concept and appear routinely in cloud/networking JDs (e.g., AWS VPC, Azure VNet, GCP VPC) as a baseline requirement for segmentation and routing.

Skill profile (library / DB)

Skill nature
PATTERN
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
1
Sub-category id
588
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Networking and Connectivity Catalog dimension db id 153

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Networking and Connectivity
cloud-networking-and-connectivity
Existing dimension (library) · Role↔dimension saved
Transit Gateway Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Transit Gateway id=739 · transit-gateway

Aliases — catalog

  • Transit Gateway (CANONICAL) primary

Context tags (catalog)

AWS AWS Direct Connect BGP CIDR VPC VPC attachment VPN VPN attachment association cloud connectivity data transfer high availability hub-and-spoke hybrid cloud inter-region peering latency optimization multi-region multicast network segmentation networking on-premises connectivity peering peering attachment propagation route table route tables security groups service integration shared services traffic management

Stored enrichment (catalog DB)

Category
Service
Sub-category
Network Gateway Service
Vendor
Amazon Web Services
License
proprietary
Year introduced
2019
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: AWS Transit Gateway is widely used in cloud networking and appears regularly in AWS/networking job descriptions for hub-and-spoke VPC connectivity; it’s a standard enterprise AWS service, not a niche add-on.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
646
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Networking and Connectivity Catalog dimension db id 153

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Cloud Networking and Edge Connectivity Catalog dimension db id 136

    Library dimension (catalog)

    Roles linked in library: Cloud Architect

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Networking and Connectivity
cloud-networking-and-connectivity
Existing dimension (library) · Role↔dimension saved
Cloud Networking and Edge Connectivity
cloud-networking-and-edge-connectivity
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
VPN Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: VPN id=304 · vpn

Aliases — catalog

  • VPN (CANONICAL) primary

Context tags (catalog)

Authentication Encryption Firewall IKEv2 IPSec IPsec L2TP NAT traversal Network Security OpenVPN PPTP RADIUS Remote Access SSL VPN SSL/TLS Split Tunneling Tunneling VPN Gateway WireGuard authentication encryption firewall gateway remote access site-to-site split tunneling tunnel

Stored enrichment (catalog DB)

Category
Protocol
Sub-category
Network Tunneling Protocol
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: VPN is broadly used in enterprise networking and remote access; it appears frequently in job descriptions for network/security roles and is supported by major vendors like Cisco, Palo Alto, and AWS.

Skill profile (library / DB)

Skill nature
PROTOCOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
10
Sub-category id
1373
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Network Security Controls Catalog dimension db id 242

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

  • Network Security Controls Catalog dimension db id 60

    Library dimension (catalog)

    Roles linked in library: Cyber Security Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Network Security Controls
cloud-network-security-controls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Network Security Controls
network-security-controls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
VPC Endpoint Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: VPC id=865 · vpc

Aliases — catalog

  • VPC (CANONICAL) primary

Context tags (catalog)

AWS Azure CIDR NAT gateway VPC endpoints VPN firewall load balancer network ACLs peering private IP public IP route tables security groups subnetting

Stored enrichment (catalog DB)

Category
Architecture
Sub-category
Network Isolation Architecture
Confidence
0.88
Version strategy
NOT_APPLICABLE

Maturity reasoning: VPC is a standard cloud networking term and appears routinely in AWS/Azure/GCP job descriptions for network isolation, routing, and security design.

Skill profile (library / DB)

Skill nature
PATTERN
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
1
Sub-category id
587
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Networking and Connectivity Catalog dimension db id 153

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Networking and Connectivity
cloud-networking-and-connectivity
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
CloudWatch Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
CloudWatch Alarms Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
CloudWatch Logs Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
VPC Flow Logs Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: VPC Flow Logs id=1840 · vpc-flow-logs

Aliases — catalog

  • VPC Flow Logs (CANONICAL) primary

Context tags (catalog)

API Gateway AWS CloudTrail CloudWatch IAM S3 VPC anomaly detection data retention log aggregation network monitoring network performance packet inspection real-time logging security auditing traffic analysis

Stored enrichment (catalog DB)

Category
Service
Sub-category
Network Flow Logging Service
Vendor
Amazon Web Services
License
proprietary
Year introduced
2015
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common AWS networking feature; widely referenced in cloud security and networking job descriptions for traffic auditing and incident response, with no sunset or replacement signal.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
1384
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Logging and Audit Trails Catalog dimension db id 245

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Logging and Audit Trails
cloud-logging-and-audit-trails
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
RDS Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: RDS id=1211 · rds

Aliases — catalog

  • RDS (CANONICAL)

Context tags (catalog)

AWS Aurora MySQL PostgreSQL SQL Server backup and restore cloudformation database migration high availability multi-AZ parameter groups performance tuning read replicas scalability security groups

Stored enrichment (catalog DB)

Category
Service
Sub-category
Managed Relational Database Service
Vendor
Amazon Web Services
License
proprietary
Year introduced
2009
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: AWS RDS is a standard managed database service and appears frequently in cloud/DevOps job descriptions alongside PostgreSQL/MySQL on AWS, indicating broad hiring-pipeline adoption.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
918
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension saved
DynamoDB Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Amazon DynamoDB id=93 · amazon-dynamodb

Aliases — catalog

  • Amazon DynamoDB (CANONICAL) primary

Context tags (catalog)

AWS SDK DAX GSI LSI NoSQL Streams TTL boto3 conditional writes on-demand capacity partition key provisioned throughput secondary index sort key transactions

Stored enrichment (catalog DB)

Category
Service
Sub-category
Managed Nosql Database Service
Vendor
Amazon Web Services
License
proprietary
Year introduced
2012
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Commonly listed in cloud/backend job descriptions and widely used on AWS; strong vendor adoption and active ecosystem signal broad market demand.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
55
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • NoSQL Databases Catalog dimension db id 19

    Library dimension (catalog)

    Roles linked in library: Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
NoSQL Databases
nosql-databases
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Redis Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Redis id=31 · redis

Aliases — catalog

  • Redis (CANONICAL) primary

Context tags (catalog)

JSON serialization JSON support LRU eviction Lua scripting Redis Cluster Redis Sentinel Redis Streams TTL backup and restore cache connection pooling data persistence hashes in-memory key expiration lists performance tuning persistence pipeline pub/sub replication sentinel sharding sorted sets streams transactions

Stored enrichment (catalog DB)

Category
Datastore
Sub-category
Key Value Store
Vendor
Redis Labs
License
apache_2
Year introduced
2009
Confidence
0.95
Version strategy
NOT_APPLICABLE

Maturity reasoning: Redis appears in many job descriptions for caching, queues, and session storage, and is a standard datastore in modern backend stacks; vendor activity and broad ecosystem support indicate strong market demand.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
3
Sub-category id
28
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Caching and State Management Catalog dimension db id 7

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer

  • Magento Caching and Performance Catalog dimension db id 404

    Library dimension (catalog)

    Roles linked in library: Magento Dev

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Caching and State Management
caching-and-state-management
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Magento Caching and Performance
magento-caching-and-performance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Microservices Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: microservices id=41 · microservices

Aliases — catalog

  • microservices (CANONICAL) primary

Context tags (catalog)

API Gateway API gateway CQRS DevOps Docker Kubernetes REST API RESTful services Saga pattern Spring Boot circuit breaker containerization decentralized distributed tracing domain-driven design event sourcing event-driven event-driven architecture gRPC load balancing message broker microservices patterns monitoring scalability service discovery service mesh

Stored enrichment (catalog DB)

Category
Architecture
Sub-category
Distributed System Architecture
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Microservices is a common architecture in job descriptions across backend/cloud roles, and major vendors like AWS, Google Cloud, and Kubernetes ecosystems provide first-class support and reference patterns.

Skill profile (library / DB)

Skill nature
PATTERN
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
1
Sub-category id
1
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Microservices and Distributed Systems Catalog dimension db id 9

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Node.js Backend Developer, Scala Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Microservices and Distributed Systems
microservices-and-distributed-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Infrastructure as Code Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Configuration Management Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Blue-Green Deployment Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Blue-green deployment id=251 · blue-green-deployment

Aliases — catalog

  • Blue-green deployment (CANONICAL) primary
  • blue-green deployment (CANONICAL)

Context tags (catalog)

A/B testing DNS cutover DNS switch DevOps automation canary release canary releases cloud-native container orchestration continuous delivery cutover deployment pipeline deployment slots feature flags health checks infrastructure as code load balancer load balancing microservices production environment production traffic release orchestration rollback rolling deployment service mesh staging environment traffic routing traffic shifting versioning zero downtime zero-downtime zero-downtime deployment

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Deployment Strategy
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common deployment strategy in cloud/Kubernetes JDs and vendor docs (AWS, Azure, GCP) for zero-downtime releases; widely referenced in DevOps hiring pipelines.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
1137
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Deployment Automation and Rollouts Catalog dimension db id 151

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Deployment Rollouts and Release Control Catalog dimension db id 51

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

  • Deployment and Release Patterns Catalog dimension db id 140

    Library dimension (catalog)

    Roles linked in library: Cloud Architect

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Deployment Automation and Rollouts
deployment-automation-and-rollouts
Existing dimension (library) · Role↔dimension saved
Deployment Rollouts and Release Control
deployment-rollouts-and-release-control
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Deployment and Release Patterns
deployment-and-release-patterns
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Canary Deployment Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Canary deployment id=1474 · canary-deployment

Aliases — catalog

  • Canary deployment (CANONICAL) primary

Context tags (catalog)

A/B testing blue-green deployment deployment pipeline feature flags gradual rollout monitoring observability performance metrics release management risk mitigation rollback service mesh staging environment traffic splitting user feedback

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Deployment Strategy
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Commonly listed in DevOps/SRE job descriptions and supported by major platforms like Kubernetes, Argo Rollouts, and AWS CodeDeploy, indicating broad adoption for progressive delivery.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
1137
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Deployment Rollouts and Release Control Catalog dimension db id 51

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Deployment Rollouts and Release Control
deployment-rollouts-and-release-control
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
In-place Deployment Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED

All API 3 persistence rows

Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
AWS in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension saved
AWS in_db
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension saved
CI/CD in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Docker in_db
Containerization and Image Builds
containerization-and-image-builds
Existing dimension (library) · Role↔dimension saved
Docker in_db
Deployment and Cloud Platforms
deployment-and-cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Docker in_db
Deployment and Runtime Configuration
deployment-and-runtime-configuration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Kubernetes in_db
Container Orchestration Platforms
container-orchestration-platforms
Existing dimension (library) · Role↔dimension saved
Kubernetes in_db
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
EKS in_db
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
ECS in_db
Container Orchestration Platforms
container-orchestration-platforms
Existing dimension (library) · Role↔dimension saved
Terraform in_db
Infrastructure & Security Automation Frameworks
infrastructure-security-automation-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Terraform in_db
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension saved
Terraform in_db
Infrastructure as Code for ML
infrastructure-as-code-for-ml
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CloudFormation in_db
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension saved
Python in_db
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
PowerShell in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
PowerShell in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Ansible in_db
Configuration Management
configuration-management
Existing dimension (library) · Role↔dimension saved
Chef in_db
Configuration Management
configuration-management
Existing dimension (library) · Role↔dimension saved
Puppet in_db
Configuration Management
configuration-management
Existing dimension (library) · Role↔dimension saved
Git in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitHub in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension saved
GitHub in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitLab in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension saved
GitLab in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Jenkins in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension saved
Jenkins in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitLab CI in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension saved
GitLab CI in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitLab Runner new
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
GitLab Runner new
CI/CD for Machine Learning
ci-cd-for-machine-learning
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Elasticsearch in_db
Magento Search and Indexing
magento-search-and-indexing
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Elasticsearch in_db
Search and Content Discovery
search-and-content-discovery
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Auto Scaling new
Container Orchestration Platforms
container-orchestration-platforms
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Elastic Load Balancing new
Capacity and Staffing Planning
capacity-and-staffing-planning
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Elastic Load Balancing new
Deployment and Release Patterns
deployment-and-release-patterns
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
S3 in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension saved
S3 in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
S3 in_db
Systems Programming
d_init_02
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
IAM in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CloudTrail in_db
Cloud Logging and Audit Trails
cloud-logging-and-audit-trails
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
WAF in_db
Cloud Network Security Controls
cloud-network-security-controls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
WAF in_db
Web Application Vulnerability Concepts
web-application-vulnerability-concepts
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
VPC in_db
Cloud Networking and Connectivity
cloud-networking-and-connectivity
Existing dimension (library) · Role↔dimension saved
Subnets in_db
Cloud Networking and Connectivity
cloud-networking-and-connectivity
Existing dimension (library) · Role↔dimension saved
Transit Gateway in_db
Cloud Networking and Connectivity
cloud-networking-and-connectivity
Existing dimension (library) · Role↔dimension saved
Transit Gateway in_db
Cloud Networking and Edge Connectivity
cloud-networking-and-edge-connectivity
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
VPN in_db
Cloud Network Security Controls
cloud-network-security-controls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
VPN in_db
Network Security Controls
network-security-controls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
VPC Endpoint new
Cloud Networking and Connectivity
cloud-networking-and-connectivity
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
VPC Flow Logs in_db
Cloud Logging and Audit Trails
cloud-logging-and-audit-trails
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
RDS in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension saved
DynamoDB new
NoSQL Databases
nosql-databases
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Redis in_db
Caching and State Management
caching-and-state-management
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Redis in_db
Magento Caching and Performance
magento-caching-and-performance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Microservices in_db
Microservices and Distributed Systems
microservices-and-distributed-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Blue-Green Deployment in_db
Deployment Automation and Rollouts
deployment-automation-and-rollouts
Existing dimension (library) · Role↔dimension saved
Blue-Green Deployment in_db
Deployment Rollouts and Release Control
deployment-rollouts-and-release-control
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Blue-Green Deployment in_db
Deployment and Release Patterns
deployment-and-release-patterns
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Canary Deployment in_db
Deployment Rollouts and Release Control
deployment-rollouts-and-release-control
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Linux | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Shell | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Bitbucket | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed AWS CodeBuild | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed AWS CodeDeploy | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed SonarQube | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed JIRA | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Confluence | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Logstash | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Kibana | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed EC2 | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed AMI | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Lambda | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Spot Instances | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed EFS | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed EBS | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Glacier | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Storage Gateway | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed AWS Config | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed KMS | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed CloudWatch | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed CloudWatch Alarms | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed CloudWatch Logs | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Infrastructure as Code | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Configuration Management | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed In-place Deployment | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
dimension_skill_link_proposed GitLab Runner ↔ CI/CD Pipeline Platforms
role_dimension_link_proposed DevOps Engineer ↔ CI/CD Pipeline Platforms
dimension_skill_link_proposed GitLab Runner ↔ CI/CD for Machine Learning
dimension_skill_link_proposed Auto Scaling ↔ Container Orchestration Platforms
role_dimension_link_proposed DevOps Engineer ↔ Container Orchestration Platforms
dimension_skill_link_proposed Elastic Load Balancing ↔ Capacity and Staffing Planning
dimension_skill_link_proposed Elastic Load Balancing ↔ Deployment and Release Patterns
dimension_skill_link_proposed VPC Endpoint ↔ Cloud Networking and Connectivity
role_dimension_link_proposed DevOps Engineer ↔ Cloud Networking and Connectivity
dimension_skill_link_proposed DynamoDB ↔ NoSQL Databases
nano JD Parser — gpt-4.1-nano click to toggle
RoleCloud DevOps Engineer
CompanyEPAM Systems, Inc.
ExperienceMinimum 8 years of Experience, with 5 years of Relevant experience in Cloud and DevOps.
DomainIT Services & Consulting
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": {
    "source_marker": {
      "first_5_words": "Since 1993, EPAM Systems, Inc.",
      "last_5_words": "as a 2021 Most Loved Workplace."
    },
    "text": "Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider \u2013 leading the industry in digital and physical product development and digital platform engineering services. Through its innovative strategy; integrated advisory, consulting and design capabilities; and unique \u2018Engineering DNA,EPAM\u2019s globally deployed hybrid teams help make the future real for clients and communities around the world by powering better enterprise, education and health platforms that connect people, optimize experiences, and improve people\u2019s lives. Selected by Newsweek as a 2021 Most Loved Workplace.",
    "word_count": 84
  },
  "certifications": [],
  "company_name": "EPAM Systems, Inc.",
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [
        "Information Technology Services",
        "Tech Consulting"
      ],
      "domain": "IT Services \u0026 Consulting"
    },
    "secondary": null
  },
  "education": [],
  "experience": {
    "max": null,
    "min": 8,
    "raw": "Minimum 8 years of Experience, with 5 years of Relevant experience in Cloud and DevOps."
  },
  "job_locations": [],
  "role": "Cloud DevOps Engineer",
  "role_aliases": [
    "DevOps Engineer",
    "Cloud Engineer",
    "AWS DevOps Engineer"
  ],
  "role_archetype": "DevOps",
  "roles_and_responsibilities": [
    {
      "bullet_count": 10,
      "heading": "Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Responsible for fault-tolerance, high-availability,",
        "last_5_words": "services used in the environment quickly."
      },
      "text": "\u2022 Responsible for fault-tolerance, high-availability, scalability, and security on AWS Infrastructure and Platform,\n\u2022 Responsible for implementation of CI/CD pipelines with automated build and test systems.\n\u2022 Responsible for Production Deployment using Multiple Deployment Strategies.\n\u2022 Responsible for Automating the AWS Infrastructure and Platform Deployment with Infrastructure as a Code.\n\u2022 Responsible for Automating System Configurations using Configuration Management Tools.\n\u2022 Good Understanding \u0026 implementation of Microservices Concepts and Best Practices\n\u2022 Enabling application development by coordinating requirements, schedules, and activities.\n\u2022 Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement\n\u2022 Carrying out POCs to make sure that suggested design/technologies meet the requirements\n\u2022 Able to learn the services used in the environment quickly.",
      "word_count": 134
    },
    {
      "bullet_count": 8,
      "heading": "Requirements",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Minimum 8 years of Experience,",
        "last_5_words": "using AWS Orchestration Tools like - Terraform,"
      },
      "text": "\u2022 Minimum 8 years of Experience, with 5 years of Relevant experience in Cloud and DevOps.\n\u2022 Hands on Production Experience in Linux or Window System Engineering\n\u2022 Hands on Production Experience with AWS Compute Service: EC2, AMI, Lambda, Autoscaling, Load Balancers, Spot Instances\n\u2022 Hands on Production Experience with AWS Storage Service: S3, EFS, EBS, Glacier, Storage Gateway\n\u2022 Hands on Production Experience with AWS Security Service: IAM, AWS Config, Cloud Trail, WAF, KMS\n\u2022 Hands on Production Experience with AWS Network Service: VPC, Subnets, Router, Transit Gateway, VPN, VPC Endpoint\n\u2022 Hands on Production Experience with AWS observability Service: CloudWatch Alarms, CloudWatch Logs, Cloud Trail, VPC Flow Logs, ECS/EKS Enhance Monitoring\n\u2022 Good Automation Skills using AWS Orchestration Tools like - Terraform, Cloud Formation",
      "word_count": 139
    },
    {
      "bullet_count": 8,
      "heading": "Nice to have",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Hands on Production experience in Docker",
        "last_5_words": "Elasticsearch, Logstash \u0026 Kibana stacks."
      },
      "text": "\u2022 Hands on Production experience in Docker and Container Orchestration using Kubernetes on AWS EKS or AWS ECS\n\u2022 Hands on Production Experience with AWS Database Service: AWS RDS, Cache, Read Replicas, Dynamo DB\n\u2022 Ability to write scripts (Linux/shell/Python/Windows PowerShell) to automate Cloud Automation Tasks or Configuration Management tasks or Ability to use Configuration Management tools like Ansible/Chef/Puppet\n\u2022 Experience in Source Code Management: Gitlab/ GitHub/ Bitbucket/Code Commit.\n\u2022 Experience in Build Automation Server: AWS Code build/ AWS Code deploy/ Jenkins/ Gitlab CI/ Gitlab runner/ Sonar.\n\u2022 Collaboration: JIRA/ Confluence\n\u2022 Experience in In place Deployment, Blue Green Deployment and Canary Deployment.\n\u2022 Experience with Elasticsearch, Logstash \u0026 Kibana stacks.",
      "word_count": 139
    },
    {
      "bullet_count": 5,
      "heading": "Technologies",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 AWS Cloud \u0026 its services -",
        "last_5_words": "Kubernetes / EKS"
      },
      "text": "\u2022 AWS Cloud \u0026 its services - Compute, Network, IAM/Security, Observability, Databases services\n\u2022 Linux Administration\n\u2022 Scripting Language -Python / Shell scripting / Powershell\n\u2022 Infrastructure as Code - Terraform / Cloudformation\n\u2022 Kubernetes / EKS",
      "word_count": 37
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "AWS"
    },
    {
      "is_primary": true,
      "skill_name": "CI/CD"
    },
    {
      "is_primary": true,
      "skill_name": "Docker"
    },
    {
      "is_primary": true,
      "skill_name": "Kubernetes"
    },
    {
      "is_primary": true,
      "skill_name": "EKS"
    },
    {
      "is_primary": false,
      "skill_name": "ECS"
    },
    {
      "is_primary": true,
      "skill_name": "Terraform"
    },
    {
      "is_primary": true,
      "skill_name": "CloudFormation"
    },
    {
      "is_primary": true,
      "skill_name": "Linux"
    },
    {
      "is_primary": true,
      "skill_name": "Shell"
    },
    {
      "is_primary": true,
      "skill_name": "Python"
    },
    {
      "is_primary": false,
      "skill_name": "PowerShell"
    },
    {
      "is_primary": false,
      "skill_name": "Ansible"
    },
    {
      "is_primary": false,
      "skill_name": "Chef"
    },
    {
      "is_primary": false,
      "skill_name": "Puppet"
    },
    {
      "is_primary": true,
      "skill_name": "Git"
    },
    {
      "is_primary": false,
      "skill_name": "GitHub"
    },
    {
      "is_primary": false,
      "skill_name": "GitLab"
    },
    {
      "is_primary": false,
      "skill_name": "Bitbucket"
    },
    {
      "is_primary": false,
      "skill_name": "AWS CodeBuild"
    },
    {
      "is_primary": false,
      "skill_name": "AWS CodeDeploy"
    },
    {
      "is_primary": false,
      "skill_name": "Jenkins"
    },
    {
      "is_primary": false,
      "skill_name": "GitLab CI"
    },
    {
      "is_primary": false,
      "skill_name": "GitLab Runner"
    },
    {
      "is_primary": false,
      "skill_name": "SonarQube"
    },
    {
      "is_primary": false,
      "skill_name": "JIRA"
    },
    {
      "is_primary": false,
      "skill_name": "Confluence"
    },
    {
      "is_primary": false,
      "skill_name": "Elasticsearch"
    },
    {
      "is_primary": false,
      "skill_name": "Logstash"
    },
    {
      "is_primary": false,
      "skill_name": "Kibana"
    },
    {
      "is_primary": false,
      "skill_name": "EC2"
    },
    {
      "is_primary": false,
      "skill_name": "AMI"
    },
    {
      "is_primary": false,
      "skill_name": "Lambda"
    },
    {
      "is_primary": false,
      "skill_name": "Auto Scaling"
    },
    {
      "is_primary": false,
      "skill_name": "Elastic Load Balancing"
    },
    {
      "is_primary": false,
      "skill_name": "Spot Instances"
    },
    {
      "is_primary": false,
      "skill_name": "S3"
    },
    {
      "is_primary": false,
      "skill_name": "EFS"
    },
    {
      "is_primary": false,
      "skill_name": "EBS"
    },
    {
      "is_primary": false,
      "skill_name": "Glacier"
    },
    {
      "is_primary": false,
      "skill_name": "Storage Gateway"
    },
    {
      "is_primary": false,
      "skill_name": "IAM"
    },
    {
      "is_primary": false,
      "skill_name": "AWS Config"
    },
    {
      "is_primary": false,
      "skill_name": "CloudTrail"
    },
    {
      "is_primary": false,
      "skill_name": "WAF"
    },
    {
      "is_primary": false,
      "skill_name": "KMS"
    },
    {
      "is_primary": false,
      "skill_name": "VPC"
    },
    {
      "is_primary": false,
      "skill_name": "Subnets"
    },
    {
      "is_primary": false,
      "skill_name": "Transit Gateway"
    },
    {
      "is_primary": false,
      "skill_name": "VPN"
    },
    {
      "is_primary": false,
      "skill_name": "VPC Endpoint"
    },
    {
      "is_primary": false,
      "skill_name": "CloudWatch"
    },
    {
      "is_primary": false,
      "skill_name": "CloudWatch Alarms"
    },
    {
      "is_primary": false,
      "skill_name": "CloudWatch Logs"
    },
    {
      "is_primary": false,
      "skill_name": "VPC Flow Logs"
    },
    {
      "is_primary": false,
      "skill_name": "RDS"
    },
    {
      "is_primary": false,
      "skill_name": "DynamoDB"
    },
    {
      "is_primary": false,
      "skill_name": "Redis"
    },
    {
      "is_primary": false,
      "skill_name": "Microservices"
    },
    {
      "is_primary": true,
      "skill_name": "Infrastructure as Code"
    },
    {
      "is_primary": false,
      "skill_name": "Configuration Management"
    },
    {
      "is_primary": false,
      "skill_name": "Blue-Green Deployment"
    },
    {
      "is_primary": false,
      "skill_name": "Canary Deployment"
    },
    {
      "is_primary": false,
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}
API 2 — extract-details
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        "rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
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          "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
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          "display_name": "Cyber Security Engineer",
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          "rationale": null,
          "role_archetype": null,
          "slug": "cybersecurity-engineer",
          "source": "db"
        },
        {
          "display_name": "Data Engineer",
          "id": 2,
          "rationale": null,
          "role_archetype": null,
          "slug": "data-engineer",
          "source": "db"
        },
        {
          "display_name": "DevOps Engineer",
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          "rationale": null,
          "role_archetype": null,
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        },
        {
          "display_name": "Fullstack Developer",
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          "rationale": null,
          "role_archetype": null,
          "slug": "full-stack-engineer",
          "source": "db"
        },
        {
          "display_name": "Go Backend Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "go-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Java Backend Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "java-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Kotlin Backend Developer",
          "id": 84,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "kotlin-server-backend-developer",
          "source": "db"
        },
        {
          "display_name": "ML Engineer",
          "id": 3,
          "rationale": null,
          "role_archetype": null,
          "slug": "ml-engineer",
          "source": "db"
        },
        {
          "display_name": "MLOps Engineer",
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          "rationale": null,
          "role_archetype": null,
          "slug": "ml-ops-engineer",
          "source": "db"
        },
        {
          "display_name": "Node.js Backend Developer",
          "id": 82,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "node-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Python Backend Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "python-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Scala Backend Developer",
          "id": 87,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "scala-backend-developer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "React Frontend Development",
        "id": 96,
        "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
        "slug": "d_init_01",
        "source": "db"
      },
      "input_skill": "S3",
      "llm_role": null,
      "roles_from_db": []
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Systems Programming",
        "id": 166,
        "rationale": "Systems programming covers low-level software development where performance, memory safety, and direct control over resources matter. Rust fits here because it is commonly used for OS-adjacent services, infrastructure components, and other performance-sensitive systems code.",
        "slug": "d_init_02",
        "source": "db"
      },
      "input_skill": "S3",
      "llm_role": null,
      "roles_from_db": []
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "React Frontend Development",
        "id": 96,
        "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
        "slug": "d_init_01",
        "source": "db"
      },
      "input_skill": "IAM",
      "llm_role": null,
      "roles_from_db": []
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Logging and Audit Trails",
        "id": 245,
        "rationale": "Cloud-native telemetry sources used to validate security controls, investigate events, and support compliance evidence. This includes provider logs, control-plane events, and access history needed for cloud security reviews.",
        "slug": "cloud-logging-and-audit-trails",
        "source": "db"
      },
      "input_skill": "CloudTrail",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cloud Security Engineer",
          "id": 23,
          "rationale": null,
          "role_archetype": null,
          "slug": "cloud-security-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Network Security Controls",
        "id": 242,
        "rationale": "Controls and techniques for protecting cloud traffic, remote access, and boundary exposure. This includes segmentation, firewalling, private connectivity, and cloud-native network inspection patterns.",
        "slug": "cloud-network-security-controls",
        "source": "db"
      },
      "input_skill": "WAF",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cloud Security Engineer",
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          "rationale": null,
          "role_archetype": null,
          "slug": "cloud-security-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Web Application Vulnerability Concepts",
        "id": 69,
        "rationale": "Common web exploit classes and defensive patterns used to assess application risk. This cluster is coherent because the role repeatedly reviews the same families of flaws across services and frameworks.",
        "slug": "web-application-vulnerability-concepts",
        "source": "db"
      },
      "input_skill": "WAF",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cyber Security Engineer",
          "id": 5,
          "rationale": null,
          "role_archetype": null,
          "slug": "cybersecurity-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Networking and Connectivity",
        "id": 153,
        "rationale": "Network primitives and connectivity patterns used to expose services and connect environments. DevOps engineers need this to troubleshoot deployment reachability, ingress, DNS, and environment-to-environment communication.",
        "slug": "cloud-networking-and-connectivity",
        "source": "db"
      },
      "input_skill": "VPC",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "DevOps Engineer",
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          "rationale": null,
          "role_archetype": null,
          "slug": "devops-engineer",
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        }
      ]
    },
    {
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        "difficulty_hint": "well_known",
        "display_name": "Cloud Networking and Connectivity",
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        "rationale": "Network primitives and connectivity patterns used to expose services and connect environments. DevOps engineers need this to troubleshoot deployment reachability, ingress, DNS, and environment-to-environment communication.",
        "slug": "cloud-networking-and-connectivity",
        "source": "db"
      },
      "input_skill": "Subnets",
      "llm_role": null,
      "roles_from_db": [
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          "rationale": null,
          "role_archetype": null,
          "slug": "devops-engineer",
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      ]
    },
    {
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        "difficulty_hint": "well_known",
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        "rationale": "Network primitives and connectivity patterns used to expose services and connect environments. DevOps engineers need this to troubleshoot deployment reachability, ingress, DNS, and environment-to-environment communication.",
        "slug": "cloud-networking-and-connectivity",
        "source": "db"
      },
      "input_skill": "Transit Gateway",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "DevOps Engineer",
          "id": 10,
          "rationale": null,
          "role_archetype": null,
          "slug": "devops-engineer",
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        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Networking and Edge Connectivity",
        "id": 136,
        "rationale": "Network architecture for cloud environments, including segmentation, connectivity, and ingress/egress patterns. Cloud Architects use this to define trust boundaries and workload placement standards.",
        "slug": "cloud-networking-and-edge-connectivity",
        "source": "db"
      },
      "input_skill": "Transit Gateway",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cloud Architect",
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          "rationale": null,
          "role_archetype": null,
          "slug": "cloud-architect",
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        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Network Security Controls",
        "id": 242,
        "rationale": "Controls and techniques for protecting cloud traffic, remote access, and boundary exposure. This includes segmentation, firewalling, private connectivity, and cloud-native network inspection patterns.",
        "slug": "cloud-network-security-controls",
        "source": "db"
      },
      "input_skill": "VPN",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cloud Security Engineer",
          "id": 23,
          "rationale": null,
          "role_archetype": null,
          "slug": "cloud-security-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Network Security Controls",
        "id": 60,
        "rationale": "Controls and techniques for protecting network traffic, remote access, and perimeter exposure. This cluster is coherent because it covers the protocols and enforcement points used to reduce lateral movement and unauthorized access.",
        "slug": "network-security-controls",
        "source": "db"
      },
      "input_skill": "VPN",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cyber Security Engineer",
          "id": 5,
          "rationale": null,
          "role_archetype": null,
          "slug": "cybersecurity-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Networking and Connectivity",
        "id": 153,
        "rationale": "Network primitives and connectivity patterns used to expose services and connect environments. DevOps engineers need this to troubleshoot deployment reachability, ingress, DNS, and environment-to-environment communication.",
        "slug": "cloud-networking-and-connectivity",
        "source": "db"
      },
      "input_skill": "VPC Endpoint",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "DevOps Engineer",
          "id": 10,
          "rationale": null,
          "role_archetype": null,
          "slug": "devops-engineer",
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        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Logging and Audit Trails",
        "id": 245,
        "rationale": "Cloud-native telemetry sources used to validate security controls, investigate events, and support compliance evidence. This includes provider logs, control-plane events, and access history needed for cloud security reviews.",
        "slug": "cloud-logging-and-audit-trails",
        "source": "db"
      },
      "input_skill": "VPC Flow Logs",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cloud Security Engineer",
          "id": 23,
          "rationale": null,
          "role_archetype": null,
          "slug": "cloud-security-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Platforms",
        "id": 20,
        "rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
        "slug": "cloud-platforms",
        "source": "db"
      },
      "input_skill": "RDS",
      "llm_role": null,
      "roles_from_db": [
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          "display_name": ".NET Backend Developer",
          "id": 83,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "dotnet-backend-developer",
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        },
        {
          "display_name": "Backend Developer",
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          "rationale": null,
          "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
          "slug": "backend-engineer",
          "source": "db"
        },
        {
          "display_name": "Cyber Security Engineer",
          "id": 5,
          "rationale": null,
          "role_archetype": null,
          "slug": "cybersecurity-engineer",
          "source": "db"
        },
        {
          "display_name": "Data Engineer",
          "id": 2,
          "rationale": null,
          "role_archetype": null,
          "slug": "data-engineer",
          "source": "db"
        },
        {
          "display_name": "DevOps Engineer",
          "id": 10,
          "rationale": null,
          "role_archetype": null,
          "slug": "devops-engineer",
          "source": "db"
        },
        {
          "display_name": "Fullstack Developer",
          "id": 15,
          "rationale": null,
          "role_archetype": null,
          "slug": "full-stack-engineer",
          "source": "db"
        },
        {
          "display_name": "Go Backend Developer",
          "id": 81,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "go-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Java Backend Developer",
          "id": 79,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "java-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Kotlin Backend Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "kotlin-server-backend-developer",
          "source": "db"
        },
        {
          "display_name": "ML Engineer",
          "id": 3,
          "rationale": null,
          "role_archetype": null,
          "slug": "ml-engineer",
          "source": "db"
        },
        {
          "display_name": "MLOps Engineer",
          "id": 16,
          "rationale": null,
          "role_archetype": null,
          "slug": "ml-ops-engineer",
          "source": "db"
        },
        {
          "display_name": "Node.js Backend Developer",
          "id": 82,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "node-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Python Backend Developer",
          "id": 80,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "python-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Scala Backend Developer",
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          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "scala-backend-developer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "NoSQL Databases",
        "id": 19,
        "rationale": "Models and manages data using non-relational database systems.",
        "slug": "nosql-databases",
        "source": "db"
      },
      "input_skill": "DynamoDB",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Backend Developer",
          "id": 1,
          "rationale": null,
          "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
          "slug": "backend-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Caching and State Management",
        "id": 7,
        "rationale": "Techniques and systems for reducing latency and managing ephemeral backend state. Covers cache-aside patterns, distributed caches, session stores, and invalidation strategies.",
        "slug": "caching-and-state-management",
        "source": "db"
      },
      "input_skill": "Redis",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": ".NET Backend Developer",
          "id": 83,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "dotnet-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Backend Developer",
          "id": 1,
          "rationale": null,
          "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
          "slug": "backend-engineer",
          "source": "db"
        },
        {
          "display_name": "Kotlin Backend Developer",
          "id": 84,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "kotlin-server-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Node.js Backend Developer",
          "id": 82,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "node-backend-developer",
          "source": "db"
        },
        {
          "display_name": "PHP Backend Developer",
          "id": 86,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "php-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Python Backend Developer",
          "id": 80,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "python-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Ruby Backend Developer",
          "id": 85,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "ruby-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Scala Backend Developer",
          "id": 87,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "scala-backend-developer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Magento Caching and Performance",
        "id": 404,
        "rationale": "Performance tuning specific to Magento storefronts and their rendering pipeline. This includes cache layers, page generation costs, and practical optimizations that preserve upgradeability while improving shopper experience.",
        "slug": "magento-caching-and-performance",
        "source": "db"
      },
      "input_skill": "Redis",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Magento Dev",
          "id": 231,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "magento-dev",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Microservices and Distributed Systems",
        "id": 9,
        "rationale": "Architectural patterns for decomposed backend systems and the operational concerns they introduce. Covers service boundaries, consistency tradeoffs, retries, circuit breakers, and distributed coordination.",
        "slug": "microservices-and-distributed-systems",
        "source": "db"
      },
      "input_skill": "Microservices",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Backend Developer",
          "id": 1,
          "rationale": null,
          "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
          "slug": "backend-engineer",
          "source": "db"
        },
        {
          "display_name": "Node.js Backend Developer",
          "id": 82,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "node-backend-developer",
          "source": "db"
        },
        {
          "display_name": "Scala Backend Developer",
          "id": 87,
          "rationale": null,
          "role_archetype": "Engineering",
          "slug": "scala-backend-developer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Deployment Automation and Rollouts",
        "id": 151,
        "rationale": "Mechanisms for promoting releases across environments, coordinating approvals, and executing safe rollouts or rollbacks. This is central to the role because it covers the path from merged code to production deployment.",
        "slug": "deployment-automation-and-rollouts",
        "source": "db"
      },
      "input_skill": "Blue-Green Deployment",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "DevOps Engineer",
          "id": 10,
          "rationale": null,
          "role_archetype": null,
          "slug": "devops-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Deployment Rollouts and Release Control",
        "id": 51,
        "rationale": "Practices for safely promoting models through environments and managing rollback when production behavior changes. This dimension covers release gating, version pinning, and rollout strategies specific to ML systems.",
        "slug": "deployment-rollouts-and-release-control",
        "source": "db"
      },
      "input_skill": "Blue-Green Deployment",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "ML Engineer",
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          "rationale": null,
          "role_archetype": null,
          "slug": "ml-engineer",
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        },
        {
          "display_name": "MLOps Engineer",
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          "rationale": null,
          "role_archetype": null,
          "slug": "ml-ops-engineer",
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        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Deployment and Release Patterns",
        "id": 140,
        "rationale": "Patterns for promoting changes safely across environments, including rollout, rollback, and release gating strategies. Cloud Architects define these patterns so teams can deploy consistently across the platform.",
        "slug": "deployment-and-release-patterns",
        "source": "db"
      },
      "input_skill": "Blue-Green Deployment",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cloud Architect",
          "id": 9,
          "rationale": null,
          "role_archetype": null,
          "slug": "cloud-architect",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Deployment Rollouts and Release Control",
        "id": 51,
        "rationale": "Practices for safely promoting models through environments and managing rollback when production behavior changes. This dimension covers release gating, version pinning, and rollout strategies specific to ML systems.",
        "slug": "deployment-rollouts-and-release-control",
        "source": "db"
      },
      "input_skill": "Canary Deployment",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "ML Engineer",
          "id": 3,
          "rationale": null,
          "role_archetype": null,
          "slug": "ml-engineer",
          "source": "db"
        },
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            },
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            },
            {
              "display_name": "MLOps Engineer",
              "id": 16,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-ops-engineer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "RDS",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Amazon DynamoDB",
          "alias_type": "CANONICAL",
          "id": 254,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 11,
        "display_name": "Amazon DynamoDB",
        "id": 93,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CLOUD_SERVICE",
        "slug": "amazon-dynamodb",
        "sub_category_id": 55,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "NoSQL Databases",
            "id": 19,
            "rationale": "Models and manages data using non-relational database systems.",
            "slug": "nosql-databases",
            "source": "db"
          },
          "input_skill": "DynamoDB",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Backend Developer",
              "id": 1,
              "rationale": null,
              "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
              "slug": "backend-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "DynamoDB",
      "matched_via": "embedding_display_name",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Redis",
          "alias_type": "CANONICAL",
          "id": 168,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 3,
        "display_name": "Redis",
        "id": 31,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "redis",
        "sub_category_id": 28,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Caching and State Management",
            "id": 7,
            "rationale": "Techniques and systems for reducing latency and managing ephemeral backend state. Covers cache-aside patterns, distributed caches, session stores, and invalidation strategies.",
            "slug": "caching-and-state-management",
            "source": "db"
          },
          "input_skill": "Redis",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": ".NET Backend Developer",
              "id": 83,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "dotnet-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Backend Developer",
              "id": 1,
              "rationale": null,
              "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
              "slug": "backend-engineer",
              "source": "db"
            },
            {
              "display_name": "Kotlin Backend Developer",
              "id": 84,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "kotlin-server-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "PHP Backend Developer",
              "id": 86,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "php-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Ruby Backend Developer",
              "id": 85,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "ruby-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Magento Caching and Performance",
            "id": 404,
            "rationale": "Performance tuning specific to Magento storefronts and their rendering pipeline. This includes cache layers, page generation costs, and practical optimizations that preserve upgradeability while improving shopper experience.",
            "slug": "magento-caching-and-performance",
            "source": "db"
          },
          "input_skill": "Redis",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Magento Dev",
              "id": 231,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "magento-dev",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Redis",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "microservices",
          "alias_type": "CANONICAL",
          "id": 178,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 1,
        "display_name": "microservices",
        "id": 41,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PATTERN",
        "slug": "microservices",
        "sub_category_id": 1,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Microservices and Distributed Systems",
            "id": 9,
            "rationale": "Architectural patterns for decomposed backend systems and the operational concerns they introduce. Covers service boundaries, consistency tradeoffs, retries, circuit breakers, and distributed coordination.",
            "slug": "microservices-and-distributed-systems",
            "source": "db"
          },
          "input_skill": "Microservices",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Backend Developer",
              "id": 1,
              "rationale": null,
              "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
              "slug": "backend-engineer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Microservices",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Infrastructure as Code",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Other",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "infrastructure-as-code",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Configuration Management",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Other",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "configuration-management",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Blue-green deployment",
          "alias_type": "CANONICAL",
          "id": 2370,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "blue-green deployment",
          "alias_type": "CANONICAL",
          "id": 512,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "Blue-green deployment",
        "id": 251,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "blue-green-deployment",
        "sub_category_id": 1137,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Deployment Automation and Rollouts",
            "id": 151,
            "rationale": "Mechanisms for promoting releases across environments, coordinating approvals, and executing safe rollouts or rollbacks. This is central to the role because it covers the path from merged code to production deployment.",
            "slug": "deployment-automation-and-rollouts",
            "source": "db"
          },
          "input_skill": "Blue-Green Deployment",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Deployment Rollouts and Release Control",
            "id": 51,
            "rationale": "Practices for safely promoting models through environments and managing rollback when production behavior changes. This dimension covers release gating, version pinning, and rollout strategies specific to ML systems.",
            "slug": "deployment-rollouts-and-release-control",
            "source": "db"
          },
          "input_skill": "Blue-Green Deployment",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            },
            {
              "display_name": "MLOps Engineer",
              "id": 16,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-ops-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Deployment and Release Patterns",
            "id": 140,
            "rationale": "Patterns for promoting changes safely across environments, including rollout, rollback, and release gating strategies. Cloud Architects define these patterns so teams can deploy consistently across the platform.",
            "slug": "deployment-and-release-patterns",
            "source": "db"
          },
          "input_skill": "Blue-Green Deployment",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Blue-Green Deployment",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Canary deployment",
          "alias_type": "CANONICAL",
          "id": 2369,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "Canary deployment",
        "id": 1474,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "canary-deployment",
        "sub_category_id": 1137,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Deployment Rollouts and Release Control",
            "id": 51,
            "rationale": "Practices for safely promoting models through environments and managing rollback when production behavior changes. This dimension covers release gating, version pinning, and rollout strategies specific to ML systems.",
            "slug": "deployment-rollouts-and-release-control",
            "source": "db"
          },
          "input_skill": "Canary Deployment",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            },
            {
              "display_name": "MLOps Engineer",
              "id": 16,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-ops-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Canary Deployment",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "In-place Deployment",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Other",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "in-place-deployment",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Linux",
    "Shell",
    "Bitbucket",
    "AWS CodeBuild",
    "AWS CodeDeploy",
    "SonarQube",
    "JIRA",
    "Confluence",
    "Logstash",
    "Kibana",
    "EC2",
    "AMI",
    "Lambda",
    "Spot Instances",
    "EFS",
    "EBS",
    "Glacier",
    "Storage Gateway",
    "AWS Config",
    "KMS",
    "CloudWatch",
    "CloudWatch Alarms",
    "CloudWatch Logs",
    "Infrastructure as Code",
    "Configuration Management",
    "In-place Deployment"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "DevOps Engineer",
    "id": 10,
    "rationale": "Domain=DevOps \u0026 Platform \u2192 sub-role ci-cd-engineer; The JD centers on AWS cloud infrastructure automation, CI/CD, deployment strategies, containers, and DevOps tooling, which best matches a DevOps Engineer.",
    "role_archetype": null,
    "slug": "devops-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "AWS",
      "tag": "in_db"
    },
    {
      "skill": "CI/CD",
      "tag": "in_db"
    },
    {
      "skill": "Docker",
      "tag": "in_db"
    },
    {
      "skill": "Kubernetes",
      "tag": "in_db"
    },
    {
      "skill": "EKS",
      "tag": "in_db"
    },
    {
      "skill": "ECS",
      "tag": "in_db"
    },
    {
      "skill": "Terraform",
      "tag": "in_db"
    },
    {
      "skill": "CloudFormation",
      "tag": "in_db"
    },
    {
      "skill": "Linux",
      "tag": "new"
    },
    {
      "skill": "Shell",
      "tag": "new"
    },
    {
      "skill": "Python",
      "tag": "in_db"
    },
    {
      "skill": "PowerShell",
      "tag": "in_db"
    },
    {
      "skill": "Ansible",
      "tag": "in_db"
    },
    {
      "skill": "Chef",
      "tag": "in_db"
    },
    {
      "skill": "Puppet",
      "tag": "in_db"
    },
    {
      "skill": "Git",
      "tag": "in_db"
    },
    {
      "skill": "GitHub",
      "tag": "in_db"
    },
    {
      "skill": "GitLab",
      "tag": "in_db"
    },
    {
      "skill": "Bitbucket",
      "tag": "new"
    },
    {
      "skill": "AWS CodeBuild",
      "tag": "new"
    },
    {
      "skill": "AWS CodeDeploy",
      "tag": "new"
    },
    {
      "skill": "Jenkins",
      "tag": "in_db"
    },
    {
      "skill": "GitLab CI",
      "tag": "in_db"
    },
    {
      "skill": "GitLab Runner",
      "tag": "in_db"
    },
    {
      "skill": "SonarQube",
      "tag": "new"
    },
    {
      "skill": "JIRA",
      "tag": "new"
    },
    {
      "skill": "Confluence",
      "tag": "new"
    },
    {
      "skill": "Elasticsearch",
      "tag": "in_db"
    },
    {
      "skill": "Logstash",
      "tag": "new"
    },
    {
      "skill": "Kibana",
      "tag": "new"
    },
    {
      "skill": "EC2",
      "tag": "new"
    },
    {
      "skill": "AMI",
      "tag": "new"
    },
    {
      "skill": "Lambda",
      "tag": "new"
    },
    {
      "skill": "Auto Scaling",
      "tag": "in_db"
    },
    {
      "skill": "Elastic Load Balancing",
      "tag": "in_db"
    },
    {
      "skill": "Spot Instances",
      "tag": "new"
    },
    {
      "skill": "S3",
      "tag": "in_db"
    },
    {
      "skill": "EFS",
      "tag": "new"
    },
    {
      "skill": "EBS",
      "tag": "new"
    },
    {
      "skill": "Glacier",
      "tag": "new"
    },
    {
      "skill": "Storage Gateway",
      "tag": "new"
    },
    {
      "skill": "IAM",
      "tag": "in_db"
    },
    {
      "skill": "AWS Config",
      "tag": "new"
    },
    {
      "skill": "CloudTrail",
      "tag": "in_db"
    },
    {
      "skill": "WAF",
      "tag": "in_db"
    },
    {
      "skill": "KMS",
      "tag": "new"
    },
    {
      "skill": "VPC",
      "tag": "in_db"
    },
    {
      "skill": "Subnets",
      "tag": "in_db"
    },
    {
      "skill": "Transit Gateway",
      "tag": "in_db"
    },
    {
      "skill": "VPN",
      "tag": "in_db"
    },
    {
      "skill": "VPC Endpoint",
      "tag": "in_db"
    },
    {
      "skill": "CloudWatch",
      "tag": "new"
    },
    {
      "skill": "CloudWatch Alarms",
      "tag": "new"
    },
    {
      "skill": "CloudWatch Logs",
      "tag": "new"
    },
    {
      "skill": "VPC Flow Logs",
      "tag": "in_db"
    },
    {
      "skill": "RDS",
      "tag": "in_db"
    },
    {
      "skill": "DynamoDB",
      "tag": "in_db"
    },
    {
      "skill": "Redis",
      "tag": "in_db"
    },
    {
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            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 283,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "CI/CD Pipeline Platforms",
          "id": 150,
          "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
          "slug": "ci-cd-pipeline-platforms",
          "source": "db"
        },
        "dimension_id": 150,
        "input_skill": "GitLab CI",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 282,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "CI/CD for Machine Learning",
          "id": 56,
          "rationale": "Tools and platforms for automating ML model integration, testing, and deployment pipelines.",
          "slug": "ci-cd-for-machine-learning",
          "source": "db"
        },
        "dimension_id": 56,
        "input_skill": "GitLab CI",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 282,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "CI/CD Pipeline Platforms",
          "id": 150,
          "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
          "slug": "ci-cd-pipeline-platforms",
          "source": "db"
        },
        "dimension_id": 150,
        "input_skill": "GitLab Runner",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "CI/CD for Machine Learning",
          "id": 56,
          "rationale": "Tools and platforms for automating ML model integration, testing, and deployment pipelines.",
          "slug": "ci-cd-for-machine-learning",
          "source": "db"
        },
        "dimension_id": 56,
        "input_skill": "GitLab Runner",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Magento Search and Indexing",
          "id": 403,
          "rationale": "Index-driven storefront data freshness and search behavior. This cluster is coherent because Magento commerce sites depend on indexing to keep catalog, price, and search results aligned with changing data.",
          "slug": "magento-search-and-indexing",
          "source": "db"
        },
        "dimension_id": 403,
        "input_skill": "Elasticsearch",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Magento Dev",
            "id": 231,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "magento-dev",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 3171,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Search and Content Discovery",
          "id": 356,
          "rationale": "Implementing site search, indexing, and content discovery features in Drupal. This cluster is coherent because many Drupal sites need structured search experiences beyond basic navigation.",
          "slug": "search-and-content-discovery",
          "source": "db"
        },
        "dimension_id": 356,
        "input_skill": "Elasticsearch",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Drupal Dev",
            "id": 228,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "drupal-dev",
            "source": "db"
          },
          {
            "display_name": "Sitecore Dev",
            "id": 233,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "sitecore-dev",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 3171,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Container Orchestration Platforms",
          "id": 134,
          "rationale": "Platforms that schedule and manage containerized workloads across clusters and environments. Cloud Architects need these to define workload placement standards, cluster boundaries, and platform capabilities.",
          "slug": "container-orchestration-platforms",
          "source": "db"
        },
        "dimension_id": 134,
        "input_skill": "Auto Scaling",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cloud Architect",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-architect",
            "source": "db"
          },
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Capacity and Staffing Planning",
          "id": 464,
          "rationale": "Balances team capacity against roadmap demand and adjusts staffing plans accordingly. This is a coherent managerial cluster because it links delivery commitments to headcount, allocation, and sustainable pace.",
          "slug": "capacity-and-staffing-planning",
          "source": "db"
        },
        "dimension_id": 464,
        "input_skill": "Elastic Load Balancing",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Engineering Manager",
            "id": 121,
            "rationale": null,
            "role_archetype": null,
            "slug": "engineering-manager",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Deployment and Release Patterns",
          "id": 140,
          "rationale": "Patterns for promoting changes safely across environments, including rollout, rollback, and release gating strategies. Cloud Architects define these patterns so teams can deploy consistently across the platform.",
          "slug": "deployment-and-release-patterns",
          "source": "db"
        },
        "dimension_id": 140,
        "input_skill": "Elastic Load Balancing",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cloud Architect",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-architect",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Platforms",
          "id": 20,
          "rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
          "slug": "cloud-platforms",
          "source": "db"
        },
        "dimension_id": 20,
        "input_skill": "S3",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": ".NET Backend Developer",
            "id": 83,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "dotnet-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Backend Developer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
            "slug": "backend-engineer",
            "source": "db"
          },
          {
            "display_name": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          },
          {
            "display_name": "Data Engineer",
            "id": 2,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-engineer",
            "source": "db"
          },
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          },
          {
            "display_name": "Go Backend Developer",
            "id": 81,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "go-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Java Backend Developer",
            "id": 79,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "java-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Kotlin Backend Developer",
            "id": 84,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "kotlin-server-backend-developer",
            "source": "db"
          },
          {
            "display_name": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          },
          {
            "display_name": "MLOps Engineer",
            "id": 16,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-ops-engineer",
            "source": "db"
          },
          {
            "display_name": "Node.js Backend Developer",
            "id": 82,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "node-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Python Backend Developer",
            "id": 80,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "python-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Scala Backend Developer",
            "id": 87,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "scala-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1212,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "S3",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 1212,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Systems Programming",
          "id": 166,
          "rationale": "Systems programming covers low-level software development where performance, memory safety, and direct control over resources matter. Rust fits here because it is commonly used for OS-adjacent services, infrastructure components, and other performance-sensitive systems code.",
          "slug": "d_init_02",
          "source": "db"
        },
        "dimension_id": 166,
        "input_skill": "S3",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 1212,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "IAM",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 1217,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Logging and Audit Trails",
          "id": 245,
          "rationale": "Cloud-native telemetry sources used to validate security controls, investigate events, and support compliance evidence. This includes provider logs, control-plane events, and access history needed for cloud security reviews.",
          "slug": "cloud-logging-and-audit-trails",
          "source": "db"
        },
        "dimension_id": 245,
        "input_skill": "CloudTrail",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cloud Security Engineer",
            "id": 23,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-security-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1837,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Network Security Controls",
          "id": 242,
          "rationale": "Controls and techniques for protecting cloud traffic, remote access, and boundary exposure. This includes segmentation, firewalling, private connectivity, and cloud-native network inspection patterns.",
          "slug": "cloud-network-security-controls",
          "source": "db"
        },
        "dimension_id": 242,
        "input_skill": "WAF",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cloud Security Engineer",
            "id": 23,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-security-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 376,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Web Application Vulnerability Concepts",
          "id": 69,
          "rationale": "Common web exploit classes and defensive patterns used to assess application risk. This cluster is coherent because the role repeatedly reviews the same families of flaws across services and frameworks.",
          "slug": "web-application-vulnerability-concepts",
          "source": "db"
        },
        "dimension_id": 69,
        "input_skill": "WAF",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 376,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Networking and Connectivity",
          "id": 153,
          "rationale": "Network primitives and connectivity patterns used to expose services and connect environments. DevOps engineers need this to troubleshoot deployment reachability, ingress, DNS, and environment-to-environment communication.",
          "slug": "cloud-networking-and-connectivity",
          "source": "db"
        },
        "dimension_id": 153,
        "input_skill": "VPC",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 865,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Networking and Connectivity",
          "id": 153,
          "rationale": "Network primitives and connectivity patterns used to expose services and connect environments. DevOps engineers need this to troubleshoot deployment reachability, ingress, DNS, and environment-to-environment communication.",
          "slug": "cloud-networking-and-connectivity",
          "source": "db"
        },
        "dimension_id": 153,
        "input_skill": "Subnets",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 866,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Networking and Connectivity",
          "id": 153,
          "rationale": "Network primitives and connectivity patterns used to expose services and connect environments. DevOps engineers need this to troubleshoot deployment reachability, ingress, DNS, and environment-to-environment communication.",
          "slug": "cloud-networking-and-connectivity",
          "source": "db"
        },
        "dimension_id": 153,
        "input_skill": "Transit Gateway",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 739,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Networking and Edge Connectivity",
          "id": 136,
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