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Pipeline run

3a17d566-35b9-4c5d-af8b-708507ae4ad8

Pipeline LLM cost (USD)
API 1: $0.0136 API 2: $0.0008 API 3: $0.0000 Total: $0.0144

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Cloud Infrastructure / DevOps
Design, automate, and operate GCP infrastructure: build CI/CD and IaC for secure, highly available deployments, manage Kubernetes/containerized workloads, and support migration/modernization with networking, IAM, and backup/recovery basics.
"Responsible for Automating the Google Cloud Infrastructure and Platform Deployment with Infrastructure as a Code."
Tech stack maturity
Modern Cloud Native
The skill set centers on GCP, Kubernetes, Terraform, CI/CD, IAM, workload identity, and microservices, which are characteristic of modern cloud-native engineering.
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 (45)
Google Cloud Platform Compute Engine App Engine Cloud Functions Google Kubernetes Engine Cloud Run Cloud Storage Cloud Build VPC VPN VPC Peering Cloud Interconnect IAM Service Accounts Workload Identity Container Orchestration Google Container Registry Load Balancing Auto Scaling Terraform Ansible Docker Kubernetes Linux Bash +20
Skill cluster (6 dimension groups, role-scoped)
Cloud Provider Platforms
Google Cloud Platform
Container Orchestration Platforms
Kubernetes
Containerization and Image Builds
Docker
Infrastructure as Code
Terraform
Python Programming
Python
Cross-cutting / unaligned
Compute Engine App Engine Cloud Functions Google Kubernetes Engine Cloud Run Cloud Storage Cloud Build VPC VPN VPC Peering Cloud Interconnect IAM Service Accounts Workload Identity Container Orchestration Google Container Registry Load Balancing Auto Scaling Ansible Linux Bash Jenkins Microservices CI/CD Infrastructure as Code Configuration Management Packer Salt Chef Puppet Unix GitLab Bamboo CircleCI Migration Center Database Migration Service Cloud Foundation Toolkit Groovy Backup and Recovery Public Cloud
Show KRA description ↓
• Responsible for fault-tolerance, high-availability, scalability, and security on Google Cloud 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 Google Cloud 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 3-5 years of overall experience and 1 years of production experience on any public cloud. • Should have experience in GCP Services - Compute(CE, AE, CF, GKE, CR, pub/Sub), Storage, Data tools, Cloud Build • Should have experience in GCP Networking fundamentals (VPC, VPN, Peering, Interconnect) • Should have experience in GCP Security fundamentals (IAM, Service Accounts, Workload Iden- tity) • Should have experience in Container Orchestration • Should have experience in Container Registry - GCR • Experience in setting up of Load Balancer, Auto Scaling, databases, firewall rules etc. • Working knowledge of Backup and Recovery methodology and imple- mentations on GCP. • Experience with Infrastructure as Code Tooling like Terraform • Experience with at least one Configuration management tool like (An- sible, Packer, Salt, Chef, Puppet, etc.) • Experience with Containerization like Dockers and Kubernetes. • Experience with windows or Linux/Unix administration and Unix shell scripting (bash)) • Experience with at least one Continuous Integration and Continuous Deployment Pipelines and tooling (GitLab, Jenkins, Bamboo, Circle CI etc) • Experience with migrating/modernizing various workloads into GCP • Has understanding of automated infrastructure discovery using the GCP native tools • Experience with leveraging GCP migration toolset such as Migration Center, Database Migration Service, Cloud Foundation Toolkit, etc. • Knowledge of modernizing the application hosted on VM/servers to container-based deployment architecture • Optimize Total Cost of Ownership by leveraging the right services in the GCP landscape • Coding with modern languages like Python, Groovy • Application development experience • GCP • Linux • Networking • CI/CD • Jenkins • Docker • Kubernetes • Terraform/Ansible • Python/shell

Signals

Skill devops-engineer
0.26
Alias devops-engineer
1.00
KRA devops-engineer
0.65

Post-classification

Centroidupdated · n=2
Alias collision log
New-role queue
New skills captured25
New KRA capturedyes

Captured for admin review

Compute Engine primary GCP Cloud Engineer pending
App Engine primary GCP Cloud Engineer pending
Cloud Functions primary GCP Cloud Engineer pending
Google Kubernetes Engine primary GCP Cloud Engineer pending
Cloud Run primary GCP Cloud Engineer pending
Cloud Storage primary GCP Cloud Engineer pending
Cloud Build primary GCP Cloud Engineer pending
VPC Peering primary GCP Cloud Engineer pending
Cloud Interconnect primary GCP Cloud Engineer pending
Container Orchestration primary GCP Cloud Engineer pending
Google Container Registry primary GCP Cloud Engineer pending
Auto Scaling primary GCP Cloud Engineer pending
Packer GCP Cloud Engineer pending
Salt GCP Cloud Engineer pending
Linux primary GCP Cloud Engineer pending
Unix GCP Cloud Engineer pending
Bamboo GCP Cloud Engineer pending
Migration Center GCP Cloud Engineer pending
Database Migration Service GCP Cloud Engineer pending
Cloud Foundation Toolkit GCP Cloud Engineer pending
Groovy GCP Cloud Engineer pending
Infrastructure as Code primary GCP Cloud Engineer pending
Configuration Management primary GCP Cloud Engineer pending
Backup and Recovery GCP Cloud Engineer pending
Public Cloud GCP Cloud Engineer pending
R&R fragment (sim 0.00) GCP Cloud Engineer pending

• Responsible for fault-tolerance, high-availability, scalability, and security on Google Cloud Infrastructure and Platform, • Responsible for implementation of CI/CD pipelines with automated build an…

Status: completed Created: 2026-05-27T17:40:18.111245Z Updated: 2026-06-07T13:26:11.384196Z API 3 duration: 16765 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

GCP Cloud Engineer

GCP Cloud Developer

sub-role · 0.75 domain · Cloud Engineering CASE DOMAIN

slug: gcp-cloud-engineer · id: 36 · source: db · sub-role slug: gcp-cloud-developer

Domain=Cloud Engineering → sub-role gcp-cloud-developer; The JD is explicitly centered on Google Cloud Platform operations, networking, security, deployment automation, and migration/modernization work.

Matched skills

Google Cloud InfrastructureCI/CD pipelinesInfrastructure as CodeConfiguration Management ToolsMicroservicesGCP ServicesCloud BuildGCP Networking fundamentalsIAMService AccountsWorkload IdentityContainer OrchestrationGCRTerraformAnsible

Matched dimensions

GCP infrastructure engineeringCloud deployment automationContainer orchestrationCloud networkingCloud security fundamentalsApplication modernizationCloud migration engineeringSystem reliability and scalability

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 Google Cloud Infrastructure and Platform DeploymentAutomating System Configurations using Configuration Management ToolsGood Understanding & implementation of Microservices Concepts and Best PracticesCarrying out POCs to make sure design/technologies meet requirementsExperience with migrating/modernizing various workloads into GCPExperience with leveraging GCP migration toolset

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
3
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 Google Cloud 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 Google Cloud 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 3-5 years of overall experience and 1 years of production experience on any public cloud.
• Should have experience in GCP Services - Compute(CE, AE, CF, GKE, CR, pub/Sub), Storage, Data tools, Cloud Build
• Should have experience in GCP Networking fundamentals (VPC, VPN, Peering, Interconnect)
• Should have experience in GCP Security fundamentals (IAM, Service Accounts, Workload Iden- tity)
• Should have experience in Container Orchestration
• Should have experience in Container Registry - GCR
• Experience in setting up of Load Balancer, Auto Scaling, databases, firewall rules etc.
• Working knowledge of Backup and Recovery methodology and imple- mentations on GCP.
• Experience with Infrastructure as Code Tooling like Terraform
• Experience with at least one Configuration management tool like (An- sible, Packer, Salt, Chef, Puppet, etc.)
• Experience with Containerization like Dockers and Kubernetes.
• Experience with windows or Linux/Unix administration and Unix shell scripting (bash))
• Experience with at least one Continuous Integration and Continuous Deployment Pipelines and tooling (GitLab, Jenkins, Bamboo, Circle CI etc)
• Experience with migrating/modernizing various workloads into GCP
• Has understanding of automated infrastructure discovery using the GCP native tools
• Experience with leveraging GCP migration toolset such as Migration Center, Database Migration Service, Cloud Foundation Toolkit, etc.
• Knowledge of modernizing the application hosted on VM/servers to container-based deployment architecture
• Optimize Total Cost of Ownership by leveraging the right services in the GCP landscape


Nice to have

• Coding with modern languages like Python, Groovy
• Application development experience


Technologies

• GCP
• Linux
• Networking
• CI/CD
• Jenkins
• Docker
• Kubernetes
• Terraform/Ansible
• Python/shell


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.

Google Cloud Platform Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Google Cloud Platform id=425 · google-cloud-platform

Aliases — catalog

  • Google Cloud Platform (CANONICAL) primary

Context tags (catalog)

Anthos App Engine Artifact Registry BigQuery Cloud Build Cloud Functions Cloud Monitoring Cloud Pub/Sub Cloud Run Cloud SQL Cloud Spanner Cloud Storage Compute Engine Dataflow Dataproc GCP GKE IAM Kubernetes Kubernetes Engine Pub/Sub Serverless Stackdriver Terraform VPC

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Cloud Platform
Vendor
Google
License
other_open
Year introduced
2008
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: GCP appears in many cloud-engineering job descriptions alongside AWS/Azure, and Google continues expanding managed services and certifications, indicating broad hiring demand rather than niche use.

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 & Hosting Providers Catalog dimension db id 414

    Library dimension (catalog)

    Roles linked in library: PHP Backend Developer

  • 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 & Hosting Providers
cloud-hosting-providers
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)
Compute Engine 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
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
App Engine 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
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Cloud Functions 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
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Google Kubernetes Engine 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
Container Orchestration
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Cloud Run 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
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Cloud Storage Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Google Cloud Storage id=171 · google-cloud-storage

Aliases — catalog

  • Google Cloud Storage (CANONICAL) primary

Context tags (catalog)

CMEK CORS Cloud Storage FUSE Cloud Storage buckets GCS IAM IAM permissions Uniform bucket-level access bucket bucket policy event notifications gsutil multipart upload object lifecycle resumable uploads retention policy service account signed URL signed URLs storage class storage classes uniform bucket-level access versioning

Stored enrichment (catalog DB)

Category
Service
Sub-category
Object Storage Service
Vendor
Google
License
proprietary
Year introduced
2010
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Broadly used object storage on GCP; appears frequently in cloud/data engineering JDs and is a standard managed service alongside S3/Azure Blob.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
120
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Storage and Data Services Catalog dimension db id 144

    Library dimension (catalog)

    Roles linked in library: Cloud Architect

  • Cloud Storage and File Formats Catalog dimension db id 35

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Storage and Data Services
cloud-storage-and-data-services
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Cloud Storage and File Formats
cloud-storage-and-file-formats
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Cloud Build 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
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
VPC Primary 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 skipped (dimension not under chosen role)
VPN Primary 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 Peering 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
Cloud Platforms
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Cloud Interconnect 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
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
IAM Primary 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)
Service Accounts Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: service accounts id=875 · service-accounts

Aliases — catalog

  • service accounts (CANONICAL) primary

Context tags (catalog)

API keys IAM JWT OAuth authentication authorization cloud identity identity federation permissions role-based access scopes secure access service principal single sign-on token management

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Identity Concept
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common cloud/IAM concept in AWS, GCP, and Kubernetes; appears routinely in job descriptions for platform and DevOps roles as a standard non-human identity pattern.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
598
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Secrets and Identity Automation Catalog dimension db id 154

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Secrets and Identity Automation
secrets-and-identity-automation
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Workload Identity Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: workload identity id=747 · workload-identity

Aliases — catalog

  • workload identity (CANONICAL) primary

Context tags (catalog)

AWS IAM Roles Anywhere AWS IRSA Azure Managed Identity GKE IAM JWT Kubernetes OIDC RBAC SAML STS federation identity federation service account token exchange

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Workload Identity Concept
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common in cloud JDs and docs: AWS IAM Roles for Service Accounts, GKE Workload Identity, and Azure Workload Identity are standard patterns for pod/service auth without static keys.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
538
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Identity and Access Architecture Catalog dimension db id 137

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, Cloud Security Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Identity and Access Architecture
identity-and-access-architecture
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Container Orchestration 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
Container Orchestration
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Google Container Registry 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
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Load Balancing Primary 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
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)
Auto Scaling Primary 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
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 skipped (dimension not under chosen role)
Infrastructure as Code for ML
infrastructure-as-code-for-ml
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Ansible Primary 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 skipped (dimension not under chosen role)
Packer 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
Infrastructure Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Salt 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
Configuration Management
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
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 skipped (dimension not under chosen role)
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 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 skipped (dimension not under chosen role)
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 skipped (dimension not under chosen role)
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
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
Operating Systems
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Unix 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
Operating Systems
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Bash Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Bash id=103 · bash

Aliases — catalog

  • Bash (VERSION)
  • Bash 3.x (VERSION)
  • Bash 4.x (VERSION)
  • Bash 5.x (VERSION)
  • GNU Bash (VERSION)
  • bash (VERSION)
  • bash 3 (VERSION)
  • bash 3.x (VERSION)
  • bash 4 (VERSION)
  • bash 4.x (VERSION)
  • bash 5 (VERSION)
  • bash 5.x (VERSION)

Context tags (catalog)

Linux POSIX Unix alias awk chmod cron environment variables grep here-doc pipes sed shebang shell scripting ssh stdin stdout xargs

Stored enrichment (catalog DB)

Category
Language
Sub-category
Shell Language
Vendor
GNU Project
License
gpl_v3
Year introduced
1989
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
5.x

Maturity reasoning: Bash appears in many DevOps, SRE, and Linux admin job descriptions and remains the default shell on most Unix-like systems, with no vendor sunset or clear replacement in mainstream hiring.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
238
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 Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data 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 Data Work
programming-languages-for-data-work
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 skipped (dimension not under chosen role)
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Jenkins Primary 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 skipped (dimension not under chosen role)
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Bamboo 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
DevOps Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
CircleCI Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: CircleCI id=826 · circleci

Aliases — catalog

  • CircleCI (CANONICAL) primary

Context tags (catalog)

API integration Docker GitHub integration Kubernetes YAML configuration artifact management automated testing build automation cloud infrastructure continuous integration deployment pipelines performance monitoring test orchestration version control webhooks

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Ci Cd Platform
Vendor
CircleCI, Inc.
License
other_open
Year introduced
2011
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: CircleCI appears frequently in DevOps/CI-CD job descriptions and remains a mainstream hosted CI platform alongside GitHub Actions and GitLab CI, indicating broad hiring-market familiarity.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
632
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

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 skipped (dimension not under chosen role)
Migration Center 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
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Database Migration Service 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
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Cloud Foundation Toolkit 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
Cloud Platforms
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)
Groovy 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
Programming Languages
Sub-category
general
Skill nature
LANGUAGE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Microservices Primary 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)
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 skipped (dimension not under chosen role)
CI/CD for Machine Learning
ci-cd-for-machine-learning
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
Practice
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Configuration Management 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
Practice
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Backup and Recovery 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
Practice
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Public Cloud 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
Cloud Platforms
Sub-category
general
Skill nature
CONCEPT
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
Google Cloud Platform in_db
Cloud & Hosting Providers
cloud-hosting-providers
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Google Cloud Platform in_db
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Google Cloud Platform in_db
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Google Cloud Platform in_db
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Storage new
Cloud Storage and Data Services
cloud-storage-and-data-services
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Cloud Storage new
Cloud Storage and File Formats
cloud-storage-and-file-formats
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
VPC in_db
Cloud Networking and Connectivity
cloud-networking-and-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)
IAM in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Service Accounts in_db
Secrets and Identity Automation
secrets-and-identity-automation
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Workload Identity in_db
Identity and Access Architecture
identity-and-access-architecture
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Load Balancing in_db
Capacity and Staffing Planning
capacity-and-staffing-planning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Load Balancing in_db
Deployment and Release Patterns
deployment-and-release-patterns
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
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 skipped (dimension not under chosen role)
Terraform in_db
Infrastructure as Code for ML
infrastructure-as-code-for-ml
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Ansible in_db
Configuration Management
configuration-management
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Chef in_db
Configuration Management
configuration-management
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Puppet in_db
Configuration Management
configuration-management
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 skipped (dimension not under chosen role)
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 skipped (dimension not under chosen role)
Kubernetes in_db
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Bash in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Bash in_db
Programming Languages for Data Work
programming-languages-for-data-work
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 skipped (dimension not under chosen role)
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 skipped (dimension not under chosen role)
Jenkins in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CircleCI in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
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)
Microservices in_db
Microservices and Distributed Systems
microservices-and-distributed-systems
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 skipped (dimension not under chosen role)
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)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Compute Engine | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed App Engine | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Cloud Functions | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Google Kubernetes Engine | type=Container Orchestration subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Cloud Run | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Cloud Build | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed VPC Peering | type=Cloud Platforms subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Cloud Interconnect | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Container Orchestration | type=Container Orchestration subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Google Container Registry | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Packer | type=Infrastructure Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Salt | type=Configuration Management subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Linux | type=Operating Systems subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Unix | type=Operating Systems subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Bamboo | type=DevOps Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Migration Center | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Database Migration Service | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Cloud Foundation Toolkit | type=Cloud Platforms subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Groovy | type=Programming Languages subtype=general nature=LANGUAGE lifespan=MULTI_YEAR
canonical_skill_proposed Infrastructure as Code | type=Practice subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Configuration Management | type=Practice subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Backup and Recovery | type=Practice subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Public Cloud | type=Cloud Platforms subtype=general nature=CONCEPT lifespan=MULTI_YEAR
dimension_skill_link_proposed Cloud Storage ↔ Cloud Storage and Data Services
dimension_skill_link_proposed Cloud Storage ↔ Cloud Storage and File Formats
dimension_skill_link_proposed Auto Scaling ↔ Container Orchestration Platforms
nano JD Parser — gpt-4.1-nano click to toggle
RoleGoogle Cloud Engineer
CompanyEPAM Systems, Inc.
ExperienceMinimum 3-5 years of overall experience and 1 years of production experience on any public cloud.
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": "top 20 Fastest-Growing organization."
    },
    "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.\n\nEPAM\u2019s global multi-disciplinary teams serve 57,450+ employees and customers in more than 50 countries across six continents.\n\nAs 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\u2019s 100 Fastest-Growing Companies list for the last three consecutive years.\n\nEPAM is also listed among Ad Age\u2019s top 25 World\u2019s Largest Agency Companies and in 2020, Consulting Magazine named EPAM Continuum a top 20 Fastest-Growing organization.",
    "word_count": 211
  },
  "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": 5,
    "min": 3,
    "raw": "Minimum 3-5 years of overall experience and 1 years of production experience on any public cloud."
  },
  "job_locations": [],
  "role": "Google Cloud Engineer",
  "role_aliases": [
    "Cloud Engineer",
    "GCP Engineer",
    "Cloud 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 Google Cloud 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 Google Cloud 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": 16,
      "heading": "Requirements",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Minimum 3-5 years of overall",
        "last_5_words": "in the GCP landscape"
      },
      "text": "\u2022 Minimum 3-5 years of overall experience and 1 years of production experience on any public cloud.\n\u2022 Should have experience in GCP Services - Compute(CE, AE, CF, GKE, CR, pub/Sub), Storage, Data tools, Cloud Build\n\u2022 Should have experience in GCP Networking fundamentals (VPC, VPN, Peering, Interconnect)\n\u2022 Should have experience in GCP Security fundamentals (IAM, Service Accounts, Workload Iden- tity)\n\u2022 Should have experience in Container Orchestration\n\u2022 Should have experience in Container Registry - GCR\n\u2022 Experience in setting up of Load Balancer, Auto Scaling, databases, firewall rules etc.\n\u2022 Working knowledge of Backup and Recovery methodology and imple- mentations on GCP.\n\u2022 Experience with Infrastructure as Code Tooling like Terraform\n\u2022 Experience with at least one Configuration management tool like (An- sible, Packer, Salt, Chef, Puppet, etc.)\n\u2022 Experience with Containerization like Dockers and Kubernetes.\n\u2022 Experience with windows or Linux/Unix administration and Unix shell scripting (bash))\n\u2022 Experience with at least one Continuous Integration and Continuous Deployment Pipelines and tooling (GitLab, Jenkins, Bamboo, Circle CI etc)\n\u2022 Experience with migrating/modernizing various workloads into GCP\n\u2022 Has understanding of automated infrastructure discovery using the GCP native tools\n\u2022 Experience with leveraging GCP migration toolset such as Migration Center, Database Migration Service, Cloud Foundation Toolkit, etc.\n\u2022 Knowledge of modernizing the application hosted on VM/servers to container-based deployment architecture\n\u2022 Optimize Total Cost of Ownership by leveraging the right services in the GCP landscape",
      "word_count": 284
    },
    {
      "bullet_count": 2,
      "heading": "Nice to have",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Coding with modern languages like",
        "last_5_words": "development experience"
      },
      "text": "\u2022 Coding with modern languages like Python, Groovy\n\u2022 Application development experience",
      "word_count": 16
    },
    {
      "bullet_count": 9,
      "heading": "Technologies",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 GCP\n\u2022 Linux\n\u2022 Networking\n\u2022 CI/CD",
        "last_5_words": "Terraform/Ansible\n\u2022 Python/shell"
      },
      "text": "\u2022 GCP\n\u2022 Linux\n\u2022 Networking\n\u2022 CI/CD\n\u2022 Jenkins\n\u2022 Docker\n\u2022 Kubernetes\n\u2022 Terraform/Ansible\n\u2022 Python/shell",
      "word_count": 18
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Google Cloud Platform"
    },
    {
      "is_primary": true,
      "skill_name": "Compute Engine"
    },
    {
      "is_primary": true,
      "skill_name": "App Engine"
    },
    {
      "is_primary": true,
      "skill_name": "Cloud Functions"
    },
    {
      "is_primary": true,
      "skill_name": "Google Kubernetes Engine"
    },
    {
      "is_primary": true,
      "skill_name": "Cloud Run"
    },
    {
      "is_primary": true,
      "skill_name": "Cloud Storage"
    },
    {
      "is_primary": true,
      "skill_name": "Cloud Build"
    },
    {
      "is_primary": true,
      "skill_name": "VPC"
    },
    {
      "is_primary": true,
      "skill_name": "VPN"
    },
    {
      "is_primary": true,
      "skill_name": "VPC Peering"
    },
    {
      "is_primary": true,
      "skill_name": "Cloud Interconnect"
    },
    {
      "is_primary": true,
      "skill_name": "IAM"
    },
    {
      "is_primary": true,
      "skill_name": "Service Accounts"
    },
    {
      "is_primary": true,
      "skill_name": "Workload Identity"
    },
    {
      "is_primary": true,
      "skill_name": "Container Orchestration"
    },
    {
      "is_primary": true,
      "skill_name": "Google Container Registry"
    },
    {
      "is_primary": true,
      "skill_name": "Load Balancing"
    },
    {
      "is_primary": true,
      "skill_name": "Auto Scaling"
    },
    {
      "is_primary": true,
      "skill_name": "Terraform"
    },
    {
      "is_primary": true,
      "skill_name": "Ansible"
    },
    {
      "is_primary": false,
      "skill_name": "Packer"
    },
    {
      "is_primary": false,
      "skill_name": "Salt"
    },
    {
      "is_primary": false,
      "skill_name": "Chef"
    },
    {
      "is_primary": false,
      "skill_name": "Puppet"
    },
    {
      "is_primary": true,
      "skill_name": "Docker"
    },
    {
      "is_primary": true,
      "skill_name": "Kubernetes"
    },
    {
      "is_primary": true,
      "skill_name": "Linux"
    },
    {
      "is_primary": false,
      "skill_name": "Unix"
    },
    {
      "is_primary": true,
      "skill_name": "Bash"
    },
    {
      "is_primary": false,
      "skill_name": "GitLab"
    },
    {
      "is_primary": true,
      "skill_name": "Jenkins"
    },
    {
      "is_primary": false,
      "skill_name": "Bamboo"
    },
    {
      "is_primary": false,
      "skill_name": "CircleCI"
    },
    {
      "is_primary": false,
      "skill_name": "Migration Center"
    },
    {
      "is_primary": false,
      "skill_name": "Database Migration Service"
    },
    {
      "is_primary": false,
      "skill_name": "Cloud Foundation Toolkit"
    },
    {
      "is_primary": true,
      "skill_name": "Python"
    },
    {
      "is_primary": false,
      "skill_name": "Groovy"
    },
    {
      "is_primary": true,
      "skill_name": "Microservices"
    },
    {
      "is_primary": true,
      "skill_name": "CI/CD"
    },
    {
      "is_primary": true,
      "skill_name": "Infrastructure as Code"
    },
    {
      "is_primary": true,
      "skill_name": "Configuration Management"
    },
    {
      "is_primary": false,
      "skill_name": "Backup and Recovery"
    },
    {
      "is_primary": false,
      "skill_name": "Public Cloud"
    }
  ],
  "jd_role": {
    "display_name": "Google Cloud Engineer",
    "rationale": null,
    "role_aliases": [
      "Cloud Engineer",
      "GCP Engineer",
      "Cloud DevOps Engineer"
    ],
    "role_archetype": "DevOps",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": {
      "source_marker": {
        "first_5_words": "Since 1993, EPAM Systems, Inc.",
        "last_5_words": "top 20 Fastest-Growing organization."
      },
      "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.\n\nEPAM\u2019s global multi-disciplinary teams serve 57,450+ employees and customers in more than 50 countries across six continents.\n\nAs 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\u2019s 100 Fastest-Growing Companies list for the last three consecutive years.\n\nEPAM is also listed among Ad Age\u2019s top 25 World\u2019s Largest Agency Companies and in 2020, Consulting Magazine named EPAM Continuum a top 20 Fastest-Growing organization.",
      "word_count": 211
    },
    "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": 5,
      "min": 3,
      "raw": "Minimum 3-5 years of overall experience and 1 years of production experience on any public cloud."
    },
    "job_locations": [],
    "role": "Google Cloud Engineer",
    "role_aliases": [
      "Cloud Engineer",
      "GCP Engineer",
      "Cloud 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 Google Cloud 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 Google Cloud 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": 16,
        "heading": "Requirements",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Minimum 3-5 years of overall",
          "last_5_words": "in the GCP landscape"
        },
        "text": "\u2022 Minimum 3-5 years of overall experience and 1 years of production experience on any public cloud.\n\u2022 Should have experience in GCP Services - Compute(CE, AE, CF, GKE, CR, pub/Sub), Storage, Data tools, Cloud Build\n\u2022 Should have experience in GCP Networking fundamentals (VPC, VPN, Peering, Interconnect)\n\u2022 Should have experience in GCP Security fundamentals (IAM, Service Accounts, Workload Iden- tity)\n\u2022 Should have experience in Container Orchestration\n\u2022 Should have experience in Container Registry - GCR\n\u2022 Experience in setting up of Load Balancer, Auto Scaling, databases, firewall rules etc.\n\u2022 Working knowledge of Backup and Recovery methodology and imple- mentations on GCP.\n\u2022 Experience with Infrastructure as Code Tooling like Terraform\n\u2022 Experience with at least one Configuration management tool like (An- sible, Packer, Salt, Chef, Puppet, etc.)\n\u2022 Experience with Containerization like Dockers and Kubernetes.\n\u2022 Experience with windows or Linux/Unix administration and Unix shell scripting (bash))\n\u2022 Experience with at least one Continuous Integration and Continuous Deployment Pipelines and tooling (GitLab, Jenkins, Bamboo, Circle CI etc)\n\u2022 Experience with migrating/modernizing various workloads into GCP\n\u2022 Has understanding of automated infrastructure discovery using the GCP native tools\n\u2022 Experience with leveraging GCP migration toolset such as Migration Center, Database Migration Service, Cloud Foundation Toolkit, etc.\n\u2022 Knowledge of modernizing the application hosted on VM/servers to container-based deployment architecture\n\u2022 Optimize Total Cost of Ownership by leveraging the right services in the GCP landscape",
        "word_count": 284
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        "bullet_count": 2,
        "heading": "Nice to have",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Coding with modern languages like",
          "last_5_words": "development experience"
        },
        "text": "\u2022 Coding with modern languages like Python, Groovy\n\u2022 Application development experience",
        "word_count": 16
      },
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        "bullet_count": 9,
        "heading": "Technologies",
        "heading_was_present": true,
        "source_marker": {
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          "last_5_words": "Terraform/Ansible\n\u2022 Python/shell"
        },
        "text": "\u2022 GCP\n\u2022 Linux\n\u2022 Networking\n\u2022 CI/CD\n\u2022 Jenkins\n\u2022 Docker\n\u2022 Kubernetes\n\u2022 Terraform/Ansible\n\u2022 Python/shell",
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  },
  "rejected": false,
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  "run_id": "3a17d566-35b9-4c5d-af8b-708507ae4ad8",
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  "stage4_decision": {
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    "matched_kras": [
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      "Experience with leveraging GCP migration toolset"
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    "matched_skills": [
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      "Infrastructure as Code",
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    "new_role_display_name": null,
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    "queued": false,
    "reasoning": "Domain=Cloud Engineering \u2192 sub-role gcp-cloud-developer; The JD is explicitly centered on Google Cloud Platform operations, networking, security, deployment automation, and migration/modernization work.",
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      "confidence": 0.75,
      "display_name": "GCP Cloud Developer",
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}
API 2 — extract-details
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      "matched_via": "alias"
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    {
      "alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
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      "matched_via": "alias"
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        "is_also_category": false,
        "is_extractable": true,
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      "matched_via": "alias"
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      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
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        "is_also_category": false,
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      "matched_via": "alias"
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            "rationale": "Proficiency in programming and domain-specific languages used to automate and script cloud security controls.",
            "slug": "cloud-security-scripting-dsl-languages",
            "source": "db"
          },
          "input_skill": "Python",
          "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": "Programming Languages",
            "id": 1,
            "rationale": "Primary implementation languages used to build client and server feature code. Full stack engineers need enough fluency to move across layers and implement product behavior end to end.",
            "slug": "programming-languages",
            "source": "db"
          },
          "input_skill": "Python",
          "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": "Fullstack Developer",
              "id": 15,
              "rationale": null,
              "role_archetype": null,
              "slug": "full-stack-engineer",
              "source": "db"
            },
            {
              "display_name": "Fullstack Developer",
              "id": 435,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "fullstack-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages \u0026 DSLs",
            "id": 475,
            "rationale": "Oversee and guide the selection and effective use of programming and domain\u2010specific languages in software projects.",
            "slug": "programming-languages-dsls",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Engineering Manager",
              "id": 121,
              "rationale": null,
              "role_archetype": null,
              "slug": "engineering-manager",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages and Scripting",
            "id": 59,
            "rationale": "Languages used to write security automation, analysis scripts, detection logic, and remediation helpers. This is the primary implementation surface for a cybersecurity engineer across tooling and response workflows.",
            "slug": "programming-languages-and-scripting",
            "source": "db"
          },
          "input_skill": "Python",
          "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": "Programming Languages for Data Work",
            "id": 21,
            "rationale": "Languages used to implement data pipelines, transformations, and operational glue. This is the primary coding surface for building ingestion, enrichment, and automation logic in data engineering.",
            "slug": "programming-languages-for-data-work",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages for ML Systems",
            "id": 39,
            "rationale": "Languages used to build training code, inference services, evaluation jobs, and ML glue code. This is the primary implementation surface for ML engineers across experimentation and productionization.",
            "slug": "programming-languages-for-ml-systems",
            "source": "db"
          },
          "input_skill": "Python",
          "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": "Programming Languages for XR",
            "id": 97,
            "rationale": "Primary implementation languages used to build immersive client features, interaction logic, and device-specific runtime behavior. This is the core coding surface for AR/VR experiences.",
            "slug": "programming-languages-for-xr",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "AR/VR Engineer",
              "id": 8,
              "rationale": null,
              "role_archetype": null,
              "slug": "ar-vr-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Python Programming",
            "id": 290,
            "rationale": "Core Python language skills used to implement backend business logic, request handlers, integrations, and service internals. This is the primary coding surface for the role.",
            "slug": "python-programming",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Python",
      "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": "Groovy",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Programming Languages",
          "skill_nature": "LANGUAGE",
          "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": "groovy",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "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": [
        {
          "alias_text": "CI/CD",
          "alias_type": "CANONICAL",
          "id": 1826,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "CI/CD",
        "id": 1190,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "ci-cd",
        "sub_category_id": 900,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "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"
          },
          "input_skill": "CI/CD",
          "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": "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"
          },
          "input_skill": "CI/CD",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "CI/CD",
      "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": "Practice",
          "skill_nature": "PRACTICE",
          "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": "Practice",
          "skill_nature": "PRACTICE",
          "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": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Backup and Recovery",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Practice",
          "skill_nature": "PRACTICE",
          "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": "backup-and-recovery",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Public Cloud",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Cloud Platforms",
          "skill_nature": "CONCEPT",
          "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": "public-cloud",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Compute Engine",
    "App Engine",
    "Cloud Functions",
    "Google Kubernetes Engine",
    "Cloud Run",
    "Cloud Build",
    "VPC Peering",
    "Cloud Interconnect",
    "Container Orchestration",
    "Google Container Registry",
    "Packer",
    "Salt",
    "Linux",
    "Unix",
    "Bamboo",
    "Migration Center",
    "Database Migration Service",
    "Cloud Foundation Toolkit",
    "Groovy",
    "Infrastructure as Code",
    "Configuration Management",
    "Backup and Recovery",
    "Public Cloud"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "GCP Cloud Engineer",
    "id": 36,
    "rationale": "Domain=Cloud Engineering \u2192 sub-role gcp-cloud-developer; The JD is explicitly centered on Google Cloud Platform operations, networking, security, deployment automation, and migration/modernization work.",
    "role_archetype": null,
    "slug": "gcp-cloud-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Google Cloud Platform",
      "tag": "in_db"
    },
    {
      "skill": "Compute Engine",
      "tag": "new"
    },
    {
      "skill": "App Engine",
      "tag": "new"
    },
    {
      "skill": "Cloud Functions",
      "tag": "new"
    },
    {
      "skill": "Google Kubernetes Engine",
      "tag": "new"
    },
    {
      "skill": "Cloud Run",
      "tag": "new"
    },
    {
      "skill": "Cloud Storage",
      "tag": "in_db"
    },
    {
      "skill": "Cloud Build",
      "tag": "new"
    },
    {
      "skill": "VPC",
      "tag": "in_db"
    },
    {
      "skill": "VPN",
      "tag": "in_db"
    },
    {
      "skill": "VPC Peering",
      "tag": "new"
    },
    {
      "skill": "Cloud Interconnect",
      "tag": "new"
    },
    {
      "skill": "IAM",
      "tag": "in_db"
    },
    {
      "skill": "Service Accounts",
      "tag": "in_db"
    },
    {
      "skill": "Workload Identity",
      "tag": "in_db"
    },
    {
      "skill": "Container Orchestration",
      "tag": "new"
    },
    {
      "skill": "Google Container Registry",
      "tag": "new"
    },
    {
      "skill": "Load Balancing",
      "tag": "in_db"
    },
    {
      "skill": "Auto Scaling",
      "tag": "in_db"
    },
    {
      "skill": "Terraform",
      "tag": "in_db"
    },
    {
      "skill": "Ansible",
      "tag": "in_db"
    },
    {
      "skill": "Packer",
      "tag": "new"
    },
    {
      "skill": "Salt",
      "tag": "new"
    },
    {
      "skill": "Chef",
      "tag": "in_db"
    },
    {
      "skill": "Puppet",
      "tag": "in_db"
    },
    {
      "skill": "Docker",
      "tag": "in_db"
    },
    {
      "skill": "Kubernetes",
      "tag": "in_db"
    },
    {
      "skill": "Linux",
      "tag": "new"
    },
    {
      "skill": "Unix",
      "tag": "new"
    },
    {
      "skill": "Bash",
      "tag": "in_db"
    },
    {
      "skill": "GitLab",
      "tag": "in_db"
    },
    {
      "skill": "Jenkins",
      "tag": "in_db"
    },
    {
      "skill": "Bamboo",
      "tag": "new"
    },
    {
      "skill": "CircleCI",
      "tag": "in_db"
    },
    {
      "skill": "Migration Center",
      "tag": "new"
    },
    {
      "skill": "Database Migration Service",
      "tag": "new"
    },
    {
      "skill": "Cloud Foundation Toolkit",
      "tag": "new"
    },
    {
      "skill": "Python",
      "tag": "in_db"
    },
    {
      "skill": "Groovy",
      "tag": "new"
    },
    {
      "skill": "Microservices",
      "tag": "in_db"
    },
    {
      "skill": "CI/CD",
      "tag": "in_db"
    },
    {
      "skill": "Infrastructure as Code",
      "tag": "new"
    },
    {
      "skill": "Configuration Management",
      "tag": "new"
    },
    {
      "skill": "Backup and Recovery",
      "tag": "new"
    },
    {
      "skill": "Public Cloud",
      "tag": "new"
    }
  ],
  "llm_cost_api1_usd": null,
  "llm_cost_api2_usd": null,
  "llm_cost_api3_usd": null,
  "llm_cost_total_usd": null,
  "persistence": {
    "items": [
      {
        "chosen_role_id": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud \u0026 Hosting Providers",
          "id": 414,
          "rationale": "Knowledge of major cloud and hosting vendor platforms for deploying and managing PHP applications.",
          "slug": "cloud-hosting-providers",
          "source": "db"
        },
        "dimension_id": 414,
        "input_skill": "Google Cloud Platform",
        "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": "PHP Backend Developer",
            "id": 86,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "php-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 425,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Provider Platforms",
          "id": 131,
          "rationale": "Major cloud platforms and their core service ecosystems used to design target-state architectures, choose deployment boundaries, and evaluate managed capabilities. This is the primary substrate for cloud architecture decisions.",
          "slug": "cloud-provider-platforms",
          "source": "db"
        },
        "dimension_id": 131,
        "input_skill": "Google Cloud Platform",
        "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 Architect",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-architect",
            "source": "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": 425,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Security Posture Tools",
          "id": 64,
          "rationale": "Cloud-native security platforms used to assess misconfiguration, workload exposure, and cloud control coverage. This dimension includes the major CNAPP/CSPM/CWPP vendors and cloud security services the role reviews and tunes.",
          "slug": "cloud-security-posture-tools",
          "source": "db"
        },
        "dimension_id": 64,
        "input_skill": "Google Cloud Platform",
        "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"
          },
          {
            "display_name": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 425,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Vendor Product Families",
          "id": 477,
          "rationale": "Coordinate usage, licensing, and architecture decisions for major vendor software and cloud product families.",
          "slug": "vendor-product-families",
          "source": "db"
        },
        "dimension_id": 477,
        "input_skill": "Google Cloud Platform",
        "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": "Engineering Manager",
            "id": 121,
            "rationale": null,
            "role_archetype": null,
            "slug": "engineering-manager",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 425,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Storage and Data Services",
          "id": 144,
          "rationale": "Cloud-native storage and managed data services used to place workloads, choose durability tiers, and define platform boundaries. This is a coherent cluster because architects evaluate storage fit, access patterns, and managed service tradeoffs.",
          "slug": "cloud-storage-and-data-services",
          "source": "db"
        },
        "dimension_id": 144,
        "input_skill": "Cloud Storage",
        "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": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Storage and File Formats",
          "id": 35,
          "rationale": "Object storage and data file formats used as the physical substrate for data movement and lake-style analytics. Data engineers need these to manage landing zones, partitioned datasets, and efficient interchange.",
          "slug": "cloud-storage-and-file-formats",
          "source": "db"
        },
        "dimension_id": 35,
        "input_skill": "Cloud Storage",
        "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": "Data Engineer",
            "id": 2,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 36,
        "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": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "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": true,
        "skill_id": 865,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "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": "VPN",
        "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": 304,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "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"
        },
        "dimension_id": 60,
        "input_skill": "VPN",
        "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": 304,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "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": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Secrets and Identity Automation",
          "id": 154,
          "rationale": "Operational handling of credentials, service identities, and access tokens used by delivery systems and runtime environments. This cluster is coherent because release pipelines and deployment targets depend on secure machine-to-machine access.",
          "slug": "secrets-and-identity-automation",
          "source": "db"
        },
        "dimension_id": 154,
        "input_skill": "Service Accounts",
        "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": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 875,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Identity and Access Architecture",
          "id": 137,
          "rationale": "Cloud identity patterns for authentication, authorization, federation, and privileged access boundaries. This is central to cloud governance because it defines who can administer and consume platform resources.",
          "slug": "identity-and-access-architecture",
          "source": "db"
        },
        "dimension_id": 137,
        "input_skill": "Workload Identity",
        "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 Architect",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-architect",
            "source": "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": 747,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "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": "Load Balancing",
        "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": "Engineering Manager",
            "id": 121,
            "rationale": null,
            "role_archetype": null,
            "slug": "engineering-manager",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1219,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "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": "Load Balancing",
        "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 Architect",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-architect",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1219,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "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": 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"
          },
          {
            "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": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Infrastructure \u0026 Security Automation Frameworks",
          "id": 249,
          "rationale": "Frameworks and libraries for provisioning, configuring, and automating cloud security infrastructure.",
          "slug": "infrastructure-security-automation-frameworks",
          "source": "db"
        },
        "dimension_id": 249,
        "input_skill": "Terraform",
        "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": 286,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Infrastructure as Code",
          "id": 132,
          "rationale": "Declarative provisioning and environment definition tools used to codify cloud infrastructure, repeatable environments, and platform standards. Cloud Architects use these to express reference architectures and guardrails.",
          "slug": "infrastructure-as-code",
          "source": "db"
        },
        "dimension_id": 132,
        "input_skill": "Terraform",
        "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 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": true,
        "skill_id": 286,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Infrastructure as Code for ML",
          "id": 57,
          "rationale": "Tools for provisioning and managing ML infrastructure resources through code.",
          "slug": "infrastructure-as-code-for-ml",
          "source": "db"
        },
        "dimension_id": 57,
        "input_skill": "Terraform",
        "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": 286,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Configuration Management",
          "id": 133,
          "rationale": "Host and fleet configuration tools used to standardize operating system state, bootstrap servers, and enforce baseline settings. This is distinct from IaC because it focuses on in-guest configuration rather than cloud resource provisioning.",
          "slug": "configuration-management",
          "source": "db"
        },
        "dimension_id": 133,
        "input_skill": "Ansible",
        "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 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": true,
        "skill_id": 721,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Configuration Management",
          "id": 133,
          "rationale": "Host and fleet configuration tools used to standardize operating system state, bootstrap servers, and enforce baseline settings. This is distinct from IaC because it focuses on in-guest configuration rather than cloud resource provisioning.",
          "slug": "configuration-management",
          "source": "db"
        },
        "dimension_id": 133,
        "input_skill": "Chef",
        "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 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": true,
        "skill_id": 722,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Configuration Management",
          "id": 133,
          "rationale": "Host and fleet configuration tools used to standardize operating system state, bootstrap servers, and enforce baseline settings. This is distinct from IaC because it focuses on in-guest configuration rather than cloud resource provisioning.",
          "slug": "configuration-management",
          "source": "db"
        },
        "dimension_id": 133,
        "input_skill": "Puppet",
        "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 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": true,
        "skill_id": 723,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Containerization and Image Builds",
          "id": 152,
          "rationale": "Container image creation, tagging, hardening, and registry workflows used to package services for deployment. This is coherent because DevOps often owns the build-to-image path that feeds runtime environments.",
          "slug": "containerization-and-image-builds",
          "source": "db"
        },
        "dimension_id": 152,
        "input_skill": "Docker",
        "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": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 61,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Deployment and Cloud Platforms",
          "id": 418,
          "rationale": "Platform-as-a-Service and container environments for deploying Ruby applications.",
          "slug": "deployment-and-cloud-platforms",
          "source": "db"
        },
        "dimension_id": 418,
        "input_skill": "Docker",
        "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": "Ruby Backend Developer",
            "id": 85,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "ruby-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 61,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 36,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Deployment and Runtime Configuration",
          "id": 13,
          "rationale": "Configuration and release artifacts that control how backend services run in environments. Includes environment variables, manifests, feature flags, and release-safe configuration management.",
          "slug": "deployment-and-runtime-configuration",
          "source": "db"
        },
        "dimension_id": 13,
        "input_skill": "Docker",
        "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": ".NET Backend Developer",
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        "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": 1190,
        "skill_tag": "in_db",
        "skipped_reason": null
      }
    ],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 3
  },
  "planner_output": null,
  "run_id": "3a17d566-35b9-4c5d-af8b-708507ae4ad8"
}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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