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Pipeline run

0a09cba5-4cbd-43d9-8479-80eda2422c19

Pipeline LLM cost (USD)
API 1: $0.0002 API 2: $0.0004 API 3: $0.0045 Total: $0.0052

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
role baseline loaded sources · ai_index: jd · nature_of_work: no_kras · tech_stack_maturity: jd
Nature of work no kras
Vague JD — no KRAs present to derive a specific nature of work.
Tech stack maturity
Mainstream Modern
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 (15)
AWS Azure GCP Docker Grafana Prometheus CloudWatch Jenkins GitHub Actions Kubernetes Terraform Ansible Bash Python Linux
Skill cluster (7 dimension groups, role-scoped)
Cloud Platforms
AWS Azure GCP
Observability and Incident Response
Grafana Prometheus
Container Orchestration Platforms
Kubernetes
Deployment and Runtime Configuration
Docker
Infrastructure as Code
Terraform
Programming Languages
Python
Cross-cutting / unaligned
CloudWatch Jenkins GitHub Actions Ansible Bash Linux
Status: completed Created: 2026-05-12T11:19:57.417623Z Updated: 2026-05-12T11:20:02.786644Z API 3 duration: 3235 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

DevOps Engineer

slug: devops-engineer · id: 1 · source: db

The primary skills include AWS, Azure, GCP, and Docker which align well with the DevOps Engineer role.

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
0
Skipped

Job description

Job Description – Cloud Support Engineer

Experience: 1–3 Years
Location: Gurgaon / Remote
Employment Type: Full-Time

About the Role

We are looking for a Cloud Support Engineer to help maintain and troubleshoot cloud-based infrastructure and applications. You will work closely with DevOps, backend, and support teams to ensure system reliability, uptime, and smooth deployments.

Key Responsibilities
Monitor cloud infrastructure and application performance
Troubleshoot production issues and perform root cause analysis
Manage deployments and support CI/CD pipelines
Work with AWS/Azure/GCP services for infrastructure management
Maintain logs, alerts, and monitoring dashboards
Support database backups, recovery, and scaling operations
Collaborate with development teams to improve system stability
Document incidents, fixes, and operational procedures
Required Skills
Basic understanding of cloud platforms like AWS, Azure, or GCP
Knowledge of Linux system administration
Familiarity with Docker and containerized applications
Experience with monitoring tools such as Grafana, Prometheus, or CloudWatch
Understanding of networking concepts (DNS, Load Balancer, VPN, Firewalls)
Knowledge of CI/CD tools like Jenkins or GitHub Actions
Good debugging and troubleshooting skills
Preferred Qualifications
Exposure to Kubernetes is a plus
Understanding of Infrastructure as Code (Terraform/Ansible)
Basic scripting knowledge in Bash or Python
Certification in AWS/Azure is an advantage
Benefits
Flexible work environment
Learning and certification support
Health insurance coverage
Performance bonuses
Opportunity to work on large-scale cloud systems

Skills from this JD

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

AWS Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: AWS id=163 · aws

Aliases — catalog

  • Compaction (CANONICAL) primary

Context tags (catalog)

Bloom filter LSM tree SSTable checkpointing defragmentation garbage collection leveling log-structured merge policy segment merge storage engine tiered compaction tombstones vacuum write amplification

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Storage Maintenance Concept
Confidence
0.74
Version strategy
NOT_APPLICABLE

Maturity reasoning: Compaction is a standard storage-maintenance concept in widely used systems like LSM databases and Kafka; it appears in many JDs for Cassandra, RocksDB, and Kafka ops roles, indicating broad market demand.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
161
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platform Operations Catalog dimension db id 26

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Cloud Security Platforms Catalog dimension db id 332

    Library dimension (catalog)

    Roles linked in library: Cybersecurity Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platform Operations
cloud-platform-operations
Existing dimension (library) · Role↔dimension saved
Cloud Security Platforms
cloud-security-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Azure id=164 · azure

Aliases — catalog

  • Compute right-sizing (CANONICAL) primary

Context tags (catalog)

CPU VM sizing autoscaling capacity planning cloud cost optimization instance sizing load testing memory performance profiling reserved instances resource utilization rightsizing spot instances utilization workload analysis

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Capacity Planning Methodology
Confidence
0.78
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common cloud/capacity-planning practice; widely referenced in AWS/Azure/GCP cost-optimization docs and frequently appears in FinOps and SRE job descriptions focused on reducing overprovisioning.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
161
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platform Operations Catalog dimension db id 26

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Cloud Security Platforms Catalog dimension db id 332

    Library dimension (catalog)

    Roles linked in library: Cybersecurity Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platform Operations
cloud-platform-operations
Existing dimension (library) · Role↔dimension saved
Cloud Security Platforms
cloud-security-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GCP Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: GCP id=2304 · gcp

Aliases — catalog

  • ASGI (CANONICAL) primary

Context tags (catalog)

ASGI app ASGI server Django Channels FastAPI HTTP/2 Starlette WebSocket application scope asyncio background tasks concurrency event loop lifespan middleware routing

Stored enrichment (catalog DB)

Category
Protocol
Sub-category
Web Application Protocol
Vendor
Django Software Foundation
License
bsd
Year introduced
2016
Confidence
0.95
Version strategy
NOT_APPLICABLE

Maturity reasoning: ASGI appears in many Python web JDs for async frameworks like FastAPI/Starlette, but WSGI remains the broader default in legacy stacks; market signal shows growing adoption rather than universal demand.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
161
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Security Platforms Catalog dimension db id 332

    Library dimension (catalog)

    Roles linked in library: Cybersecurity Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Security Platforms
cloud-security-platforms
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=153 · docker

Aliases — catalog

  • Metabase (CANONICAL) primary

Context tags (catalog)

BigQuery MySQL PostgreSQL Redshift SQL ad hoc analysis cards collections dashboards data visualization embedded analytics filters questions segments self-service BI

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Bi Analytics Tool
Vendor
Metabase, Inc.
License
apache_2
Year introduced
2014
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Metabase appears in many BI/analytics job postings and is growing in GitHub usage, but it is still far less universal than Tableau/Power BI in enterprise JDs.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
170
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Containerization and Image Delivery Catalog dimension db id 24

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Model Serving Deployment and Runtime Packaging Catalog dimension db id 52

    Library dimension (catalog)

    Roles linked in library: MLOps Engineer, Machine Learning Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Containerization and Image Delivery
containerization-and-image-delivery
Existing dimension (library) · Role↔dimension saved
Model Serving Deployment and Runtime Packaging
model-serving-deployment-and-runtime-packaging
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Grafana Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Grafana id=169 · grafana

Aliases — catalog

  • Recovery runbooks (CANONICAL) primary

Context tags (catalog)

DR drills RPO RTO backup restore business continuity disaster recovery escalation path failover incident response on-call operational procedures postmortem rollback runbook automation service restoration

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Operational Runbook Methodology
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common SRE/ops requirement: many job descriptions for DevOps/SRE/Platform roles explicitly ask for incident response and recovery runbooks, and major vendors like AWS/Azure document runbooks as standard operational practice.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
331
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Observability and Alerting Catalog dimension db id 27

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Observability and Diagnostics Catalog dimension db id 151

    Library dimension (catalog)

    Roles linked in library: Backend Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Observability and Alerting
observability-and-alerting
Existing dimension (library) · Role↔dimension saved
Observability and Diagnostics
observability-and-diagnostics
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Prometheus Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Prometheus id=168 · prometheus

Aliases — catalog

  • Replay processing (CANONICAL) primary

Context tags (catalog)

ETL audit trail backfill batch jobs change data capture checkpointing data pipeline dead-letter queue event sourcing exactly-once idempotency offsets reconciliation reprocessing stream processing

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Data Reprocessing Methodology
Confidence
0.77
Version strategy
NOT_APPLICABLE

Maturity reasoning: Replay processing appears in specialized data/streaming and event-sourcing JDs, but far less often than core ETL or batch processing; market demand is concentrated in a narrow set of platforms and teams.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
729
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Observability and Alerting Catalog dimension db id 27

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Observability and Diagnostics Catalog dimension db id 151

    Library dimension (catalog)

    Roles linked in library: Backend Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Observability and Alerting
observability-and-alerting
Existing dimension (library) · Role↔dimension saved
Observability and Diagnostics
observability-and-diagnostics
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CloudWatch Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: CloudWatch id=1779 · cloudwatch

Aliases — from this run (catalog unavailable)

  • CloudWatch (CANONICAL) primary

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
14
Sub-category id
256
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Monitoring, Observability, and Alerting Catalog dimension db id 289

    Library dimension (catalog)

    Roles linked in library: Cloud Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Monitoring, Observability, and Alerting
cloud-monitoring-observability-and-alerting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Jenkins Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Jenkins id=1249 · jenkins

Aliases — catalog

  • BGE (CANONICAL) primary

Context tags (catalog)

API integration contextual understanding data retrieval embedding techniques feature extraction fine-tuning information retrieval knowledge graph machine learning model training natural language processing semantic search similarity scoring transformer models vector embeddings

Stored enrichment (catalog DB)

Category
Library
Sub-category
Embedding Model Library
Vendor
Hugging Face
License
apache_2
Year introduced
2020
Confidence
0.82
Version strategy
NOT_APPLICABLE

Maturity reasoning: BGE is increasingly listed in LLM/RAG job descriptions and widely used in GitHub examples for embeddings, but it is not yet a universal hiring staple like AWS or PostgreSQL.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
166
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Continuous Integration Test Integration Catalog dimension db id 207

    Library dimension (catalog)

    Roles linked in library: Automation Tester

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Continuous Integration Test Integration
continuous-integration-test-integration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitHub Actions Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: GitHub Actions id=1250 · github-actions

Aliases — catalog

  • E5 (CANONICAL) primary

Context tags (catalog)

cosine similarity data augmentation dimensionality reduction embedding space feature extraction fine-tuning model evaluation natural language processing nearest neighbors pre-trained models semantic search similarity scoring transfer learning transformer models vector embeddings

Stored enrichment (catalog DB)

Category
Library
Sub-category
Embedding Model Library
Vendor
OpenAI
License
other_open
Year introduced
2021
Confidence
0.80
Version strategy
NOT_APPLICABLE

Maturity reasoning: E5 is a specific embedding-model library with limited JD volume; market demand is concentrated in AI/ML roles rather than broad software hiring, unlike mainstream libraries.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
14
Sub-category id
1019
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Continuous Integration Test Integration Catalog dimension db id 207

    Library dimension (catalog)

    Roles linked in library: Automation Tester

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Continuous Integration Test Integration
continuous-integration-test-integration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Kubernetes Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Kubernetes id=158 · kubernetes

Aliases — catalog

  • Column-level security (CANONICAL) primary

Context tags (catalog)

ABAC PII access policies attribute-based access control audit logging data governance data masking database permissions dynamic masking fine-grained access control least privilege policy enforcement row-level security sensitive data static masking

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Access Control Concept
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Appears in cloud/data platform JDs and vendor docs for Snowflake, BigQuery, and PostgreSQL RLS/column masking, but is not yet a universal hiring staple like core IAM or RBAC.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
1524
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Orchestration Platforms Catalog dimension db id 25

    Library dimension (catalog)

    Roles linked in library: Cloud Engineer, DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Orchestration Platforms
orchestration-platforms
Existing dimension (library) · Role↔dimension saved
Terraform Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Terraform id=144 · terraform

Aliases — catalog

  • Snapshot loads (CANONICAL) primary

Context tags (catalog)

CDC ELT ETL SCD backfill batch ingestion change data capture data warehouse full refresh historical snapshot idempotent loads incremental load late-arriving data partition overwrite point-in-time

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Data Loading Methodology
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Snapshot loads are a specialized data-loading pattern; JD volume is very low compared with mainstream ETL/ELT tools, and market discussion is mostly in niche data-engineering forums rather than broad hiring pipelines.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
171
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Infrastructure Provisioning Templates Catalog dimension db id 291

    Library dimension (catalog)

    Roles linked in library: Cloud Engineer

  • Infrastructure as Code Catalog dimension db id 22

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Infrastructure as Code and Declarative Provisioning Catalog dimension db id 36

    Library dimension (catalog)

    Roles linked in library: Azure Cloud Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Infrastructure Provisioning Templates
infrastructure-provisioning-templates
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension saved
Infrastructure as Code and Declarative Provisioning
infrastructure-as-code-and-declarative-provisioning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Ansible Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Ansible id=147 · ansible

Aliases — from this run (catalog unavailable)

  • Ansible (CANONICAL) primary

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
1471
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Automation and Scripting for Operations Catalog dimension db id 361

    Library dimension (catalog)

    Roles linked in library: Virtualization Engineer

  • Configuration Management Catalog dimension db id 23

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Network Automation and Scripting Catalog dimension db id 285

    Library dimension (catalog)

    Roles linked in library: Network Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Automation and Scripting for Operations
automation-and-scripting-for-operations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Configuration Management
configuration-management
Existing dimension (library) · Role↔dimension saved
Network Automation and Scripting
network-automation-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Bash Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Bash id=292 · bash

Aliases — catalog

  • Google Cloud TPUs (v2, v3) (CANONICAL) primary
  • Google Cloud TPU v2 (VERSION)
  • Google Cloud TPU v3 (VERSION)
  • Google Cloud TPUs v2 (VERSION)
  • Google Cloud TPUs v3 (VERSION)
  • TPU v2 (VERSION)
  • TPU v3 (VERSION)
  • v2 (VERSION)
  • v3 (VERSION)

Context tags (catalog)

Cloud TPU GKE JAX Kubernetes PyTorch TPU Pod TensorFlow Vertex AI XLA accelerator bfloat16 data parallelism distributed training mixed precision model parallelism

Stored enrichment (catalog DB)

Category
Service
Sub-category
Hardware Accelerator Service
Vendor
Google
License
proprietary
Year introduced
2018
Confidence
0.82
Version strategy
SEPARATE_ENTITY
Version tag
v3

Maturity reasoning: TPU v2/v3 appears in a limited set of ML infra JDs and Google Cloud docs, but most accelerator hiring still centers on NVIDIA GPUs/CUDA; newer TPU generations are the main focus, making v2/v3 a specialized legacy niche.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
146
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Automation Scripting and CLI Catalog dimension db id 48

    Library dimension (catalog)

    Roles linked in library: Azure Cloud Engineer, Cloud Engineer

  • Automation and Scripting for Operations Catalog dimension db id 361

    Library dimension (catalog)

    Roles linked in library: Virtualization Engineer

  • Programming Languages for Data Work Catalog dimension db id 67

    Library dimension (catalog)

    Roles linked in library: Data Engineer

  • Programming Languages for Security Work Catalog dimension db id 328

    Library dimension (catalog)

    Roles linked in library: Cybersecurity Engineer

  • Security Automation and Scripting Catalog dimension db id 258

    Library dimension (catalog)

    Roles linked in library: Cybersecurity Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Automation Scripting and CLI
automation-scripting-and-cli
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Automation and Scripting for Operations
automation-and-scripting-for-operations
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 Security Work
programming-languages-for-security-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Security Automation and Scripting
security-automation-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Python id=393 · python

Aliases — catalog

  • Cobalt Strike (CANONICAL) primary

Context tags (catalog)

Malleable C2 beacon credential dumping kerberos lateral movement payload phishing post-exploitation privilege escalation psexec red team sleep mask smb stager team server

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Adversary Simulation Tool
Vendor
Fortra
License
proprietary
Year introduced
2012
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Appears in a limited set of red-team/pentest JDs and security vendor training, but far below mainstream devops tools; market signal is specialized adversary-simulation usage rather than broad hiring demand.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
54
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Analytical Programming Languages Catalog dimension db id 82

    Library dimension (catalog)

    Roles linked in library: Data Analyst, Data Scientist

  • Automation Scripting and CLI Catalog dimension db id 48

    Library dimension (catalog)

    Roles linked in library: Azure Cloud Engineer, Cloud Engineer

  • Automation and Scripting for Operations Catalog dimension db id 361

    Library dimension (catalog)

    Roles linked in library: Virtualization Engineer

  • Network Automation and Scripting Catalog dimension db id 285

    Library dimension (catalog)

    Roles linked in library: Network Engineer

  • Programming Languages for AI Workflows Catalog dimension db id 261

    Library dimension (catalog)

    Roles linked in library: AI Engineer

  • Programming Languages for Backend Systems Catalog dimension db id 140

    Library dimension (catalog)

    Roles linked in library: Backend Engineer

  • Programming Languages for Data Work Catalog dimension db id 67

    Library dimension (catalog)

    Roles linked in library: Data Engineer

  • Programming Languages for ML Systems Catalog dimension db id 113

    Library dimension (catalog)

    Roles linked in library: Machine Learning Engineer

  • Programming Languages for Security Work Catalog dimension db id 328

    Library dimension (catalog)

    Roles linked in library: Cybersecurity Engineer

  • Programming Languages for Test Automation Catalog dimension db id 193

    Library dimension (catalog)

    Roles linked in library: Automation Tester

  • Security Automation and Scripting Catalog dimension db id 258

    Library dimension (catalog)

    Roles linked in library: Cybersecurity Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Analytical Programming Languages
analytical-programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Automation Scripting and CLI
automation-scripting-and-cli
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Automation and Scripting for Operations
automation-and-scripting-for-operations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Network Automation and Scripting
network-automation-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for AI Workflows
programming-languages-for-ai-workflows
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for Backend Systems
programming-languages-for-backend-systems
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 Security Work
programming-languages-for-security-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for Test Automation
programming-languages-for-test-automation
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Security Automation and Scripting
security-automation-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Linux Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Linux id=2598 · linux

Aliases — from this run (catalog unavailable)

  • Linux (CANONICAL)

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
2119
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Automation Scripting and CLI Catalog dimension db id 48

    Library dimension (catalog)

    Roles linked in library: Azure Cloud Engineer, Cloud Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Automation Scripting and CLI
automation-scripting-and-cli
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

All API 3 persistence rows

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

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
AWS in_db
Cloud Platform Operations
cloud-platform-operations
Existing dimension (library) · Role↔dimension saved
AWS in_db
Cloud Security Platforms
cloud-security-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Cloud Platform Operations
cloud-platform-operations
Existing dimension (library) · Role↔dimension saved
Azure in_db
Cloud Security Platforms
cloud-security-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GCP in_db
Cloud Security Platforms
cloud-security-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Docker in_db
Containerization and Image Delivery
containerization-and-image-delivery
Existing dimension (library) · Role↔dimension saved
Docker in_db
Model Serving Deployment and Runtime Packaging
model-serving-deployment-and-runtime-packaging
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Grafana in_db
Observability and Alerting
observability-and-alerting
Existing dimension (library) · Role↔dimension saved
Grafana in_db
Observability and Diagnostics
observability-and-diagnostics
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Prometheus in_db
Observability and Alerting
observability-and-alerting
Existing dimension (library) · Role↔dimension saved
Prometheus in_db
Observability and Diagnostics
observability-and-diagnostics
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CloudWatch in_db
Cloud Monitoring, Observability, and Alerting
cloud-monitoring-observability-and-alerting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Jenkins in_db
Continuous Integration Test Integration
continuous-integration-test-integration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitHub Actions in_db
Continuous Integration Test Integration
continuous-integration-test-integration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Kubernetes in_db
Orchestration Platforms
orchestration-platforms
Existing dimension (library) · Role↔dimension saved
Terraform in_db
Infrastructure Provisioning Templates
infrastructure-provisioning-templates
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Terraform in_db
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension saved
Terraform in_db
Infrastructure as Code and Declarative Provisioning
infrastructure-as-code-and-declarative-provisioning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Ansible in_db
Automation and Scripting for Operations
automation-and-scripting-for-operations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Ansible in_db
Configuration Management
configuration-management
Existing dimension (library) · Role↔dimension saved
Ansible in_db
Network Automation and Scripting
network-automation-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Bash in_db
Automation Scripting and CLI
automation-scripting-and-cli
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Bash in_db
Automation and Scripting for Operations
automation-and-scripting-for-operations
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)
Bash in_db
Programming Languages for Security Work
programming-languages-for-security-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Bash in_db
Security Automation and Scripting
security-automation-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Analytical Programming Languages
analytical-programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Automation Scripting and CLI
automation-scripting-and-cli
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Automation and Scripting for Operations
automation-and-scripting-for-operations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Network Automation and Scripting
network-automation-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for AI Workflows
programming-languages-for-ai-workflows
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for Backend Systems
programming-languages-for-backend-systems
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 Security Work
programming-languages-for-security-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for Test Automation
programming-languages-for-test-automation
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Security Automation and Scripting
security-automation-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Linux in_db
Automation Scripting and CLI
automation-scripting-and-cli
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
library_enrichment_backfilled CloudWatch 1779
library_enrichment_backfilled Linux 2598
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "AWS"
    },
    {
      "is_primary": true,
      "skill_name": "Azure"
    },
    {
      "is_primary": true,
      "skill_name": "GCP"
    },
    {
      "is_primary": true,
      "skill_name": "Docker"
    },
    {
      "is_primary": false,
      "skill_name": "Grafana"
    },
    {
      "is_primary": false,
      "skill_name": "Prometheus"
    },
    {
      "is_primary": false,
      "skill_name": "CloudWatch"
    },
    {
      "is_primary": false,
      "skill_name": "Jenkins"
    },
    {
      "is_primary": false,
      "skill_name": "GitHub Actions"
    },
    {
      "is_primary": false,
      "skill_name": "Kubernetes"
    },
    {
      "is_primary": false,
      "skill_name": "Terraform"
    },
    {
      "is_primary": false,
      "skill_name": "Ansible"
    },
    {
      "is_primary": false,
      "skill_name": "Bash"
    },
    {
      "is_primary": false,
      "skill_name": "Python"
    },
    {
      "is_primary": false,
      "skill_name": "Linux"
    }
  ],
  "run_id": null
}
API 2 — extract-details
{
  "alias_matches": [
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 348,
      "existing_alias_text": "AWS",
      "input_term": "AWS",
      "matched_canonical": {
        "category_id": 13,
        "display_name": "AWS",
        "id": 163,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "aws",
        "sub_category_id": 161,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 349,
      "existing_alias_text": "Azure",
      "input_term": "Azure",
      "matched_canonical": {
        "category_id": 13,
        "display_name": "Azure",
        "id": 164,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "azure",
        "sub_category_id": 161,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 3043,
      "existing_alias_text": "GCP",
      "input_term": "GCP",
      "matched_canonical": {
        "category_id": 13,
        "display_name": "GCP",
        "id": 2304,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "gcp",
        "sub_category_id": 161,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 299,
      "existing_alias_text": "Docker",
      "input_term": "Docker",
      "matched_canonical": {
        "category_id": 11,
        "display_name": "Docker",
        "id": 153,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "docker",
        "sub_category_id": 170,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 354,
      "existing_alias_text": "Grafana",
      "input_term": "Grafana",
      "matched_canonical": {
        "category_id": 11,
        "display_name": "Grafana",
        "id": 169,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "grafana",
        "sub_category_id": 331,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 353,
      "existing_alias_text": "Prometheus",
      "input_term": "Prometheus",
      "matched_canonical": {
        "category_id": 13,
        "display_name": "Prometheus",
        "id": 168,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "prometheus",
        "sub_category_id": 729,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 2378,
      "existing_alias_text": "CloudWatch",
      "input_term": "CloudWatch",
      "matched_canonical": {
        "category_id": 14,
        "display_name": "CloudWatch",
        "id": 1779,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CLOUD_SERVICE",
        "slug": "cloudwatch",
        "sub_category_id": 256,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 1799,
      "existing_alias_text": "Jenkins",
      "input_term": "Jenkins",
      "matched_canonical": {
        "category_id": 11,
        "display_name": "Jenkins",
        "id": 1249,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "jenkins",
        "sub_category_id": 166,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 1800,
      "existing_alias_text": "GitHub Actions",
      "input_term": "GitHub Actions",
      "matched_canonical": {
        "category_id": 14,
        "display_name": "GitHub Actions",
        "id": 1250,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CLOUD_SERVICE",
        "slug": "github-actions",
        "sub_category_id": 1019,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 304,
      "existing_alias_text": "Kubernetes",
      "input_term": "Kubernetes",
      "matched_canonical": {
        "category_id": 13,
        "display_name": "Kubernetes",
        "id": 158,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "kubernetes",
        "sub_category_id": 1524,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 290,
      "existing_alias_text": "Terraform",
      "input_term": "Terraform",
      "matched_canonical": {
        "category_id": 11,
        "display_name": "Terraform",
        "id": 144,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "terraform",
        "sub_category_id": 171,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 293,
      "existing_alias_text": "Ansible",
      "input_term": "Ansible",
      "matched_canonical": {
        "category_id": 11,
        "display_name": "Ansible",
        "id": 147,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "ansible",
        "sub_category_id": 1471,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 501,
      "existing_alias_text": "Bash",
      "input_term": "Bash",
      "matched_canonical": {
        "category_id": 5,
        "display_name": "Bash",
        "id": 292,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "bash",
        "sub_category_id": 146,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 608,
      "existing_alias_text": "Python",
      "input_term": "Python",
      "matched_canonical": {
        "category_id": 5,
        "display_name": "Python",
        "id": 393,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "python",
        "sub_category_id": 54,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 3395,
      "existing_alias_text": "Linux",
      "input_term": "Linux",
      "matched_canonical": {
        "category_id": 11,
        "display_name": "Linux",
        "id": 2598,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "linux",
        "sub_category_id": 2119,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    }
  ],
  "candidate_roles": [
    {
      "display_name": "DevOps Engineer",
      "id": 1,
      "rationale": null,
      "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
      "slug": "devops-engineer",
      "source": "db"
    },
    {
      "display_name": "Cybersecurity Engineer",
      "id": 9,
      "rationale": null,
      "role_archetype": null,
      "slug": "cybersecurity-engineer",
      "source": "db"
    },
    {
      "display_name": "MLOps Engineer",
      "id": 5,
      "rationale": null,
      "role_archetype": null,
      "slug": "mlops-engineer",
      "source": "db"
    },
    {
      "display_name": "Machine Learning Engineer",
      "id": 10,
      "rationale": null,
      "role_archetype": null,
      "slug": "machine-learning-engineer",
      "source": "db"
    },
    {
      "display_name": "Backend Engineer",
      "id": 14,
      "rationale": null,
      "role_archetype": null,
      "slug": "backend-engineer",
      "source": "db"
    },
    {
      "display_name": "Cloud Engineer",
      "id": 18,
      "rationale": null,
      "role_archetype": null,
      "slug": "cloud-engineer",
      "source": "db"
    },
    {
      "display_name": "Automation Tester",
      "id": 16,
      "rationale": null,
      "role_archetype": null,
      "slug": "automation-tester",
      "source": "db"
    },
    {
      "display_name": "Azure Cloud Engineer",
      "id": 4,
      "rationale": null,
      "role_archetype": null,
      "slug": "azure-cloud-engineer",
      "source": "db"
    },
    {
      "display_name": "Virtualization Engineer",
      "id": 26,
      "rationale": null,
      "role_archetype": null,
      "slug": "virtualization-engineer",
      "source": "db"
    },
    {
      "display_name": "Network Engineer",
      "id": 21,
      "rationale": null,
      "role_archetype": null,
      "slug": "network-engineer",
      "source": "db"
    },
    {
      "display_name": "Data Engineer",
      "id": 6,
      "rationale": null,
      "role_archetype": null,
      "slug": "data-engineer",
      "source": "db"
    },
    {
      "display_name": "Data Analyst",
      "id": 20,
      "rationale": null,
      "role_archetype": null,
      "slug": "data-analyst",
      "source": "db"
    },
    {
      "display_name": "Data Scientist",
      "id": 7,
      "rationale": null,
      "role_archetype": null,
      "slug": "data-scientist",
      "source": "db"
    },
    {
      "display_name": "AI Engineer",
      "id": 12,
      "rationale": null,
      "role_archetype": null,
      "slug": "ai-engineer",
      "source": "db"
    }
  ],
  "chosen_role": {
    "display_name": "DevOps Engineer",
    "id": 1,
    "rationale": "The primary skills include AWS, Azure, GCP, and Docker which align well with the DevOps Engineer role.",
    "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
    "slug": "devops-engineer",
    "source": "db"
  },
  "dimensions": [
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Platform Operations",
        "id": 26,
        "rationale": "Uses cloud provider services to support delivery and runtime environments. The focus is on consumer-level operation of cloud services rather than deep cloud architecture ownership.",
        "slug": "cloud-platform-operations",
        "source": "db"
      },
      "input_skill": "AWS",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "DevOps Engineer",
          "id": 1,
          "rationale": null,
          "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
          "slug": "devops-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Security Platforms",
        "id": 332,
        "rationale": "Cloud-native security products used to assess posture, detect misconfigurations, and monitor workloads across AWS, Azure, and GCP. This is a distinct product family because the role often works across multiple CNAPP/CSPM/CWPP offerings and cloud-native detectors.",
        "slug": "cloud-security-platforms",
        "source": "db"
      },
      "input_skill": "AWS",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cybersecurity Engineer",
          "id": 9,
          "rationale": null,
          "role_archetype": null,
          "slug": "cybersecurity-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Platform Operations",
        "id": 26,
        "rationale": "Uses cloud provider services to support delivery and runtime environments. The focus is on consumer-level operation of cloud services rather than deep cloud architecture ownership.",
        "slug": "cloud-platform-operations",
        "source": "db"
      },
      "input_skill": "Azure",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "DevOps Engineer",
          "id": 1,
          "rationale": null,
          "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
          "slug": "devops-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Security Platforms",
        "id": 332,
        "rationale": "Cloud-native security products used to assess posture, detect misconfigurations, and monitor workloads across AWS, Azure, and GCP. This is a distinct product family because the role often works across multiple CNAPP/CSPM/CWPP offerings and cloud-native detectors.",
        "slug": "cloud-security-platforms",
        "source": "db"
      },
      "input_skill": "Azure",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cybersecurity Engineer",
          "id": 9,
          "rationale": null,
          "role_archetype": null,
          "slug": "cybersecurity-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Security Platforms",
        "id": 332,
        "rationale": "Cloud-native security products used to assess posture, detect misconfigurations, and monitor workloads across AWS, Azure, and GCP. This is a distinct product family because the role often works across multiple CNAPP/CSPM/CWPP offerings and cloud-native detectors.",
        "slug": "cloud-security-platforms",
        "source": "db"
      },
      "input_skill": "GCP",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cybersecurity Engineer",
          "id": 9,
          "rationale": null,
          "role_archetype": null,
          "slug": "cybersecurity-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Containerization and Image Delivery",
        "id": 24,
        "rationale": "Builds, packages, and ships application and support workloads as container images. This cluster covers the artifact format and the mechanics of producing deployable images.",
        "slug": "containerization-and-image-delivery",
        "source": "db"
      },
      "input_skill": "Docker",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "DevOps Engineer",
          "id": 1,
          "rationale": null,
          "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
          "slug": "devops-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Model Serving Deployment and Runtime Packaging",
        "id": 52,
        "rationale": "Operational deployment of trained models into online, batch, or streaming serving environments, including packaging models and model servers into containers or managed inference runtimes, coordinating rollout, and handing off to inference systems. Covers serving frameworks and platforms such as TensorFlow Serving, TorchServe, Triton Inference Server, BentoML, KServe, and Seldon Core, plus container/runtime concerns like Docker images, GPU-enabled containers, base image selection, container entrypoints, runtime dependencies, and image scanning for model services.",
        "slug": "model-serving-deployment-and-runtime-packaging",
        "source": "db"
      },
      "input_skill": "Docker",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "MLOps Engineer",
          "id": 5,
          "rationale": null,
          "role_archetype": null,
          "slug": "mlops-engineer",
          "source": "db"
        },
        {
          "display_name": "Machine Learning Engineer",
          "id": 10,
          "rationale": null,
          "role_archetype": null,
          "slug": "machine-learning-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Observability and Alerting",
        "id": 27,
        "rationale": "Builds feedback loops for system health through metrics, logs, traces, dashboards, and alerts. This cluster is coherent because it turns runtime behavior into actionable operational signals.",
        "slug": "observability-and-alerting",
        "source": "db"
      },
      "input_skill": "Grafana",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "DevOps Engineer",
          "id": 1,
          "rationale": null,
          "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
          "slug": "devops-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Observability and Diagnostics",
        "id": 151,
        "rationale": "Logging, metrics, tracing, dashboards, and debugging practices used to understand backend behavior in production. This cluster is coherent because backend engineers must detect failures, performance issues, and unexpected behavior.",
        "slug": "observability-and-diagnostics",
        "source": "db"
      },
      "input_skill": "Grafana",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Backend Engineer",
          "id": 14,
          "rationale": null,
          "role_archetype": null,
          "slug": "backend-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Observability and Alerting",
        "id": 27,
        "rationale": "Builds feedback loops for system health through metrics, logs, traces, dashboards, and alerts. This cluster is coherent because it turns runtime behavior into actionable operational signals.",
        "slug": "observability-and-alerting",
        "source": "db"
      },
      "input_skill": "Prometheus",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "DevOps Engineer",
          "id": 1,
          "rationale": null,
          "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
          "slug": "devops-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Observability and Diagnostics",
        "id": 151,
        "rationale": "Logging, metrics, tracing, dashboards, and debugging practices used to understand backend behavior in production. This cluster is coherent because backend engineers must detect failures, performance issues, and unexpected behavior.",
        "slug": "observability-and-diagnostics",
        "source": "db"
      },
      "input_skill": "Prometheus",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Backend Engineer",
          "id": 14,
          "rationale": null,
          "role_archetype": null,
          "slug": "backend-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Monitoring, Observability, and Alerting",
        "id": 289,
        "rationale": "Telemetry, logs, metrics, traces, dashboards, synthetic checks, SLOs, and alert rules used to monitor system and cloud environment health, detect failures or degradation, and create actionable operational feedback loops. Includes cloud-native monitoring services and observability platforms such as CloudWatch, Azure Monitor, Google Cloud Monitoring, Prometheus, Grafana, OpenTelemetry, Datadog, Splunk, and ELK stack.",
        "slug": "cloud-monitoring-observability-and-alerting",
        "source": "db"
      },
      "input_skill": "CloudWatch",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cloud Engineer",
          "id": 18,
          "rationale": null,
          "role_archetype": null,
          "slug": "cloud-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Continuous Integration Test Integration",
        "id": 207,
        "rationale": "Integrating automated checks into shared build and merge workflows so results are repeatable and visible. This cluster is coherent because automation testers commonly configure test execution triggers, artifacts, and reporting hooks.",
        "slug": "continuous-integration-test-integration",
        "source": "db"
      },
      "input_skill": "Jenkins",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Automation Tester",
          "id": 16,
          "rationale": null,
          "role_archetype": null,
          "slug": "automation-tester",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Continuous Integration Test Integration",
        "id": 207,
        "rationale": "Integrating automated checks into shared build and merge workflows so results are repeatable and visible. This cluster is coherent because automation testers commonly configure test execution triggers, artifacts, and reporting hooks.",
        "slug": "continuous-integration-test-integration",
        "source": "db"
      },
      "input_skill": "GitHub Actions",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Automation Tester",
          "id": 16,
          "rationale": null,
          "role_archetype": null,
          "slug": "automation-tester",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Orchestration Platforms",
        "id": 25,
        "rationale": "Operates the platforms that schedule and run containerized workloads and related deployment primitives. This is separate from image delivery because it concerns runtime placement and service rollout behavior.",
        "slug": "orchestration-platforms",
        "source": "db"
      },
      "input_skill": "Kubernetes",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cloud Engineer",
          "id": 18,
          "rationale": null,
          "role_archetype": null,
          "slug": "cloud-engineer",
          "source": "db"
        },
        {
          "display_name": "DevOps Engineer",
          "id": 1,
          "rationale": null,
          "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
          "slug": "devops-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Infrastructure Provisioning Templates",
        "id": 291,
        "rationale": "Declarative templates and modules used to create repeatable cloud resources and environments. This cluster covers the infrastructure definitions the role applies, reviews, and updates to keep environments consistent.",
        "slug": "infrastructure-provisioning-templates",
        "source": "db"
      },
      "input_skill": "Terraform",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cloud Engineer",
          "id": 18,
          "rationale": null,
          "role_archetype": null,
          "slug": "cloud-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Infrastructure as Code",
        "id": 22,
        "rationale": "Defines infrastructure and platform resources through versioned code so environments are repeatable and reviewable. This is a coherent cluster because it underpins environment consistency and change control.",
        "slug": "infrastructure-as-code",
        "source": "db"
      },
      "input_skill": "Terraform",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "DevOps Engineer",
          "id": 1,
          "rationale": null,
          "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
          "slug": "devops-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Infrastructure as Code and Declarative Provisioning",
        "id": 36,
        "rationale": "Defines cloud and platform infrastructure declaratively through versioned code so environments are repeatable, reviewable, and automatable. This includes authoring and maintaining IaC templates/modules, managing parameters and state, and using plan/apply workflows to provision and update resources across Azure and other cloud platforms.",
        "slug": "infrastructure-as-code-and-declarative-provisioning",
        "source": "db"
      },
      "input_skill": "Terraform",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Azure Cloud Engineer",
          "id": 4,
          "rationale": null,
          "role_archetype": null,
          "slug": "azure-cloud-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Automation and Scripting for Operations",
        "id": 361,
        "rationale": "Scripts and lightweight automation used to execute repetitive virtualization tasks and enforce operational consistency. This is the practical glue that reduces manual host and VM administration.",
        "slug": "automation-and-scripting-for-operations",
        "source": "db"
      },
      "input_skill": "Ansible",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Virtualization Engineer",
          "id": 26,
          "rationale": null,
          "role_archetype": null,
          "slug": "virtualization-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Configuration Management",
        "id": 23,
        "rationale": "Manages environment-specific settings, secrets wiring, and standardized runtime configuration across services. It is distinct from infrastructure provisioning because it focuses on how software is parameterized at deploy time.",
        "slug": "configuration-management",
        "source": "db"
      },
      "input_skill": "Ansible",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "DevOps Engineer",
          "id": 1,
          "rationale": null,
          "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
          "slug": "devops-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Network Automation and Scripting",
        "id": 285,
        "rationale": "Covers scripts and automation used to configure, validate, and audit network devices and services. This cluster is coherent because repeatable network operations increasingly depend on programmatic changes and checks.",
        "slug": "network-automation-and-scripting",
        "source": "db"
      },
      "input_skill": "Ansible",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Network Engineer",
          "id": 21,
          "rationale": null,
          "role_archetype": null,
          "slug": "network-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Automation Scripting and CLI",
        "id": 48,
        "rationale": "Uses scripts and command-line tooling to execute repeatable Azure operations and reduce manual work. This is a practical cluster because the role frequently automates provisioning, checks, and remediation tasks.",
        "slug": "automation-scripting-and-cli",
        "source": "db"
      },
      "input_skill": "Bash",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Azure Cloud Engineer",
          "id": 4,
          "rationale": null,
          "role_archetype": null,
          "slug": "azure-cloud-engineer",
          "source": "db"
        },
        {
          "display_name": "Cloud Engineer",
          "id": 18,
          "rationale": null,
          "role_archetype": null,
          "slug": "cloud-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Automation and Scripting for Operations",
        "id": 361,
        "rationale": "Scripts and lightweight automation used to execute repetitive virtualization tasks and enforce operational consistency. This is the practical glue that reduces manual host and VM administration.",
        "slug": "automation-and-scripting-for-operations",
        "source": "db"
      },
      "input_skill": "Bash",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Virtualization Engineer",
          "id": 26,
          "rationale": null,
          "role_archetype": null,
          "slug": "virtualization-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Programming Languages for Data Work",
        "id": 67,
        "rationale": "Languages used to implement data pipelines, transformations, and operational utilities. This is the code layer for expressing extraction, parsing, validation, and orchestration logic in data engineering workflows.",
        "slug": "programming-languages-for-data-work",
        "source": "db"
      },
      "input_skill": "Bash",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Data Engineer",
          "id": 6,
          "rationale": null,
          "role_archetype": null,
          "slug": "data-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Programming Languages for Security Work",
        "id": 328,
        "rationale": "Languages used to automate security tasks, write detection logic, and build analysis or remediation tooling. This is the core coding surface for a cybersecurity engineer across scripts, queries, and small utilities.",
        "slug": "programming-languages-for-security-work",
        "source": "db"
      },
      "input_skill": "Bash",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cybersecurity Engineer",
          "id": 9,
          "rationale": null,
          "role_archetype": null,
          "slug": "cybersecurity-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Security Automation and Scripting",
        "id": 258,
        "rationale": "Automating repeatable security checks, enrichment, and remediation workflows. This cluster is coherent because the role often needs lightweight automation to scale analysis and response.",
        "slug": "security-automation-and-scripting",
        "source": "db"
      },
      "input_skill": "Bash",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cybersecurity Engineer",
          "id": 9,
          "rationale": null,
          "role_archetype": null,
          "slug": "cybersecurity-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Analytical Programming Languages",
        "id": 82,
        "rationale": "Languages used to clean, transform, analyze, and prototype models in notebooks and scripts. This is the core coding surface for expressing statistical logic and data manipulation in a reproducible way.",
        "slug": "analytical-programming-languages",
        "source": "db"
      },
      "input_skill": "Python",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Data Analyst",
          "id": 20,
          "rationale": null,
          "role_archetype": null,
          "slug": "data-analyst",
          "source": "db"
        },
        {
          "display_name": "Data Scientist",
          "id": 7,
          "rationale": null,
          "role_archetype": null,
          "slug": "data-scientist",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Automation Scripting and CLI",
        "id": 48,
        "rationale": "Uses scripts and command-line tooling to execute repeatable Azure operations and reduce manual work. This is a practical cluster because the role frequently automates provisioning, checks, and remediation tasks.",
        "slug": "automation-scripting-and-cli",
        "source": "db"
      },
      "input_skill": "Python",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Azure Cloud Engineer",
          "id": 4,
          "rationale": null,
          "role_archetype": null,
          "slug": "azure-cloud-engineer",
          "source": "db"
        },
        {
          "display_name": "Cloud Engineer",
          "id": 18,
          "rationale": null,
          "role_archetype": null,
          "slug": "cloud-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Automation and Scripting for Operations",
        "id": 361,
        "rationale": "Scripts and lightweight automation used to execute repetitive virtualization tasks and enforce operational consistency. This is the practical glue that reduces manual host and VM administration.",
        "slug": "automation-and-scripting-for-operations",
        "source": "db"
      },
      "input_skill": "Python",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Virtualization Engineer",
          "id": 26,
          "rationale": null,
          "role_archetype": null,
          "slug": "virtualization-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Network Automation and Scripting",
        "id": 285,
        "rationale": "Covers scripts and automation used to configure, validate, and audit network devices and services. This cluster is coherent because repeatable network operations increasingly depend on programmatic changes and checks.",
        "slug": "network-automation-and-scripting",
        "source": "db"
      },
      "input_skill": "Python",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Network Engineer",
          "id": 21,
          "rationale": null,
          "role_archetype": null,
          "slug": "network-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Programming Languages for AI Workflows",
        "id": 261,
        "rationale": "Languages used to implement AI feature logic, orchestration, and response handling inside product code. This is the core coding surface for turning prompts and model calls into reliable application behavior.",
        "slug": "programming-languages-for-ai-workflows",
        "source": "db"
      },
      "input_skill": "Python",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "AI Engineer",
          "id": 12,
          "rationale": null,
          "role_archetype": null,
          "slug": "ai-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Programming Languages for Backend Systems",
        "id": 140,
        "rationale": "Languages used to implement server-side business logic, request handlers, workers, and service integrations. This is the core coding surface for backend feature delivery and maintenance.",
        "slug": "programming-languages-for-backend-systems",
        "source": "db"
      },
      "input_skill": "Python",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Backend Engineer",
          "id": 14,
          "rationale": null,
          "role_archetype": null,
          "slug": "backend-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Programming Languages for Data Work",
        "id": 67,
        "rationale": "Languages used to implement data pipelines, transformations, and operational utilities. This is the code layer for expressing extraction, parsing, validation, and orchestration logic in data engineering workflows.",
        "slug": "programming-languages-for-data-work",
        "source": "db"
      },
      "input_skill": "Python",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Data Engineer",
          "id": 6,
          "rationale": null,
          "role_archetype": null,
          "slug": "data-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Programming Languages for ML Systems",
        "id": 113,
        "rationale": "Languages used to implement model integration code, inference services, and feature-processing logic. This is the core coding surface for turning trained models into product-facing software components.",
        "slug": "programming-languages-for-ml-systems",
        "source": "db"
      },
      "input_skill": "Python",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Machine Learning Engineer",
          "id": 10,
          "rationale": null,
          "role_archetype": null,
          "slug": "machine-learning-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Programming Languages for Security Work",
        "id": 328,
        "rationale": "Languages used to automate security tasks, write detection logic, and build analysis or remediation tooling. This is the core coding surface for a cybersecurity engineer across scripts, queries, and small utilities.",
        "slug": "programming-languages-for-security-work",
        "source": "db"
      },
      "input_skill": "Python",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cybersecurity Engineer",
          "id": 9,
          "rationale": null,
          "role_archetype": null,
          "slug": "cybersecurity-engineer",
          "source": "db"
        }
      ]
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          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Analyst",
              "id": 20,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-analyst",
              "source": "db"
            },
            {
              "display_name": "Data Scientist",
              "id": 7,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-scientist",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Automation Scripting and CLI",
            "id": 48,
            "rationale": "Uses scripts and command-line tooling to execute repeatable Azure operations and reduce manual work. This is a practical cluster because the role frequently automates provisioning, checks, and remediation tasks.",
            "slug": "automation-scripting-and-cli",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Azure Cloud Engineer",
              "id": 4,
              "rationale": null,
              "role_archetype": null,
              "slug": "azure-cloud-engineer",
              "source": "db"
            },
            {
              "display_name": "Cloud Engineer",
              "id": 18,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Automation and Scripting for Operations",
            "id": 361,
            "rationale": "Scripts and lightweight automation used to execute repetitive virtualization tasks and enforce operational consistency. This is the practical glue that reduces manual host and VM administration.",
            "slug": "automation-and-scripting-for-operations",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Virtualization Engineer",
              "id": 26,
              "rationale": null,
              "role_archetype": null,
              "slug": "virtualization-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Network Automation and Scripting",
            "id": 285,
            "rationale": "Covers scripts and automation used to configure, validate, and audit network devices and services. This cluster is coherent because repeatable network operations increasingly depend on programmatic changes and checks.",
            "slug": "network-automation-and-scripting",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Network Engineer",
              "id": 21,
              "rationale": null,
              "role_archetype": null,
              "slug": "network-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages for AI Workflows",
            "id": 261,
            "rationale": "Languages used to implement AI feature logic, orchestration, and response handling inside product code. This is the core coding surface for turning prompts and model calls into reliable application behavior.",
            "slug": "programming-languages-for-ai-workflows",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "AI Engineer",
              "id": 12,
              "rationale": null,
              "role_archetype": null,
              "slug": "ai-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages for Backend Systems",
            "id": 140,
            "rationale": "Languages used to implement server-side business logic, request handlers, workers, and service integrations. This is the core coding surface for backend feature delivery and maintenance.",
            "slug": "programming-languages-for-backend-systems",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Backend Engineer",
              "id": 14,
              "rationale": null,
              "role_archetype": null,
              "slug": "backend-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages for Data Work",
            "id": 67,
            "rationale": "Languages used to implement data pipelines, transformations, and operational utilities. This is the code layer for expressing extraction, parsing, validation, and orchestration logic in data engineering workflows.",
            "slug": "programming-languages-for-data-work",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
              "id": 6,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages for ML Systems",
            "id": 113,
            "rationale": "Languages used to implement model integration code, inference services, and feature-processing logic. This is the core coding surface for turning trained models into product-facing software components.",
            "slug": "programming-languages-for-ml-systems",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Machine Learning Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "machine-learning-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages for Security Work",
            "id": 328,
            "rationale": "Languages used to automate security tasks, write detection logic, and build analysis or remediation tooling. This is the core coding surface for a cybersecurity engineer across scripts, queries, and small utilities.",
            "slug": "programming-languages-for-security-work",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cybersecurity Engineer",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cybersecurity-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages for Test Automation",
            "id": 193,
            "rationale": "Languages used to implement automated checks, helper utilities, and test harness code. This is the core coding surface for turning test ideas into maintainable automation.",
            "slug": "programming-languages-for-test-automation",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Automation Tester",
              "id": 16,
              "rationale": null,
              "role_archetype": null,
              "slug": "automation-tester",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Security Automation and Scripting",
            "id": 258,
            "rationale": "Automating repeatable security checks, enrichment, and remediation workflows. This cluster is coherent because the role often needs lightweight automation to scale analysis and response.",
            "slug": "security-automation-and-scripting",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cybersecurity Engineer",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cybersecurity-engineer",
              "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": [
        {
          "alias_text": "Linux",
          "alias_type": "CANONICAL",
          "id": 3395,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 11,
        "display_name": "Linux",
        "id": 2598,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "linux",
        "sub_category_id": 2119,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Automation Scripting and CLI",
            "id": 48,
            "rationale": "Uses scripts and command-line tooling to execute repeatable Azure operations and reduce manual work. This is a practical cluster because the role frequently automates provisioning, checks, and remediation tasks.",
            "slug": "automation-scripting-and-cli",
            "source": "db"
          },
          "input_skill": "Linux",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Azure Cloud Engineer",
              "id": 4,
              "rationale": null,
              "role_archetype": null,
              "slug": "azure-cloud-engineer",
              "source": "db"
            },
            {
              "display_name": "Cloud Engineer",
              "id": 18,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Linux",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": []
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "DevOps Engineer",
    "id": 1,
    "rationale": "The primary skills include AWS, Azure, GCP, and Docker which align well with the DevOps Engineer role.",
    "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
    "slug": "devops-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "AWS",
      "tag": "in_db"
    },
    {
      "skill": "Azure",
      "tag": "in_db"
    },
    {
      "skill": "GCP",
      "tag": "in_db"
    },
    {
      "skill": "Docker",
      "tag": "in_db"
    },
    {
      "skill": "Grafana",
      "tag": "in_db"
    },
    {
      "skill": "Prometheus",
      "tag": "in_db"
    },
    {
      "skill": "CloudWatch",
      "tag": "in_db"
    },
    {
      "skill": "Jenkins",
      "tag": "in_db"
    },
    {
      "skill": "GitHub Actions",
      "tag": "in_db"
    },
    {
      "skill": "Kubernetes",
      "tag": "in_db"
    },
    {
      "skill": "Terraform",
      "tag": "in_db"
    },
    {
      "skill": "Ansible",
      "tag": "in_db"
    },
    {
      "skill": "Bash",
      "tag": "in_db"
    },
    {
      "skill": "Python",
      "tag": "in_db"
    },
    {
      "skill": "Linux",
      "tag": "in_db"
    }
  ],
  "persistence": {
    "items": [
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Platform Operations",
          "id": 26,
          "rationale": "Uses cloud provider services to support delivery and runtime environments. The focus is on consumer-level operation of cloud services rather than deep cloud architecture ownership.",
          "slug": "cloud-platform-operations",
          "source": "db"
        },
        "dimension_id": 26,
        "input_skill": "AWS",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 163,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Security Platforms",
          "id": 332,
          "rationale": "Cloud-native security products used to assess posture, detect misconfigurations, and monitor workloads across AWS, Azure, and GCP. This is a distinct product family because the role often works across multiple CNAPP/CSPM/CWPP offerings and cloud-native detectors.",
          "slug": "cloud-security-platforms",
          "source": "db"
        },
        "dimension_id": 332,
        "input_skill": "AWS",
        "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": "Cybersecurity Engineer",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 163,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Platform Operations",
          "id": 26,
          "rationale": "Uses cloud provider services to support delivery and runtime environments. The focus is on consumer-level operation of cloud services rather than deep cloud architecture ownership.",
          "slug": "cloud-platform-operations",
          "source": "db"
        },
        "dimension_id": 26,
        "input_skill": "Azure",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 164,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Security Platforms",
          "id": 332,
          "rationale": "Cloud-native security products used to assess posture, detect misconfigurations, and monitor workloads across AWS, Azure, and GCP. This is a distinct product family because the role often works across multiple CNAPP/CSPM/CWPP offerings and cloud-native detectors.",
          "slug": "cloud-security-platforms",
          "source": "db"
        },
        "dimension_id": 332,
        "input_skill": "Azure",
        "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": "Cybersecurity Engineer",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 164,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Security Platforms",
          "id": 332,
          "rationale": "Cloud-native security products used to assess posture, detect misconfigurations, and monitor workloads across AWS, Azure, and GCP. This is a distinct product family because the role often works across multiple CNAPP/CSPM/CWPP offerings and cloud-native detectors.",
          "slug": "cloud-security-platforms",
          "source": "db"
        },
        "dimension_id": 332,
        "input_skill": "GCP",
        "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": "Cybersecurity Engineer",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 2304,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Containerization and Image Delivery",
          "id": 24,
          "rationale": "Builds, packages, and ships application and support workloads as container images. This cluster covers the artifact format and the mechanics of producing deployable images.",
          "slug": "containerization-and-image-delivery",
          "source": "db"
        },
        "dimension_id": 24,
        "input_skill": "Docker",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 153,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Model Serving Deployment and Runtime Packaging",
          "id": 52,
          "rationale": "Operational deployment of trained models into online, batch, or streaming serving environments, including packaging models and model servers into containers or managed inference runtimes, coordinating rollout, and handing off to inference systems. Covers serving frameworks and platforms such as TensorFlow Serving, TorchServe, Triton Inference Server, BentoML, KServe, and Seldon Core, plus container/runtime concerns like Docker images, GPU-enabled containers, base image selection, container entrypoints, runtime dependencies, and image scanning for model services.",
          "slug": "model-serving-deployment-and-runtime-packaging",
          "source": "db"
        },
        "dimension_id": 52,
        "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": "MLOps Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "mlops-engineer",
            "source": "db"
          },
          {
            "display_name": "Machine Learning Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "machine-learning-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 153,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Observability and Alerting",
          "id": 27,
          "rationale": "Builds feedback loops for system health through metrics, logs, traces, dashboards, and alerts. This cluster is coherent because it turns runtime behavior into actionable operational signals.",
          "slug": "observability-and-alerting",
          "source": "db"
        },
        "dimension_id": 27,
        "input_skill": "Grafana",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 169,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Observability and Diagnostics",
          "id": 151,
          "rationale": "Logging, metrics, tracing, dashboards, and debugging practices used to understand backend behavior in production. This cluster is coherent because backend engineers must detect failures, performance issues, and unexpected behavior.",
          "slug": "observability-and-diagnostics",
          "source": "db"
        },
        "dimension_id": 151,
        "input_skill": "Grafana",
        "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": "Backend Engineer",
            "id": 14,
            "rationale": null,
            "role_archetype": null,
            "slug": "backend-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 169,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Observability and Alerting",
          "id": 27,
          "rationale": "Builds feedback loops for system health through metrics, logs, traces, dashboards, and alerts. This cluster is coherent because it turns runtime behavior into actionable operational signals.",
          "slug": "observability-and-alerting",
          "source": "db"
        },
        "dimension_id": 27,
        "input_skill": "Prometheus",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 168,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Observability and Diagnostics",
          "id": 151,
          "rationale": "Logging, metrics, tracing, dashboards, and debugging practices used to understand backend behavior in production. This cluster is coherent because backend engineers must detect failures, performance issues, and unexpected behavior.",
          "slug": "observability-and-diagnostics",
          "source": "db"
        },
        "dimension_id": 151,
        "input_skill": "Prometheus",
        "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": "Backend Engineer",
            "id": 14,
            "rationale": null,
            "role_archetype": null,
            "slug": "backend-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 168,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Monitoring, Observability, and Alerting",
          "id": 289,
          "rationale": "Telemetry, logs, metrics, traces, dashboards, synthetic checks, SLOs, and alert rules used to monitor system and cloud environment health, detect failures or degradation, and create actionable operational feedback loops. Includes cloud-native monitoring services and observability platforms such as CloudWatch, Azure Monitor, Google Cloud Monitoring, Prometheus, Grafana, OpenTelemetry, Datadog, Splunk, and ELK stack.",
          "slug": "cloud-monitoring-observability-and-alerting",
          "source": "db"
        },
        "dimension_id": 289,
        "input_skill": "CloudWatch",
        "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 Engineer",
            "id": 18,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1779,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Continuous Integration Test Integration",
          "id": 207,
          "rationale": "Integrating automated checks into shared build and merge workflows so results are repeatable and visible. This cluster is coherent because automation testers commonly configure test execution triggers, artifacts, and reporting hooks.",
          "slug": "continuous-integration-test-integration",
          "source": "db"
        },
        "dimension_id": 207,
        "input_skill": "Jenkins",
        "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": "Automation Tester",
            "id": 16,
            "rationale": null,
            "role_archetype": null,
            "slug": "automation-tester",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1249,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Continuous Integration Test Integration",
          "id": 207,
          "rationale": "Integrating automated checks into shared build and merge workflows so results are repeatable and visible. This cluster is coherent because automation testers commonly configure test execution triggers, artifacts, and reporting hooks.",
          "slug": "continuous-integration-test-integration",
          "source": "db"
        },
        "dimension_id": 207,
        "input_skill": "GitHub Actions",
        "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": "Automation Tester",
            "id": 16,
            "rationale": null,
            "role_archetype": null,
            "slug": "automation-tester",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1250,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Orchestration Platforms",
          "id": 25,
          "rationale": "Operates the platforms that schedule and run containerized workloads and related deployment primitives. This is separate from image delivery because it concerns runtime placement and service rollout behavior.",
          "slug": "orchestration-platforms",
          "source": "db"
        },
        "dimension_id": 25,
        "input_skill": "Kubernetes",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "Cloud Engineer",
            "id": 18,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-engineer",
            "source": "db"
          },
          {
            "display_name": "DevOps Engineer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 158,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Infrastructure Provisioning Templates",
          "id": 291,
          "rationale": "Declarative templates and modules used to create repeatable cloud resources and environments. This cluster covers the infrastructure definitions the role applies, reviews, and updates to keep environments consistent.",
          "slug": "infrastructure-provisioning-templates",
          "source": "db"
        },
        "dimension_id": 291,
        "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 Engineer",
            "id": 18,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 144,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Infrastructure as Code",
          "id": 22,
          "rationale": "Defines infrastructure and platform resources through versioned code so environments are repeatable and reviewable. This is a coherent cluster because it underpins environment consistency and change control.",
          "slug": "infrastructure-as-code",
          "source": "db"
        },
        "dimension_id": 22,
        "input_skill": "Terraform",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 144,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Infrastructure as Code and Declarative Provisioning",
          "id": 36,
          "rationale": "Defines cloud and platform infrastructure declaratively through versioned code so environments are repeatable, reviewable, and automatable. This includes authoring and maintaining IaC templates/modules, managing parameters and state, and using plan/apply workflows to provision and update resources across Azure and other cloud platforms.",
          "slug": "infrastructure-as-code-and-declarative-provisioning",
          "source": "db"
        },
        "dimension_id": 36,
        "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": "Azure Cloud Engineer",
            "id": 4,
            "rationale": null,
            "role_archetype": null,
            "slug": "azure-cloud-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 144,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Automation and Scripting for Operations",
          "id": 361,
          "rationale": "Scripts and lightweight automation used to execute repetitive virtualization tasks and enforce operational consistency. This is the practical glue that reduces manual host and VM administration.",
          "slug": "automation-and-scripting-for-operations",
          "source": "db"
        },
        "dimension_id": 361,
        "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": "Virtualization Engineer",
            "id": 26,
            "rationale": null,
            "role_archetype": null,
            "slug": "virtualization-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 147,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Configuration Management",
          "id": 23,
          "rationale": "Manages environment-specific settings, secrets wiring, and standardized runtime configuration across services. It is distinct from infrastructure provisioning because it focuses on how software is parameterized at deploy time.",
          "slug": "configuration-management",
          "source": "db"
        },
        "dimension_id": 23,
        "input_skill": "Ansible",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A DevOps Engineer enables reliable, repeatable delivery of software by designing and operating the processes that connect development and production. They focus on improving deployment flow, operational stability, and collaboration between teams through automation, standardization, and monitoring of delivery and runtime practices.",
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 147,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Network Automation and Scripting",
          "id": 285,
          "rationale": "Covers scripts and automation used to configure, validate, and audit network devices and services. This cluster is coherent because repeatable network operations increasingly depend on programmatic changes and checks.",
          "slug": "network-automation-and-scripting",
          "source": "db"
        },
        "dimension_id": 285,
        "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": "Network Engineer",
            "id": 21,
            "rationale": null,
            "role_archetype": null,
            "slug": "network-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 147,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Automation Scripting and CLI",
          "id": 48,
          "rationale": "Uses scripts and command-line tooling to execute repeatable Azure operations and reduce manual work. This is a practical cluster because the role frequently automates provisioning, checks, and remediation tasks.",
          "slug": "automation-scripting-and-cli",
          "source": "db"
        },
        "dimension_id": 48,
        "input_skill": "Bash",
        "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": "Azure Cloud Engineer",
            "id": 4,
            "rationale": null,
            "role_archetype": null,
            "slug": "azure-cloud-engineer",
            "source": "db"
          },
          {
            "display_name": "Cloud Engineer",
            "id": 18,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 292,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Automation and Scripting for Operations",
          "id": 361,
          "rationale": "Scripts and lightweight automation used to execute repetitive virtualization tasks and enforce operational consistency. This is the practical glue that reduces manual host and VM administration.",
          "slug": "automation-and-scripting-for-operations",
          "source": "db"
        },
        "dimension_id": 361,
        "input_skill": "Bash",
        "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": "Virtualization Engineer",
            "id": 26,
            "rationale": null,
            "role_archetype": null,
            "slug": "virtualization-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 292,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for Data Work",
          "id": 67,
          "rationale": "Languages used to implement data pipelines, transformations, and operational utilities. This is the code layer for expressing extraction, parsing, validation, and orchestration logic in data engineering workflows.",
          "slug": "programming-languages-for-data-work",
          "source": "db"
        },
        "dimension_id": 67,
        "input_skill": "Bash",
        "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": "Data Engineer",
            "id": 6,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 292,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for Security Work",
          "id": 328,
          "rationale": "Languages used to automate security tasks, write detection logic, and build analysis or remediation tooling. This is the core coding surface for a cybersecurity engineer across scripts, queries, and small utilities.",
          "slug": "programming-languages-for-security-work",
          "source": "db"
        },
        "dimension_id": 328,
        "input_skill": "Bash",
        "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": "Cybersecurity Engineer",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 292,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Security Automation and Scripting",
          "id": 258,
          "rationale": "Automating repeatable security checks, enrichment, and remediation workflows. This cluster is coherent because the role often needs lightweight automation to scale analysis and response.",
          "slug": "security-automation-and-scripting",
          "source": "db"
        },
        "dimension_id": 258,
        "input_skill": "Bash",
        "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": "Cybersecurity Engineer",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 292,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Analytical Programming Languages",
          "id": 82,
          "rationale": "Languages used to clean, transform, analyze, and prototype models in notebooks and scripts. This is the core coding surface for expressing statistical logic and data manipulation in a reproducible way.",
          "slug": "analytical-programming-languages",
          "source": "db"
        },
        "dimension_id": 82,
        "input_skill": "Python",
        "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": "Data Analyst",
            "id": 20,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-analyst",
            "source": "db"
          },
          {
            "display_name": "Data Scientist",
            "id": 7,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-scientist",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 393,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Automation Scripting and CLI",
          "id": 48,
          "rationale": "Uses scripts and command-line tooling to execute repeatable Azure operations and reduce manual work. This is a practical cluster because the role frequently automates provisioning, checks, and remediation tasks.",
          "slug": "automation-scripting-and-cli",
          "source": "db"
        },
        "dimension_id": 48,
        "input_skill": "Python",
        "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": "Azure Cloud Engineer",
            "id": 4,
            "rationale": null,
            "role_archetype": null,
            "slug": "azure-cloud-engineer",
            "source": "db"
          },
          {
            "display_name": "Cloud Engineer",
            "id": 18,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 393,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Automation and Scripting for Operations",
          "id": 361,
          "rationale": "Scripts and lightweight automation used to execute repetitive virtualization tasks and enforce operational consistency. This is the practical glue that reduces manual host and VM administration.",
          "slug": "automation-and-scripting-for-operations",
          "source": "db"
        },
        "dimension_id": 361,
        "input_skill": "Python",
        "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": "Virtualization Engineer",
            "id": 26,
            "rationale": null,
            "role_archetype": null,
            "slug": "virtualization-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 393,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Network Automation and Scripting",
          "id": 285,
          "rationale": "Covers scripts and automation used to configure, validate, and audit network devices and services. This cluster is coherent because repeatable network operations increasingly depend on programmatic changes and checks.",
          "slug": "network-automation-and-scripting",
          "source": "db"
        },
        "dimension_id": 285,
        "input_skill": "Python",
        "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": "Network Engineer",
            "id": 21,
            "rationale": null,
            "role_archetype": null,
            "slug": "network-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 393,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for AI Workflows",
          "id": 261,
          "rationale": "Languages used to implement AI feature logic, orchestration, and response handling inside product code. This is the core coding surface for turning prompts and model calls into reliable application behavior.",
          "slug": "programming-languages-for-ai-workflows",
          "source": "db"
        },
        "dimension_id": 261,
        "input_skill": "Python",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "roles_from_db": [
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        ],
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          "display_name": "Programming Languages for Backend Systems",
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        },
        "dimension_id": 140,
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "roles_from_db": [
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            "display_name": "Backend Engineer",
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        ],
        "skill_dimension_saved": true,
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        "skipped_reason": null
      },
      {
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        "dimension": {
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          "slug": "programming-languages-for-data-work",
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        "dimension_id": 67,
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "roles_from_db": [
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            "display_name": "Data Engineer",
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        ],
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        "skill_id": 393,
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      {
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          "display_name": "Programming Languages for Security Work",
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          "rationale": "Languages used to automate security tasks, write detection logic, and build analysis or remediation tooling. This is the core coding surface for a cybersecurity engineer across scripts, queries, and small utilities.",
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        "roles_from_db": [
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            "display_name": "Cybersecurity Engineer",
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            "slug": "cybersecurity-engineer",
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        ],
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        },
        "dimension_id": 48,
        "input_skill": "Linux",
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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          },
          {
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            "slug": "cloud-engineer",
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          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 2598,
        "skill_tag": "in_db",
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    ],
    "new_skills_created": 0,
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    "skill_dimension_saved": 0,
    "skipped": 0
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}

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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