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Pipeline run

1b48fc27-bd0a-47c8-8093-3baaa29f652c

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 (16)
AWS GCP Azure Terraform CloudFormation Docker Kubernetes VPC Load Balancers IAM GitHub Actions Jenkins Prometheus Grafana ELK CDN
Skill cluster (7 dimension groups, role-scoped)
Cloud Platforms
AWS GCP Azure
Observability and Incident Response
Prometheus Grafana
Container Orchestration Platforms
Kubernetes
Crash Reporting and Observability
ELK
Deployment and Runtime Configuration
Docker
Infrastructure as Code
Terraform
Cross-cutting / unaligned
CloudFormation VPC Load Balancers IAM GitHub Actions Jenkins CDN
Status: completed Created: 2026-05-11T09:35:45.210009Z Updated: 2026-05-11T09:35:49.453794Z API 3 duration: 797 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 role requires expertise in AWS, GCP, Azure, Terraform, and container orchestration, all of which align well with the DevOps Engineer position.

0
New skills
0
Skill↔dim saved
0
Role↔dim saved
19
Skipped

Job description

Job Title: Cloud Architect (Strict / High-Bar)
Role Overview

We are hiring a Cloud Architect to design and govern scalable, secure, and cost-efficient cloud infrastructure. This role requires deep expertise in distributed systems, cloud-native design, and architectural decision-making. You will define cloud strategy, lead system design, and ensure reliability and performance at scale.

Core Responsibilities
Design end-to-end cloud architectures for high-availability, scalable systems
Define and enforce cloud best practices, standards, and governance
Architect microservices and distributed systems in cloud environments
Design networking architecture (VPCs, subnets, routing, load balancing)
Ensure security, compliance, and identity management (IAM) across systems
Optimize cost, performance, and scalability of cloud infrastructure
Design disaster recovery and high-availability strategies
Lead cloud migration strategies (on-prem → cloud)
Collaborate with DevOps, backend, and security teams
Review and guide implementation of infrastructure and deployments
Must-Have Skills (Non-Negotiable)
Deep expertise in at least one cloud platform:
AWS / GCP / Azure
Strong understanding of distributed systems and system design
Experience with Infrastructure as Code (Terraform / CloudFormation)
Strong knowledge of cloud networking (VPC, DNS, load balancers, gateways)
Experience designing highly available and fault-tolerant systems
Strong understanding of security architecture (IAM, encryption, network security)
Experience with containerization and orchestration (Docker, Kubernetes)
Proficiency in CI/CD pipelines and DevOps practices
Solid understanding of monitoring and observability systems
Preferred / High-Value Skills
Multi-cloud or hybrid cloud architecture experience
Experience with serverless architectures
Knowledge of data architecture (data lakes, warehouses)
Familiarity with service mesh (Istio, Linkerd)
Experience with FinOps (cost optimization strategies)
Certifications (AWS Solutions Architect, GCP Architect, Azure Architect)
Strict Requirements
6–10+ years of experience in cloud, backend, or infrastructure engineering
Proven experience designing production-grade scalable systems
Strong architectural decision-making and trade-off analysis skills
Experience leading technical designs and mentoring engineers
Hands-on experience — not just high-level diagrams
Red Flags (Auto-Reject)
Only basic cloud usage (EC2 setup, simple deployments)
No experience with system design at scale
Lack of understanding of networking fundamentals
No hands-on Infrastructure as Code experience
Pure DevOps without architectural ownership
Tech Stack (Example)
Cloud: AWS / GCP / Azure
IaC: Terraform, CloudFormation
Containers: Docker, Kubernetes
CI/CD: GitHub Actions, Jenkins
Monitoring: Prometheus, Grafana, ELK
Networking: VPC, Load Balancers, CDN
What Success Looks Like
Highly scalable systems with 99.9%+ uptime
Optimized cloud costs without sacrificing performance
Secure, compliant, and well-governed cloud environments
Clear architecture patterns adopted across teams

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
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Cloud Security Platforms
cloud-security-platforms
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
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
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
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
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Cloud Security Platforms
cloud-security-platforms
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Terraform Primary 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
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Infrastructure as Code
infrastructure-as-code
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Infrastructure as Code and Declarative Provisioning
infrastructure-as-code-and-declarative-provisioning
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
CloudFormation Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: CloudFormation id=145 · cloudformation

Aliases — catalog

  • Apache Kafka (CANONICAL) primary

Context tags (catalog)

Avro Kafka Streams Schema Registry ZooKeeper brokers consumer group event streaming exactly-once semantics ksqlDB message queue offsets partitioning pub/sub replication topics

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Event Streaming Tool
Vendor
Apache Software Foundation
License
apache_2
Year introduced
2011
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Apache Kafka is broadly adopted in production and appears frequently in job descriptions for event streaming, data pipelines, and microservices; it remains a common hiring-pipeline staple across backend and platform roles.

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 as Code Catalog dimension db id 22

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Infrastructure as Code
infrastructure-as-code
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
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
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Model Serving Deployment and Runtime Packaging
model-serving-deployment-and-runtime-packaging
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Kubernetes Primary 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
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
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
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
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
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
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
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Observability and Diagnostics
observability-and-diagnostics
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
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
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Observability and Diagnostics
observability-and-diagnostics
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
ELK Secondary unmatched API 3: new canonical path (new) Unmatched (no library row)
VPC Primary unmatched API 3: new canonical path (new) Unmatched (no library row)
Load Balancers Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: load balancers id=193 · load-balancers

Aliases — catalog

  • Bash scripting (CANONICAL) primary

Context tags (catalog)

POSIX automation awk bash_profile bashrc chmod command_line cron environment variables exit codes functions grep here-doc pipes redirection scripts sed shebang shell stdin stdout text_processing variables xargs

Stored enrichment (catalog DB)

Category
Language
Sub-category
Shell Scripting Language
Vendor
GNU Project
License
gpl_v3
Year introduced
1989
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Bash scripting appears in many DevOps, SRE, and Linux admin job descriptions and remains a standard shell on Unix-like systems; no vendor sunset or clear replacement has displaced it.

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • Service Networking and Traffic Control Catalog dimension db id 32

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Service Networking and Traffic Control
service-networking-and-traffic-control
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
CDN Secondary unmatched API 3: new canonical path (new) Unmatched (no library row)
IAM Primary unmatched API 3: new canonical path (new) Unmatched (no library row)

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
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
AWS in_db
Cloud Security Platforms
cloud-security-platforms
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
GCP in_db
Cloud Security Platforms
cloud-security-platforms
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Azure in_db
Cloud Platform Operations
cloud-platform-operations
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Azure in_db
Cloud Security Platforms
cloud-security-platforms
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Terraform in_db
Infrastructure Provisioning Templates
infrastructure-provisioning-templates
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Terraform in_db
Infrastructure as Code
infrastructure-as-code
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Terraform in_db
Infrastructure as Code and Declarative Provisioning
infrastructure-as-code-and-declarative-provisioning
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
CloudFormation in_db
Infrastructure as Code
infrastructure-as-code
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Docker in_db
Containerization and Image Delivery
containerization-and-image-delivery
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Docker in_db
Model Serving Deployment and Runtime Packaging
model-serving-deployment-and-runtime-packaging
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Kubernetes in_db
Orchestration Platforms
orchestration-platforms
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
GitHub Actions in_db
Continuous Integration Test Integration
continuous-integration-test-integration
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Jenkins in_db
Continuous Integration Test Integration
continuous-integration-test-integration
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Prometheus in_db
Observability and Alerting
observability-and-alerting
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Prometheus in_db
Observability and Diagnostics
observability-and-diagnostics
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Grafana in_db
Observability and Alerting
observability-and-alerting
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Grafana in_db
Observability and Diagnostics
observability-and-diagnostics
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)
Load Balancers in_db
Service Networking and Traffic Control
service-networking-and-traffic-control
TODO: REMOVE AFTER TESTING — api3_writes_enabled=False (writes disabled)

Library artifacts (this run)

No artifact rows for this run.
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "AWS"
    },
    {
      "is_primary": true,
      "skill_name": "GCP"
    },
    {
      "is_primary": true,
      "skill_name": "Azure"
    },
    {
      "is_primary": true,
      "skill_name": "Terraform"
    },
    {
      "is_primary": true,
      "skill_name": "CloudFormation"
    },
    {
      "is_primary": true,
      "skill_name": "Docker"
    },
    {
      "is_primary": true,
      "skill_name": "Kubernetes"
    },
    {
      "is_primary": false,
      "skill_name": "GitHub Actions"
    },
    {
      "is_primary": false,
      "skill_name": "Jenkins"
    },
    {
      "is_primary": false,
      "skill_name": "Prometheus"
    },
    {
      "is_primary": false,
      "skill_name": "Grafana"
    },
    {
      "is_primary": false,
      "skill_name": "ELK"
    },
    {
      "is_primary": true,
      "skill_name": "VPC"
    },
    {
      "is_primary": true,
      "skill_name": "Load Balancers"
    },
    {
      "is_primary": false,
      "skill_name": "CDN"
    },
    {
      "is_primary": true,
      "skill_name": "IAM"
    }
  ],
  "run_id": null
}
API 2 — extract-details
{
  "alias_matches": [],
  "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": "Cloud Engineer",
      "id": 18,
      "rationale": null,
      "role_archetype": null,
      "slug": "cloud-engineer",
      "source": "db"
    },
    {
      "display_name": "Azure Cloud Engineer",
      "id": 4,
      "rationale": null,
      "role_archetype": null,
      "slug": "azure-cloud-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": "Automation Tester",
      "id": 16,
      "rationale": null,
      "role_archetype": null,
      "slug": "automation-tester",
      "source": "db"
    },
    {
      "display_name": "Backend Engineer",
      "id": 14,
      "rationale": null,
      "role_archetype": null,
      "slug": "backend-engineer",
      "source": "db"
    }
  ],
  "chosen_role": {
    "display_name": "DevOps Engineer",
    "id": 1,
    "rationale": "The role requires expertise in AWS, GCP, Azure, Terraform, and container orchestration, all of which align well with the DevOps Engineer position.",
    "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 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": "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": "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": "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": "CloudFormation",
      "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": "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": "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": "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": "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": "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": "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": "Service Networking and Traffic Control",
        "id": 32,
        "rationale": "Manages how traffic reaches services during deployment and runtime, including routing, load balancing, and ingress behavior. This is a distinct operational cluster because release safety often depends on traffic shaping.",
        "slug": "service-networking-and-traffic-control",
        "source": "db"
      },
      "input_skill": "Load Balancers",
      "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"
        }
      ]
    }
  ],
  "input_final_skills": [
    "AWS",
    "GCP",
    "Azure",
    "Terraform",
    "CloudFormation",
    "Docker",
    "Kubernetes",
    "GitHub Actions",
    "Jenkins",
    "Prometheus",
    "Grafana",
    "ELK",
    "VPC",
    "Load Balancers",
    "CDN",
    "IAM"
  ],
  "input_llm_skills": [],
  "new_aliases_persisted": 0,
  "run_id": "1b48fc27-bd0a-47c8-8093-3baaa29f652c",
  "skills_detail": [
    {
      "aliases_in_db": [
        {
          "alias_text": "AWS",
          "alias_type": "CANONICAL",
          "id": 348,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 13,
        "display_name": "AWS",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
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        "sub_category_id": 161,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "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",
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          },
          "input_skill": "AWS",
          "llm_role": null,
          "roles_from_db": [
            {
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              "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"
            }
          ]
        }
      ],
      "input_skill": "AWS",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": false
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "GCP",
          "alias_type": "CANONICAL",
          "id": 3043,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "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"
      },
      "dimensions": [
        {
          "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"
            }
          ]
        }
      ],
      "input_skill": "GCP",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": false
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Azure",
          "alias_type": "CANONICAL",
          "id": 349,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "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"
      },
      "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": "Azure",
          "llm_role": null,
          "roles_from_db": [
            {
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              "id": 1,
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              "source": "db"
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            }
          ]
        }
      ],
      "input_skill": "Prometheus",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": false
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Grafana",
          "alias_type": "CANONICAL",
          "id": 354,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "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"
      },
      "dimensions": [
        {
          "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"
            }
          ]
        }
      ],
      "input_skill": "Grafana",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": false
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "ELK",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "unmatched",
      "was_in_llm_skills": false
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "VPC",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "unmatched",
      "was_in_llm_skills": false
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "load balancers",
          "alias_type": "CANONICAL",
          "id": 392,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 11,
        "display_name": "load balancers",
        "id": 193,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "load-balancers",
        "sub_category_id": 178,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Service Networking and Traffic Control",
            "id": 32,
            "rationale": "Manages how traffic reaches services during deployment and runtime, including routing, load balancing, and ingress behavior. This is a distinct operational cluster because release safety often depends on traffic shaping.",
            "slug": "service-networking-and-traffic-control",
            "source": "db"
          },
          "input_skill": "Load Balancers",
          "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"
            }
          ]
        }
      ],
      "input_skill": "Load Balancers",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": false
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "CDN",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "unmatched",
      "was_in_llm_skills": false
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "IAM",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "unmatched",
      "was_in_llm_skills": false
    }
  ],
  "unmatched_skills": []
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "DevOps Engineer",
    "id": 1,
    "rationale": "The role requires expertise in AWS, GCP, Azure, Terraform, and container orchestration, all of which align well with the DevOps Engineer position.",
    "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"
  },
  "final_input_skills": [
    {
      "skill": "AWS",
      "tag": "in_db"
    },
    {
      "skill": "GCP",
      "tag": "in_db"
    },
    {
      "skill": "Azure",
      "tag": "in_db"
    },
    {
      "skill": "Terraform",
      "tag": "in_db"
    },
    {
      "skill": "CloudFormation",
      "tag": "in_db"
    },
    {
      "skill": "Docker",
      "tag": "in_db"
    },
    {
      "skill": "Kubernetes",
      "tag": "in_db"
    },
    {
      "skill": "GitHub Actions",
      "tag": "in_db"
    },
    {
      "skill": "Jenkins",
      "tag": "in_db"
    },
    {
      "skill": "Prometheus",
      "tag": "in_db"
    },
    {
      "skill": "Grafana",
      "tag": "in_db"
    },
    {
      "skill": "ELK",
      "tag": "new"
    },
    {
      "skill": "VPC",
      "tag": "new"
    },
    {
      "skill": "Load Balancers",
      "tag": "in_db"
    },
    {
      "skill": "CDN",
      "tag": "new"
    },
    {
      "skill": "IAM",
      "tag": "new"
    }
  ],
  "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,
        "role_dimension_saved": false,
        "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": false,
        "skill_id": 163,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
        "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,
        "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": false,
        "skill_id": 163,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
        "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,
        "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": false,
        "skill_id": 2304,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
        "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,
        "role_dimension_saved": false,
        "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": false,
        "skill_id": 164,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
        "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,
        "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": false,
        "skill_id": 164,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
        "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,
        "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": false,
        "skill_id": 144,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
        "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,
        "role_dimension_saved": false,
        "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": false,
        "skill_id": 144,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
        "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,
        "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": false,
        "skill_id": 144,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
        "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": "CloudFormation",
        "llm_role": null,
        "matched_chosen_role": true,
        "role_dimension_saved": false,
        "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": false,
        "skill_id": 145,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
        "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,
        "role_dimension_saved": false,
        "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": false,
        "skill_id": 153,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
        "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,
        "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": false,
        "skill_id": 153,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
        "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,
        "role_dimension_saved": false,
        "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": false,
        "skill_id": 158,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
        "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,
        "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": false,
        "skill_id": 1250,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
        "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,
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Automation Tester",
            "id": 16,
            "rationale": null,
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            "slug": "automation-tester",
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          }
        ],
        "skill_dimension_saved": false,
        "skill_id": 1249,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Observability and Alerting",
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          "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.",
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          "source": "db"
        },
        "dimension_id": 27,
        "input_skill": "Prometheus",
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        "matched_chosen_role": true,
        "role_dimension_saved": false,
        "roles_from_db": [
          {
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        ],
        "skill_dimension_saved": false,
        "skill_id": 168,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
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        },
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        "input_skill": "Prometheus",
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        "roles_from_db": [
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            "display_name": "Backend Engineer",
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          }
        ],
        "skill_dimension_saved": false,
        "skill_id": 168,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
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        "dimension": {
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        },
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        "input_skill": "Grafana",
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        "roles_from_db": [
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          }
        ],
        "skill_dimension_saved": false,
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        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
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        "input_skill": "Grafana",
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        "roles_from_db": [
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          }
        ],
        "skill_dimension_saved": false,
        "skill_id": 169,
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        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      },
      {
        "chosen_role_id": 1,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Service Networking and Traffic Control",
          "id": 32,
          "rationale": "Manages how traffic reaches services during deployment and runtime, including routing, load balancing, and ingress behavior. This is a distinct operational cluster because release safety often depends on traffic shaping.",
          "slug": "service-networking-and-traffic-control",
          "source": "db"
        },
        "dimension_id": 32,
        "input_skill": "Load Balancers",
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        "matched_chosen_role": true,
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
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            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": 193,
        "skill_tag": "in_db",
        "skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 api3_writes_enabled=False (writes disabled)"
      }
    ],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 19
  },
  "planner_output": null,
  "run_id": "1b48fc27-bd0a-47c8-8093-3baaa29f652c"
}

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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