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Pipeline run

bdad4b5f-1016-4850-ba2c-5c32f4ed062e

Pipeline LLM cost (USD)
API 1: $0.0096 API 2: $0.0002 API 3: $0.0000 Total: $0.0098

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · production reliability / observability
Drive Azure Core Compute reliability by building observability, automation, and architectural improvements; write clean, scalable designs/code and mentor engineers on diagnostics, documentation, and training.
""Drive reliability throughout the Azure Core Compute platform through observability, informed architectural improvements, and automation.""
Tech stack maturity
Mainstream Modern
An SRE role focused on Azure and observability typically aligns with widely adopted cloud operations practices and mainstream modern infrastructure tooling.
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 (6)
Azure Azure Core Compute Observability Automation Documentation Training
Skill cluster (2 dimension groups, role-scoped)
Cloud Provider Platforms
Azure
Cross-cutting / unaligned
Azure Core Compute Observability Automation Documentation Training
Show KRA description ↓
The scale of our operations is enormous. Microsoft's products and services are overwhelmingly consumed online, and billions of people use them every day. We need people who enjoy analyzing complicated problems, coming up with creative solutions, working in focused teams to build things no-one has thought of before, all in the service of production reliability. We would like to talk to you if you are looking for role around below themes: Drive reliability throughout the Azure Core Compute platform through observability, informed architectural improvements, and automation. Develop clean and thorough designs and code that exemplify quality, simplicity, and maintainability with global scalability. Embody the Microsoft Leadership Principles by creating clarity, generating energy, and ultimately delivering success of the right outcomes from ideation to implemented solution. Mentor and teach engineers across Azure to improve visibility, use of tools to diagnose, and scale learnings through improved documentation and training. Encourage a culture of observability and provide technical leadership to implement and scale observability across Azure.

Signals

Skill cloud-architect
0.50
Alias site-reliability-engineer-sre
1.00
KRA cloud-architect
0.50

Post-classification

Centroidupdated · n=7
Alias collision log
New-role queue
New skills captured4
New KRA capturedyes

Captured for admin review

Azure Core Compute primary Site Reliability Engineer (SRE) pending
Automation primary Site Reliability Engineer (SRE) pending
Documentation Site Reliability Engineer (SRE) pending
Training Site Reliability Engineer (SRE) pending
R&R fragment (sim 0.00) Site Reliability Engineer (SRE) pending

The scale of our operations is enormous. Microsoft's products and services are overwhelmingly consumed online, and billions of people use them every day. We need people who enjoy analyzing complicated…

Status: completed Created: 2026-05-27T17:36:47.665293Z Updated: 2026-05-27T17:37:37.292364Z API 3 duration: 3764 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

Site Reliability Engineer (SRE)

Cloud Reliability Engineer

sub-role · 0.98 domain · DevOps & Platform CASE DOMAIN

slug: site-reliability-engineer-sre · id: 134 · source: db · sub-role slug: cloud-reliability-engineer

Domain=DevOps & Platform → sub-role cloud-reliability-engineer; The JD centers on production reliability, observability, automation, and technical leadership for Azure infrastructure, which best matches SRE responsibilities.

Matched skills

observabilityautomationAzure Core Computeglobal scalabilitydocumentationtraining

Matched dimensions

Reliability EngineeringObservability EnablementArchitectural ImprovementAutomation and ToolingTechnical LeadershipMentoring and Enablement

Matched KRAs

Drive reliability throughout the Azure Core Compute platformDevelop clean and thorough designs and codeImplement and scale observability across AzureMentor and teach engineers across AzureImprove visibility and use of tools to diagnoseScale learnings through improved documentation and training

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

We are Azure - the world's computer powering from the intelligent cloud to the intelligent edge. The enormity of this charter is hard to overstate and we're just getting started. And as our aspirations grow, so then does our responsibility. Customers around the world depend on us and place their trust in us to deliver the services they need to work, every day. To make this work for our growing customer base, we need continual effort to make Azure highly reliable. Join a growing team, owning reliability of Azure, one of the largest public cloud. Our SRE team, represents a deep investment in improving the availability, reliability, operations efficiency, and release velocity of Azure services. We build solutions to ease the path to build, manage and operate large-scale, massively distributed, fault-tolerant systems.

In this role you will be a technical lead for the Azure SRE team focusing on the reliability of the Compute Platform (CPlat) both in the service itself as well as the 1st party users of core compute products like VMs, VMSS, Cloud Services etc. You will work closely with the Core Compute team to provide solutions which improve their overall quality and reliability. You will write software and help SRE direction to build observability into the core components and architectural constructs which helps in not only improving overall quality of these offerings but also helps in operating these products at HyperScale.

Our team has a wide variety of backgrounds including Computer Science, Mathematics, Engineering, Physics, and Psychology. Our diversity of knowledge and experience comes together for the benefit of our billions of daily Azure users, our business, our colleagues, and ourselves. We strongly believe that diverse experiences, backgrounds, and an environment where everyone can feel safe to contribute their own insights in a data-driven, objective, and supportive way is the key to making the best workplace possible, and the best workplace makes the best products and services. Not only is it the smart thing, but it is also the right thing.

If you are excited by this type of challenge, and you love to work in groups of people who are similarly excited, come join us! We value the input of people who aren’t afraid to be learning all the time and embrace mistakes as they show the way forward to continuously improve both services and themselves.

Responsibilities

Responsibilities: 

The scale of our operations is enormous. Microsoft's products and services are overwhelmingly consumed online, and billions of people use them every day. We need people who enjoy analyzing complicated problems, coming up with creative solutions, working in focused teams to build things no-one has thought of before, all in the service of production reliability.

We would like to talk to you if you are looking for role around below themes:
Drive reliability throughout the Azure Core Compute platform through observability, informed architectural improvements, and automation. Develop clean and thorough designs and code that exemplify quality, simplicity, and maintainability with global scalability. Embody the Microsoft Leadership Principles by creating clarity, generating energy, and ultimately delivering success of the right outcomes from ideation to implemented solution. Mentor and teach engineers across Azure to improve visibility, use of tools to diagnose, and scale learnings through improved documentation and training. Encourage a culture of observability and provide technical leadership to implement and scale observability across Azure.

Qualifications

Required Qualifications: 
Background in Computer Science equivalent to a B.Sc.2+ years of experience using scripting languages such as Bash, Python, and PowerShell, or complied language such as Go, C#, or .Net 4+ years of software development experience in design, build, or implementation of online services preferable in one of the public clouds (Azure, AWS, GCP) 

Preferred Qualifications: Create a list qualifications / skill that could be beneficial to this role, but are not required
Awareness of, and ability to reason about, modern software & systems architectures, including load-balancing, queueing, caching, distributed systems failure modes generally, microservices, and so on.1+ years of design, build, or implementation of distributed service health - Specifically desired is a deep understanding and familiarity with MELT (Monitoring, Events, Logging, Tracing) design and implementation patters for large-scale distributed services. Previous experience as a technical lead that can drive engineering solutions. Aspire to grow as a person, as a teammate, and as an engineer. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Skills from this JD

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

Azure Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Azure id=188 · azure

Aliases — catalog

  • Azure (CANONICAL) primary

Context tags (catalog)

AKS ARM templates App Service Azure AD Azure Active Directory Azure App Service Azure Blob Azure Blob Storage Azure Cognitive Services Azure Cosmos DB Azure DevOps Azure DevTest Labs Azure Functions Azure Kubernetes Service Azure Logic Apps Azure Monitor Azure Networking Azure Resource Manager Azure SQL Azure SQL Database Azure Security Center Azure Storage Azure Storage Explorer Azure Virtual Machines Bicep Blob Storage Cloud Services Cosmos DB Entra ID Functions Infrastructure as Code Key Vault Log Analytics Logic Apps Resource Groups Serverless Computing Service Bus Storage Account Terraform Virtual Machines

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Cloud Platform
Vendor
Microsoft
License
proprietary
Year introduced
2010
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Azure is broadly adopted and frequently appears in cloud/platform job descriptions alongside AWS and GCP; Microsoft’s ongoing enterprise investment and Azure certification demand signal strong hiring-pipeline relevance.

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

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

  • Cloud Platforms & Managed Services Catalog dimension db id 221

    Library dimension (catalog)

    Roles linked in library: Fullstack Developer, Go Backend Developer, Node.js Backend Developer

  • Cloud Platforms for AI Deployment Catalog dimension db id 211

    Library dimension (catalog)

    Roles linked in library: AI Engineer

  • Cloud Provider Platforms Catalog dimension db id 131

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, Cloud Security Engineer

  • Cloud Security Posture Tools Catalog dimension db id 64

    Library dimension (catalog)

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

  • Vendor Product Families Catalog dimension db id 477

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Platforms & Managed Services
cloud-platforms-managed-services
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure Core Compute Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Observability Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Observability id=1581 · observability

Aliases — catalog

  • Observability (CANONICAL)

Context tags (catalog)

Grafana OpenTelemetry Prometheus SLIs SLOs alerting dashboards data visualization distributed systems logging metrics monitoring observability tools root cause analysis tracing

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Observability
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: Observability is broadly listed in SRE/DevOps job descriptions and supported by major vendors like Datadog, Grafana, and New Relic, indicating mainstream hiring demand.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1187
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Observability and Operations Catalog dimension db id 143

    Library dimension (catalog)

    Roles linked in library: Cloud Architect

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Observability and Operations
observability-and-operations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Automation Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

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

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Soft Skills
Sub-category
general
Skill nature
PRACTICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Training Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Soft Skills
Sub-category
general
Skill nature
PRACTICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED

All API 3 persistence rows

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

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
Azure in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Cloud Platforms & Managed Services
cloud-platforms-managed-services
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure in_db
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Observability in_db
Observability and Operations
observability-and-operations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Azure Core Compute | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Automation | type=Soft Skills subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Documentation | type=Soft Skills subtype=general nature=PRACTICE lifespan=EVERGREEN
canonical_skill_proposed Training | type=Soft Skills subtype=general nature=PRACTICE lifespan=EVERGREEN
nano JD Parser — gpt-4.1-nano click to toggle
RoleTechnical Lead - Azure SRE
CompanyMicrosoft
Experience2+ years of experience using scripting languages such as Bash, Python, and PowerShell, or complied language such as Go, C#, or .Net
DomainIT Services & Consulting
JD type pass
Show raw JSON
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API 1 — extract-from-jd click to toggle
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            "similarity": 0.4045
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 15,
        "score": 0.4409,
        "slug": "full-stack-engineer",
        "total_count": null
      }
    ],
    "skill_match_roles": [
      {
        "display_name": "Cloud Architect",
        "kra_matches": null,
        "matched_count": 2,
        "matched_skills": [
          "Azure",
          "Observability"
        ],
        "role_id": 9,
        "score": 0.5,
        "slug": "cloud-architect",
        "total_count": 4
      },
      {
        "display_name": "ML Engineer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "Azure"
        ],
        "role_id": 3,
        "score": 0.25,
        "slug": "ml-engineer",
        "total_count": 4
      },
      {
        "display_name": "Cyber Security Engineer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "Azure"
        ],
        "role_id": 5,
        "score": 0.25,
        "slug": "cybersecurity-engineer",
        "total_count": 4
      },
      {
        "display_name": "Data Engineer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "Azure"
        ],
        "role_id": 2,
        "score": 0.25,
        "slug": "data-engineer",
        "total_count": 4
      },
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "Azure"
        ],
        "role_id": 1,
        "score": 0.25,
        "slug": "backend-engineer",
        "total_count": 4
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "DOMAIN",
    "chosen_role": {
      "display_name": "Site Reliability Engineer (SRE)",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": 134,
      "score": 0.95,
      "slug": "site-reliability-engineer-sre",
      "total_count": null
    },
    "confidence": 0.95,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [
      "Reliability Engineering",
      "Observability Enablement",
      "Architectural Improvement",
      "Automation and Tooling",
      "Technical Leadership",
      "Mentoring and Enablement"
    ],
    "matched_kras": [
      "Drive reliability throughout the Azure Core Compute platform",
      "Develop clean and thorough designs and code",
      "Implement and scale observability across Azure",
      "Mentor and teach engineers across Azure",
      "Improve visibility and use of tools to diagnose",
      "Scale learnings through improved documentation and training"
    ],
    "matched_skills": [
      "observability",
      "automation",
      "Azure Core Compute",
      "global scalability",
      "documentation",
      "training"
    ],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Domain=DevOps \u0026 Platform \u2192 sub-role cloud-reliability-engineer; The JD centers on production reliability, observability, automation, and technical leadership for Azure infrastructure, which best matches SRE responsibilities.",
    "sub_role": {
      "confidence": 0.98,
      "display_name": "Cloud Reliability Engineer",
      "reasoning": "The role is explicitly Azure SRE focused on the Azure Core Compute platform, with reliability, observability, and automation across a cloud platform, which best matches cloud-reliability-engineer.",
      "role_id": 385,
      "slug": "cloud-reliability-engineer"
    }
  },
  "stage5_updates": {
    "centroid_n_after": 7,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": {
      "best_kra_similarity": 0.0,
      "queue_id": 1872,
      "r_and_r_preview": "The scale of our operations is enormous. Microsoft\u0027s products and services are overwhelmingly consumed online, and billions of people use them every day. We need people who enjoy analyzing complicated",
      "role_display_name": "Site Reliability Engineer (SRE)",
      "role_slug": "site-reliability-engineer-sre",
      "status": "pending"
    },
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 24431,
        "role_display_name": "Site Reliability Engineer (SRE)",
        "role_slug": "site-reliability-engineer-sre",
        "skill_name": "Azure Core Compute",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 24432,
        "role_display_name": "Site Reliability Engineer (SRE)",
        "role_slug": "site-reliability-engineer-sre",
        "skill_name": "Automation",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 24433,
        "role_display_name": "Site Reliability Engineer (SRE)",
        "role_slug": "site-reliability-engineer-sre",
        "skill_name": "Documentation",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 24434,
        "role_display_name": "Site Reliability Engineer (SRE)",
        "role_slug": "site-reliability-engineer-sre",
        "skill_name": "Training",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
{
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    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 407,
      "existing_alias_text": "Azure",
      "input_term": "Azure",
      "matched_canonical": {
        "category_id": 9,
        "display_name": "Azure",
        "id": 188,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "azure",
        "sub_category_id": 46,
        "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": 2527,
      "existing_alias_text": "Observability",
      "input_term": "Observability",
      "matched_canonical": {
        "category_id": 2,
        "display_name": "Observability",
        "id": 1581,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "observability",
        "sub_category_id": 1187,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    }
  ],
  "candidate_roles": [
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      "display_name": ".NET Backend Developer",
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      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "dotnet-backend-developer",
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    },
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      "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
      "slug": "backend-engineer",
      "source": "db"
    },
    {
      "display_name": "Cyber Security Engineer",
      "id": 5,
      "rationale": null,
      "role_archetype": null,
      "slug": "cybersecurity-engineer",
      "source": "db"
    },
    {
      "display_name": "Data Engineer",
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      "rationale": null,
      "role_archetype": null,
      "slug": "data-engineer",
      "source": "db"
    },
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      "display_name": "DevOps Engineer",
      "id": 10,
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      "role_archetype": null,
      "slug": "devops-engineer",
      "source": "db"
    },
    {
      "display_name": "Fullstack Developer",
      "id": 15,
      "rationale": null,
      "role_archetype": null,
      "slug": "full-stack-engineer",
      "source": "db"
    },
    {
      "display_name": "Go Backend Developer",
      "id": 81,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "go-backend-developer",
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    },
    {
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      "id": 79,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "java-backend-developer",
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    {
      "display_name": "Kotlin Backend Developer",
      "id": 84,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "kotlin-server-backend-developer",
      "source": "db"
    },
    {
      "display_name": "ML Engineer",
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      "slug": "ml-engineer",
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    },
    {
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      "rationale": null,
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      "slug": "ml-ops-engineer",
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    },
    {
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      "id": 82,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "node-backend-developer",
      "source": "db"
    },
    {
      "display_name": "Python Backend Developer",
      "id": 80,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "python-backend-developer",
      "source": "db"
    },
    {
      "display_name": "Scala Backend Developer",
      "id": 87,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "scala-backend-developer",
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    },
    {
      "display_name": "AI Engineer",
      "id": 13,
      "rationale": null,
      "role_archetype": null,
      "slug": "ai-engineer",
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    },
    {
      "display_name": "Cloud Architect",
      "id": 9,
      "rationale": null,
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      "slug": "cloud-architect",
      "source": "db"
    },
    {
      "display_name": "Cloud Security Engineer",
      "id": 23,
      "rationale": null,
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      "slug": "cloud-security-engineer",
      "source": "db"
    },
    {
      "display_name": "Engineering Manager",
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      "rationale": null,
      "role_archetype": null,
      "slug": "engineering-manager",
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  ],
  "chosen_role": {
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    "rationale": "Domain=DevOps \u0026 Platform \u2192 sub-role cloud-reliability-engineer; The JD centers on production reliability, observability, automation, and technical leadership for Azure infrastructure, which best matches SRE responsibilities.",
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    "slug": "site-reliability-engineer-sre",
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  "dimensions": [
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        "difficulty_hint": "well_known",
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        "rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
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      },
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        {
          "display_name": ".NET Backend Developer",
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        },
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          "slug": "ml-engineer",
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        },
        {
          "display_name": "MLOps Engineer",
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        {
          "display_name": "Node.js Backend Developer",
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        },
        {
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        },
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      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Platforms \u0026 Managed Services",
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        "rationale": "Operates and integrates vendor-specific cloud compute, storage, and hosting services.",
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        "source": "db"
      },
      "input_skill": "Azure",
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      "roles_from_db": [
        {
          "display_name": "Fullstack Developer",
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      ]
    },
    {
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      ]
    },
    {
      "dimension": {
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        "rationale": "Major cloud platforms and their core service ecosystems used to design target-state architectures, choose deployment boundaries, and evaluate managed capabilities. This is the primary substrate for cloud architecture decisions.",
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    },
    {
      "dimension": {
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        "rationale": "Cloud-native security platforms used to assess misconfiguration, workload exposure, and cloud control coverage. This dimension includes the major CNAPP/CSPM/CWPP vendors and cloud security services the role reviews and tunes.",
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        "source": "db"
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      "input_skill": "Azure",
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    },
    {
      "dimension": {
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        "rationale": "Coordinate usage, licensing, and architecture decisions for major vendor software and cloud product families.",
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        "source": "db"
      },
      "input_skill": "Azure",
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    },
    {
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  ],
  "input_final_skills": [
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  "new_aliases_persisted": 0,
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      ],
      "canonical": {
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              "role_archetype": "Engineering",
              "slug": "kotlin-server-backend-developer",
              "source": "db"
            },
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            },
            {
              "display_name": "MLOps Engineer",
              "id": 16,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-ops-engineer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Platforms \u0026 Managed Services",
            "id": 221,
            "rationale": "Operates and integrates vendor-specific cloud compute, storage, and hosting services.",
            "slug": "cloud-platforms-managed-services",
            "source": "db"
          },
          "input_skill": "Azure",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Fullstack Developer",
              "id": 15,
              "rationale": null,
              "role_archetype": null,
              "slug": "full-stack-engineer",
              "source": "db"
            },
            {
              "display_name": "Go Backend Developer",
              "id": 81,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "go-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Platforms for AI Deployment",
            "id": 211,
            "rationale": "Major cloud services that provide infrastructure and managed services for AI workloads.",
            "slug": "cloud-platforms-for-ai-deployment",
            "source": "db"
          },
          "input_skill": "Azure",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "AI Engineer",
              "id": 13,
              "rationale": null,
              "role_archetype": null,
              "slug": "ai-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Provider Platforms",
            "id": 131,
            "rationale": "Major cloud platforms and their core service ecosystems used to design target-state architectures, choose deployment boundaries, and evaluate managed capabilities. This is the primary substrate for cloud architecture decisions.",
            "slug": "cloud-provider-platforms",
            "source": "db"
          },
          "input_skill": "Azure",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            },
            {
              "display_name": "Cloud Security Engineer",
              "id": 23,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-security-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Security Posture Tools",
            "id": 64,
            "rationale": "Cloud-native security platforms used to assess misconfiguration, workload exposure, and cloud control coverage. This dimension includes the major CNAPP/CSPM/CWPP vendors and cloud security services the role reviews and tunes.",
            "slug": "cloud-security-posture-tools",
            "source": "db"
          },
          "input_skill": "Azure",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Security Engineer",
              "id": 23,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-security-engineer",
              "source": "db"
            },
            {
              "display_name": "Cyber Security Engineer",
              "id": 5,
              "rationale": null,
              "role_archetype": null,
              "slug": "cybersecurity-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Vendor Product Families",
            "id": 477,
            "rationale": "Coordinate usage, licensing, and architecture decisions for major vendor software and cloud product families.",
            "slug": "vendor-product-families",
            "source": "db"
          },
          "input_skill": "Azure",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Engineering Manager",
              "id": 121,
              "rationale": null,
              "role_archetype": null,
              "slug": "engineering-manager",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Azure",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Azure Core Compute",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Cloud Platforms",
          "skill_nature": "PLATFORM",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "azure-core-compute",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Observability",
          "alias_type": "CANONICAL",
          "id": 2527,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "Observability",
        "id": 1581,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "observability",
        "sub_category_id": 1187,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Observability and Operations",
            "id": 143,
            "rationale": "Monitoring, logging, tracing, and operational readiness patterns used to keep cloud platforms supportable. Cloud Architects use this to define what telemetry and operational controls workloads must expose.",
            "slug": "observability-and-operations",
            "source": "db"
          },
          "input_skill": "Observability",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Observability",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Automation",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Soft Skills",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "automation",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Documentation",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Soft Skills",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "documentation",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Training",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Soft Skills",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "training",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Azure Core Compute",
    "Automation",
    "Documentation",
    "Training"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Site Reliability Engineer (SRE)",
    "id": 134,
    "rationale": "Domain=DevOps \u0026 Platform \u2192 sub-role cloud-reliability-engineer; The JD centers on production reliability, observability, automation, and technical leadership for Azure infrastructure, which best matches SRE responsibilities.",
    "role_archetype": null,
    "slug": "site-reliability-engineer-sre",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Azure",
      "tag": "in_db"
    },
    {
      "skill": "Azure Core Compute",
      "tag": "new"
    },
    {
      "skill": "Observability",
      "tag": "in_db"
    },
    {
      "skill": "Automation",
      "tag": "new"
    },
    {
      "skill": "Documentation",
      "tag": "new"
    },
    {
      "skill": "Training",
      "tag": "new"
    }
  ],
  "llm_cost_api1_usd": null,
  "llm_cost_api2_usd": null,
  "llm_cost_api3_usd": null,
  "llm_cost_total_usd": null,
  "persistence": {
    "items": [
      {
        "chosen_role_id": 134,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Platforms",
          "id": 20,
          "rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
          "slug": "cloud-platforms",
          "source": "db"
        },
        "dimension_id": 20,
        "input_skill": "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": ".NET Backend Developer",
            "id": 83,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "dotnet-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Backend Developer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
            "slug": "backend-engineer",
            "source": "db"
          },
          {
            "display_name": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          },
          {
            "display_name": "Data Engineer",
            "id": 2,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-engineer",
            "source": "db"
          },
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          },
          {
            "display_name": "Go Backend Developer",
            "id": 81,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "go-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Java Backend Developer",
            "id": 79,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "java-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Kotlin Backend Developer",
            "id": 84,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "kotlin-server-backend-developer",
            "source": "db"
          },
          {
            "display_name": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          },
          {
            "display_name": "MLOps Engineer",
            "id": 16,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-ops-engineer",
            "source": "db"
          },
          {
            "display_name": "Node.js Backend Developer",
            "id": 82,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "node-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Python Backend Developer",
            "id": 80,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "python-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Scala Backend Developer",
            "id": 87,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "scala-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 188,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 134,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Platforms \u0026 Managed Services",
          "id": 221,
          "rationale": "Operates and integrates vendor-specific cloud compute, storage, and hosting services.",
          "slug": "cloud-platforms-managed-services",
          "source": "db"
        },
        "dimension_id": 221,
        "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": "Fullstack Developer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          },
          {
            "display_name": "Go Backend Developer",
            "id": 81,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "go-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Node.js Backend Developer",
            "id": 82,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "node-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 188,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 134,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Platforms for AI Deployment",
          "id": 211,
          "rationale": "Major cloud services that provide infrastructure and managed services for AI workloads.",
          "slug": "cloud-platforms-for-ai-deployment",
          "source": "db"
        },
        "dimension_id": 211,
        "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": "AI Engineer",
            "id": 13,
            "rationale": null,
            "role_archetype": null,
            "slug": "ai-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 188,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 134,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Provider Platforms",
          "id": 131,
          "rationale": "Major cloud platforms and their core service ecosystems used to design target-state architectures, choose deployment boundaries, and evaluate managed capabilities. This is the primary substrate for cloud architecture decisions.",
          "slug": "cloud-provider-platforms",
          "source": "db"
        },
        "dimension_id": 131,
        "input_skill": "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": "Cloud Architect",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-architect",
            "source": "db"
          },
          {
            "display_name": "Cloud Security Engineer",
            "id": 23,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-security-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 188,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 134,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Security Posture Tools",
          "id": 64,
          "rationale": "Cloud-native security platforms used to assess misconfiguration, workload exposure, and cloud control coverage. This dimension includes the major CNAPP/CSPM/CWPP vendors and cloud security services the role reviews and tunes.",
          "slug": "cloud-security-posture-tools",
          "source": "db"
        },
        "dimension_id": 64,
        "input_skill": "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": "Cloud Security Engineer",
            "id": 23,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-security-engineer",
            "source": "db"
          },
          {
            "display_name": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 188,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 134,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Vendor Product Families",
          "id": 477,
          "rationale": "Coordinate usage, licensing, and architecture decisions for major vendor software and cloud product families.",
          "slug": "vendor-product-families",
          "source": "db"
        },
        "dimension_id": 477,
        "input_skill": "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": "Engineering Manager",
            "id": 121,
            "rationale": null,
            "role_archetype": null,
            "slug": "engineering-manager",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 188,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 134,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Observability and Operations",
          "id": 143,
          "rationale": "Monitoring, logging, tracing, and operational readiness patterns used to keep cloud platforms supportable. Cloud Architects use this to define what telemetry and operational controls workloads must expose.",
          "slug": "observability-and-operations",
          "source": "db"
        },
        "dimension_id": 143,
        "input_skill": "Observability",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cloud Architect",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-architect",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1581,
        "skill_tag": "in_db",
        "skipped_reason": null
      }
    ],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 0
  },
  "planner_output": null,
  "run_id": "bdad4b5f-1016-4850-ba2c-5c32f4ed062e"
}