Pipeline run
02edca94-61a1-4828-bde2-ed8d5667d217
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionvocab breakdown (legacy)
Signals
Post-classification
Captured for admin review
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Cyber Security Engineer
CASE Aslug: cybersecurity-engineer · id: 5 · source: db
Exact alias hit on cybersecurity-engineer (1.0) — no other alias at this confidence; skill_top absent does not contradict
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
Job description
Job Description Play a vital role in shaping the future of an iconic company and make a direct impact in a dynamic environment designed for top achievers. As a Senior Lead Cybersecurity Architect at JPMorgan Chase within the Cybersecurity & Tech Controls team, you are an integral part of a team that works to develop high-quality cybersecurity solutions for various software applications and platform products. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains. Job Responsibilities • Guides the evaluation of current cybersecurity principals, processes, and controls, and leads the evaluation of new technology using existing standards and frameworks • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors • Works with stakeholders and senior leaders to recommend business modifications during periods of vulnerability • Serves as function-wide subject matter expert in one or more areas of focus • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle • Influences peers and project decision-makers to consider the use and application of leading-edge technologies Required Qualifications, Capabilities, And Skills • Formal training or certification on cybersecurity concepts and 5+ years applied experience • Hands-on practical experience delivering enterprise level cybersecurity solutions and controls • Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.) • Ability to tackle design and functionality problems independently with little to no oversight • Practical cloud native experience • Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture • Ability to read and interpret complicated architecture diagrams Preferred Qualifications, Capabilities, And Skills • Knowledge of threat modeling • Familiar with DevSecOps, AI pipeline • Familiar with LLM/GenAI design
Skills from this JD
Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Security Tools
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Version strategy
- UNVERSIONED
Aliases — catalog
- DevOps (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Methodology
- Sub-category
- Devops Methodology
- Confidence
- 0.97
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: DevOps appears in a large share of software and platform engineering job descriptions, often alongside CI/CD, Kubernetes, and cloud tooling; it is a standard hiring-pipeline keyword rather than a niche specialty.
Skill profile (library / DB)
- Skill nature
- METHODOLOGY
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 8
- Sub-category id
- 922
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
CI/CD Pipeline Platforms Catalog dimension db id 150
Library dimension (catalog)
Roles linked in library: DevOps Engineer
-
Deployment and Release Patterns Catalog dimension db id 140
Library dimension (catalog)
Roles linked in library: Cloud Architect
-
Infrastructure as Code Catalog dimension db id 132
Library dimension (catalog)
Roles linked in library: Cloud Architect, DevOps Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
|
— | — |
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
|
|
Deployment and Release Patterns
deployment-and-release-patterns
|
— | — |
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
|
|
Infrastructure as Code
infrastructure-as-code
|
— | — |
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
|
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Machine Learning Frameworks
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- Machine Learning (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Concept
- Sub-category
- Machine Learning
- Confidence
- 0.98
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Machine Learning appears in large volumes of job descriptions across data, product, and platform roles, and major cloud vendors (AWS, Google Cloud, Azure) offer dedicated ML services and certifications, indicating broad adoption.
Skill profile (library / DB)
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 2
- Sub-category id
- 1024
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
AI Governance and Model Security Catalog dimension db id 50
Library dimension (catalog)
Roles linked in library: AI Engineer, ML Engineer, MLOps Engineer
-
React Frontend Development Catalog dimension db id 96
Library dimension (catalog)
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
AI Governance and Model Security
ai-governance-and-model-security
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Aliases — catalog
- Artificial Intelligence (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Concept
- Sub-category
- Artificial Intelligence
- Confidence
- 0.98
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: AI appears in a large and growing share of job descriptions across software, data, and product roles, and major vendors (Microsoft, Google, AWS) have standardized AI offerings, signaling broad market adoption.
Skill profile (library / DB)
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 2
- Sub-category id
- 1020
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
React Frontend Development Catalog dimension db id 96
Library dimension (catalog)
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- DevOps Tools
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Cloud Platforms
- Sub-category
- general
- Skill nature
- PLATFORM
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- threat modeling (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Methodology
- Sub-category
- Threat Modeling Process
- Confidence
- 0.98
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Commonly requested in security/architecture JDs and supported by Microsoft SDL, OWASP, and STRIDE/PASTA training; market signal shows it as a standard secure-design practice rather than a niche tool.
Skill profile (library / DB)
- Skill nature
- METHODOLOGY
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 8
- Sub-category id
- 1367
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Threat Modeling and Risk Analysis Catalog dimension db id 76
Library dimension (catalog)
Roles linked in library: Cloud Security Engineer, Cyber Security Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Threat Modeling and Risk Analysis
threat-modeling-and-risk-analysis
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved |
Aliases — catalog
- LLMs (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Concept
- Sub-category
- Large Language Models
- Confidence
- 0.96
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: LLMs are increasingly listed in job descriptions for AI/ML and product roles, and major vendors (OpenAI, Anthropic, Google) are shipping APIs and platforms, but they are not yet universal across engineering hiring.
Skill profile (library / DB)
- Skill nature
- CONCEPT
- Volatility
- EMERGING
- Typical lifespan
- EVERGREEN
- Category id
- 2
- Sub-category id
- 903
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
React Frontend Development Catalog dimension db id 96
Library dimension (catalog)
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
React Frontend Development
d_init_01
|
— | — |
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
|
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Machine Learning Frameworks
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- FAST
- Typical lifespan
- SHORT_LIVED
- Version strategy
- VERSIONED
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 |
|---|---|---|---|---|---|---|
| DevSecOps | new |
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
|
— | — | Skipped — no persistable v3 meta for new skill | skill_not_in_db_v3_proposed |
| DevSecOps | new |
Deployment and Release Patterns
deployment-and-release-patterns
|
— | — | Skipped — no persistable v3 meta for new skill | skill_not_in_db_v3_proposed |
| DevSecOps | new |
Infrastructure as Code
infrastructure-as-code
|
— | — | Skipped — no persistable v3 meta for new skill | skill_not_in_db_v3_proposed |
| Machine Learning | in_db |
AI Governance and Model Security
ai-governance-and-model-security
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Machine Learning | in_db |
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Artificial Intelligence | in_db |
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Threat Modeling | in_db |
Threat Modeling and Risk Analysis
threat-modeling-and-risk-analysis
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved | |
| LLM | new |
React Frontend Development
d_init_01
|
— | — | Skipped — no persistable v3 meta for new skill | skill_not_in_db_v3_proposed |
Library artifacts (this run)
| Kind | Detail | DB id |
|---|---|---|
| canonical_skill_proposed | Cybersecurity | type=Security Tools subtype=general nature=CONCEPT lifespan=EVERGREEN | |
| canonical_skill_proposed | AI pipeline | type=Machine Learning Frameworks subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Cloud Native | type=DevOps Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Public Cloud | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR | |
| canonical_skill_proposed | GenAI | type=Machine Learning Frameworks subtype=general nature=CONCEPT lifespan=SHORT_LIVED | |
| dimension_skill_link_proposed | DevSecOps ↔ CI/CD Pipeline Platforms | |
| dimension_skill_link_proposed | DevSecOps ↔ Deployment and Release Patterns | |
| dimension_skill_link_proposed | DevSecOps ↔ Infrastructure as Code | |
| dimension_skill_link_proposed | LLM ↔ React Frontend Development |
nano JD Parser — gpt-4.1-nano click to toggle
Certifications
Show raw JSON
{
"JD_type": "pass",
"about_company": null,
"certifications": [
"Formal training or certification on cybersecurity concepts"
],
"company_name": "JPMorgan Chase",
"ctc": null,
"domain": {
"primary": {
"aliases": [
"FinTech",
"Banking"
],
"domain": "Financial Services"
},
"secondary": null
},
"education": [],
"experience": {
"max": null,
"min": 5,
"raw": "5+ years applied experience"
},
"job_locations": [],
"role": "Senior Lead Cybersecurity Architect",
"role_aliases": [
"Cybersecurity Architect",
"Lead Cybersecurity Architect",
"Cybersecurity Engineer"
],
"role_archetype": "Security",
"roles_and_responsibilities": [
{
"bullet_count": 6,
"heading": "Job Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Guides the evaluation of",
"last_5_words": "use and application of leading-edge technologies"
},
"text": "\u2022 Guides the evaluation of current cybersecurity principals, processes, and controls, and leads the evaluation of new technology using existing standards and frameworks\n\u2022 Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors\n\u2022 Works with stakeholders and senior leaders to recommend business modifications during periods of vulnerability\n\u2022 Serves as function-wide subject matter expert in one or more areas of focus\n\u2022 Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle\n\u2022 Influences peers and project decision-makers to consider the use and application of leading-edge technologies",
"word_count": 90
},
{
"bullet_count": 7,
"heading": "Required Qualifications, Capabilities, And Skills",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Formal training or certification",
"last_5_words": "read and interpret complicated architecture diagrams"
},
"text": "\u2022 Formal training or certification on cybersecurity concepts and 5+ years applied experience\n\u2022 Hands-on practical experience delivering enterprise level cybersecurity solutions and controls\n\u2022 Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.)\n\u2022 Ability to tackle design and functionality problems independently with little to no oversight\n\u2022 Practical cloud native experience\n\u2022 Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture\n\u2022 Ability to read and interpret complicated architecture diagrams",
"word_count": 104
},
{
"bullet_count": 3,
"heading": "Preferred Qualifications, Capabilities, And Skills",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Knowledge of threat modeling",
"last_5_words": "Familiar with LLM/GenAI design"
},
"text": "\u2022 Knowledge of threat modeling\n\u2022 Familiar with DevSecOps, AI pipeline\n\u2022 Familiar with LLM/GenAI design",
"word_count": 22
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "Cybersecurity"
},
{
"is_primary": true,
"skill_name": "DevSecOps"
},
{
"is_primary": false,
"skill_name": "AI pipeline"
},
{
"is_primary": false,
"skill_name": "Machine Learning"
},
{
"is_primary": false,
"skill_name": "Artificial Intelligence"
},
{
"is_primary": false,
"skill_name": "Cloud Native"
},
{
"is_primary": false,
"skill_name": "Public Cloud"
},
{
"is_primary": false,
"skill_name": "Threat Modeling"
},
{
"is_primary": false,
"skill_name": "LLM"
},
{
"is_primary": false,
"skill_name": "GenAI"
}
],
"jd_role": {
"display_name": "Senior Lead Cybersecurity Architect",
"rationale": null,
"role_aliases": [
"Cybersecurity Architect",
"Lead Cybersecurity Architect",
"Cybersecurity Engineer"
],
"role_archetype": "Security",
"slug": ""
},
"nano_parsed": {
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"about_company": null,
"certifications": [
"Formal training or certification on cybersecurity concepts"
],
"company_name": "JPMorgan Chase",
"ctc": null,
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"Banking"
],
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},
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},
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"role": "Senior Lead Cybersecurity Architect",
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"Lead Cybersecurity Architect",
"Cybersecurity Engineer"
],
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"roles_and_responsibilities": [
{
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"heading": "Job Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Guides the evaluation of",
"last_5_words": "use and application of leading-edge technologies"
},
"text": "\u2022 Guides the evaluation of current cybersecurity principals, processes, and controls, and leads the evaluation of new technology using existing standards and frameworks\n\u2022 Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors\n\u2022 Works with stakeholders and senior leaders to recommend business modifications during periods of vulnerability\n\u2022 Serves as function-wide subject matter expert in one or more areas of focus\n\u2022 Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle\n\u2022 Influences peers and project decision-makers to consider the use and application of leading-edge technologies",
"word_count": 90
},
{
"bullet_count": 7,
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"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Formal training or certification",
"last_5_words": "read and interpret complicated architecture diagrams"
},
"text": "\u2022 Formal training or certification on cybersecurity concepts and 5+ years applied experience\n\u2022 Hands-on practical experience delivering enterprise level cybersecurity solutions and controls\n\u2022 Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.)\n\u2022 Ability to tackle design and functionality problems independently with little to no oversight\n\u2022 Practical cloud native experience\n\u2022 Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture\n\u2022 Ability to read and interpret complicated architecture diagrams",
"word_count": 104
},
{
"bullet_count": 3,
"heading": "Preferred Qualifications, Capabilities, And Skills",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Knowledge of threat modeling",
"last_5_words": "Familiar with LLM/GenAI design"
},
"text": "\u2022 Knowledge of threat modeling\n\u2022 Familiar with DevSecOps, AI pipeline\n\u2022 Familiar with LLM/GenAI design",
"word_count": 22
}
],
"urls": []
},
"rejected": false,
"rejection_reason": null,
"run_id": "02edca94-61a1-4828-bde2-ed8d5667d217",
"stage3_signals": {
"alias_found": true,
"alias_match_roles": [
{
"display_name": "Cyber Security Engineer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 5,
"score": 1.0,
"slug": "cybersecurity-engineer",
"total_count": null
}
],
"kra_match_roles": [
{
"display_name": "Cyber Security Engineer",
"kra_matches": [
{
"kra_text": "Defines secure engineering standards, secure coding guidelines, threat intelligence feeds, and compliance requirements for the organization.",
"sentence": "Guides the evaluation of current cybersecurity principals, processes, and controls, and leads the evaluation of new technology using existing standards and frameworks",
"similarity": 0.5699
},
{
"kra_text": "Designs and implements security controls including SIEM integration, endpoint detection and response, identity management, and firewall rule management.",
"sentence": "Hands-on practical experience delivering enterprise level cybersecurity solutions and controls",
"similarity": 0.5552
},
{
"kra_text": "Performs threat modeling, security architecture reviews, and quantitative risk analysis for new product features and infrastructure changes.",
"sentence": "Works with stakeholders and senior leaders to recommend business modifications during periods of vulnerability",
"similarity": 0.486
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 5,
"score": 0.537,
"slug": "cybersecurity-engineer",
"total_count": null
},
{
"display_name": "Cloud Architect",
"kra_matches": [
{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
"sentence": "Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors",
"similarity": 0.5789
},
{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
"sentence": "Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture",
"similarity": 0.5109
},
{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
"sentence": "Guides the evaluation of current cybersecurity principals, processes, and controls, and leads the evaluation of new technology using existing standards and frameworks",
"similarity": 0.5002
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 9,
"score": 0.53,
"slug": "cloud-architect",
"total_count": null
},
{
"display_name": "Engineering Manager",
"kra_matches": [
{
"kra_text": "facilitate technical and delivery decisions",
"sentence": "Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors",
"similarity": 0.5714
},
{
"kra_text": "manage stakeholder alignment and tradeoffs",
"sentence": "Works with stakeholders and senior leaders to recommend business modifications during periods of vulnerability",
"similarity": 0.4954
},
{
"kra_text": "facilitate technical and delivery decisions",
"sentence": "Influences peers and project decision-makers to consider the use and application of leading-edge technologies",
"similarity": 0.4928
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 121,
"score": 0.5198,
"slug": "engineering-manager",
"total_count": null
},
{
"display_name": "Cloud Security Engineer",
"kra_matches": [
{
"kra_text": "Assesses security risk and compliance posture of new cloud services, third-party SaaS integrations, and infrastructure architecture changes.",
"sentence": "Guides the evaluation of current cybersecurity principals, processes, and controls, and leads the evaluation of new technology using existing standards and frameworks",
"similarity": 0.5453
},
{
"kra_text": "Designs and implements cloud security controls including KMS encryption, secrets management, and data-at-rest protection for AWS, Azure, or GCP workloads.",
"sentence": "Hands-on practical experience delivering enterprise level cybersecurity solutions and controls",
"similarity": 0.5142
},
{
"kra_text": "Documents cloud security standards, approved architecture patterns, security exceptions, and remediation guidance for engineering teams.",
"sentence": "Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g. , public cloud, artificial intelligence, machine learning, mobile, etc. )",
"similarity": 0.4833
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 23,
"score": 0.5142,
"slug": "cloud-security-engineer",
"total_count": null
},
{
"display_name": "DevOps Engineer",
"kra_matches": [
{
"kra_text": "Collaborates with development teams to improve build processes, reduce deployment friction, containerize applications, and adopt DevOps best practices.",
"sentence": "Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle",
"similarity": 0.5242
},
{
"kra_text": "Writes runbooks, deployment guides, incident playbooks, and infrastructure documentation to support operations and knowledge sharing.",
"sentence": "Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors",
"similarity": 0.4538
},
{
"kra_text": "Responds to deployment failures, infrastructure incidents, and environment misconfiguration issues to restore service availability and prevent recurrence.",
"sentence": "Works with stakeholders and senior leaders to recommend business modifications during periods of vulnerability",
"similarity": 0.4416
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 10,
"score": 0.4732,
"slug": "devops-engineer",
"total_count": null
}
],
"skill_match_roles": []
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "A",
"chosen_role": {
"display_name": "Cyber Security Engineer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 5,
"score": 1.0,
"slug": "cybersecurity-engineer",
"total_count": null
},
"confidence": 1.0,
"is_new_role": false,
"llm2_fired": false,
"llm2_reasoning": null,
"matched_dimensions": [],
"matched_kras": [],
"matched_skills": [],
"new_role_display_name": null,
"new_role_slug": null,
"queued": false,
"reasoning": "Exact alias hit on cybersecurity-engineer (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
"sub_role": null
},
"stage5_updates": {
"centroid_n_after": 12,
"centroid_updated": true,
"collision_log_id": null,
"new_kra_attached": null,
"new_skills_attached": [
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"is_primary": true,
"queue_id": 18031,
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},
{
"is_primary": true,
"queue_id": 18032,
"role_display_name": "Cyber Security Engineer",
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"status": "pending"
},
{
"is_primary": false,
"queue_id": 18033,
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},
{
"is_primary": false,
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},
{
"is_primary": false,
"queue_id": 18035,
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},
{
"is_primary": false,
"queue_id": 18036,
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},
{
"is_primary": false,
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}
],
"queue_entry_id": null,
"v3_pipeline_triggered": false,
"v3_role_slug": null,
"v3_run_id": null
}
}
API 2 — extract-details
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"matched_via": "embedding_alias"
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"is_extractable": true,
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"matched_via": "alias"
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{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
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"matched_via": "alias"
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{
"alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
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},
"input_skill": "Threat Modeling",
"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"
}
]
}
],
"input_skill": "Threat Modeling",
"matched_via": "alias",
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": null,
"source_tag": "db",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "LLMs",
"alias_type": "CANONICAL",
"id": 1829,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 2,
"display_name": "LLMs",
"id": 1193,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "llms",
"sub_category_id": 903,
"typical_lifespan": "EVERGREEN",
"volatility": "EMERGING"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "React Frontend Development",
"id": 96,
"rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
"slug": "d_init_01",
"source": "db"
},
"input_skill": "LLM",
"llm_role": null,
"roles_from_db": []
}
],
"input_skill": "LLM",
"matched_via": "embedding_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": "GenAI",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Machine Learning Frameworks",
"skill_nature": "CONCEPT",
"sub_category": "general",
"typical_lifespan": "SHORT_LIVED",
"version_strategy": "VERSIONED",
"volatility": "FAST"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "genai",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
}
],
"unmatched_skills": [
"Cybersecurity",
"AI pipeline",
"Cloud Native",
"Public Cloud",
"GenAI"
]
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "Cyber Security Engineer",
"id": 5,
"rationale": "Exact alias hit on cybersecurity-engineer (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
"role_archetype": null,
"slug": "cybersecurity-engineer",
"source": "db"
},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
"skill": "Cybersecurity",
"tag": "new"
},
{
"skill": "DevSecOps",
"tag": "in_db"
},
{
"skill": "AI pipeline",
"tag": "new"
},
{
"skill": "Machine Learning",
"tag": "in_db"
},
{
"skill": "Artificial Intelligence",
"tag": "in_db"
},
{
"skill": "Cloud Native",
"tag": "new"
},
{
"skill": "Public Cloud",
"tag": "new"
},
{
"skill": "Threat Modeling",
"tag": "in_db"
},
{
"skill": "LLM",
"tag": "in_db"
},
{
"skill": "GenAI",
"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": 5,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "CI/CD Pipeline Platforms",
"id": 150,
"rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
"slug": "ci-cd-pipeline-platforms",
"source": "db"
},
"dimension_id": 150,
"input_skill": "DevSecOps",
"llm_role": null,
"matched_chosen_role": false,
"outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
"role_dimension_saved": false,
"roles_from_db": [
{
"display_name": "DevOps Engineer",
"id": 10,
"rationale": null,
"role_archetype": null,
"slug": "devops-engineer",
"source": "db"
}
],
"skill_dimension_saved": false,
"skill_id": null,
"skill_tag": "new",
"skipped_reason": "skill_not_in_db_v3_proposed"
},
{
"chosen_role_id": 5,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Deployment and Release Patterns",
"id": 140,
"rationale": "Patterns for promoting changes safely across environments, including rollout, rollback, and release gating strategies. Cloud Architects define these patterns so teams can deploy consistently across the platform.",
"slug": "deployment-and-release-patterns",
"source": "db"
},
"dimension_id": 140,
"input_skill": "DevSecOps",
"llm_role": null,
"matched_chosen_role": false,
"outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
"role_dimension_saved": false,
"roles_from_db": [
{
"display_name": "Cloud Architect",
"id": 9,
"rationale": null,
"role_archetype": null,
"slug": "cloud-architect",
"source": "db"
}
],
"skill_dimension_saved": false,
"skill_id": null,
"skill_tag": "new",
"skipped_reason": "skill_not_in_db_v3_proposed"
},
{
"chosen_role_id": 5,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Infrastructure as Code",
"id": 132,
"rationale": "Declarative provisioning and environment definition tools used to codify cloud infrastructure, repeatable environments, and platform standards. Cloud Architects use these to express reference architectures and guardrails.",
"slug": "infrastructure-as-code",
"source": "db"
},
"dimension_id": 132,
"input_skill": "DevSecOps",
"llm_role": null,
"matched_chosen_role": false,
"outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
"role_dimension_saved": false,
"roles_from_db": [
{
"display_name": "Cloud Architect",
"id": 9,
"rationale": null,
"role_archetype": null,
"slug": "cloud-architect",
"source": "db"
},
{
"display_name": "DevOps Engineer",
"id": 10,
"rationale": null,
"role_archetype": null,
"slug": "devops-engineer",
"source": "db"
}
],
"skill_dimension_saved": false,
"skill_id": null,
"skill_tag": "new",
"skipped_reason": "skill_not_in_db_v3_proposed"
},
{
"chosen_role_id": 5,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "AI Governance and Model Security",
"id": 50,
"rationale": "Controls and documentation used to make models safer, auditable, and compliant. ML engineers use this to manage model risk, supply chain integrity, and governance requirements.",
"slug": "ai-governance-and-model-security",
"source": "db"
},
"dimension_id": 50,
"input_skill": "Machine Learning",
"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"
},
{
"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"
}
],
"skill_dimension_saved": true,
"skill_id": 1356,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 5,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "React Frontend Development",
"id": 96,
"rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
"slug": "d_init_01",
"source": "db"
},
"dimension_id": 96,
"input_skill": "Machine Learning",
"llm_role": null,
"matched_chosen_role": false,
"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
"role_dimension_saved": false,
"roles_from_db": [],
"skill_dimension_saved": true,
"skill_id": 1356,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 5,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "React Frontend Development",
"id": 96,
"rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
"slug": "d_init_01",
"source": "db"
},
"dimension_id": 96,
"input_skill": "Artificial Intelligence",
"llm_role": null,
"matched_chosen_role": false,
"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
"role_dimension_saved": false,
"roles_from_db": [],
"skill_dimension_saved": true,
"skill_id": 1357,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 5,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Threat Modeling and Risk Analysis",
"id": 76,
"rationale": "Structured analysis of assets, threats, attack paths, and control gaps to prioritize security work. This dimension is distinct because it drives design decisions before incidents occur and informs remediation priorities.",
"slug": "threat-modeling-and-risk-analysis",
"source": "db"
},
"dimension_id": 76,
"input_skill": "Threat Modeling",
"llm_role": null,
"matched_chosen_role": true,
"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
"role_dimension_saved": true,
"roles_from_db": [
{
"display_name": "Cloud 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": 418,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 5,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "React Frontend Development",
"id": 96,
"rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
"slug": "d_init_01",
"source": "db"
},
"dimension_id": 96,
"input_skill": "LLM",
"llm_role": null,
"matched_chosen_role": false,
"outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
"role_dimension_saved": false,
"roles_from_db": [],
"skill_dimension_saved": false,
"skill_id": null,
"skill_tag": "new",
"skipped_reason": "skill_not_in_db_v3_proposed"
}
],
"new_skills_created": 0,
"role_dimension_saved": 0,
"skill_dimension_saved": 0,
"skipped": 4
},
"planner_output": null,
"run_id": "02edca94-61a1-4828-bde2-ed8d5667d217"
}