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Pipeline run

4a32fc13-4d4d-4fe7-8a4d-5a5fdb11846f

Pipeline LLM cost (USD)
API 1: $0.0132 API 2: $0.0021 API 3: $0.0000 Total: $0.0153

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Software Verification & Validation
Lead DO-178B/C verification and validation from planning through certification, including HW/SW black-box and emulator testing, requirements/reviews, tool qualification, coverage and margin analysis, plus automation in LabVIEW/Python.
"Develop and Lead Software Verification and Validation activities as per DO 178B/C"
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3):
Evidence — skills matched in JD (42)
DO-178B/C DO-330 DO-331 Hardware-Software Integration Black-box Testing Emulator-based Testing Requirements Engineering Tool Qualification Structural Coverage Analysis Model Coverage Analysis Memory Analysis Stack Analysis Timing Analysis NI LabVIEW Python CAN ARINC 429 AFDX Time Triggered Protocol Polarion DOORS Synergy TortoiseSVN Agile Scrum +17
Skill cluster (3 dimension groups, role-scoped)
CI/CD Pipeline Platforms
DevOps
Cloud Security Scripting & DSL Languages
Python
Cross-cutting / unaligned
DO-178B/C DO-330 DO-331 Hardware-Software Integration Black-box Testing Emulator-based Testing Requirements Engineering Tool Qualification Structural Coverage Analysis Model Coverage Analysis Memory Analysis Stack Analysis Timing Analysis NI LabVIEW CAN ARINC 429 AFDX Time Triggered Protocol Polarion DOORS Synergy TortoiseSVN Agile Scrum Kanban Program Increment User Story Backlog Tracking Jenkins GitHub VSM RCCA Fishbone Diagram 5 Whys Mistake Proofing Jama Jira MIL SIL HIL
Show KRA description ↓
Develop and Lead Software Verification and Validation activities as per DO 178B/C, DO-330 and DO-331 standards from planning to Certification phase.Proficient in Hardware- Software Integration Level at black box level, Emulator Based testing.Proficient in defining Requirements for Software Test Equipment for verification.Proficient in writing and reviewing the High-Level Requirements from System Requirement and Low Level Requirements.Proficient in Tool Qualification Activities as per DO178C.Proficient in performing structural coverage and Model coverage Analysis.Proficient in performing Memory, Stack and Timing margin analysis.Able to lead and demonstrate the verification process and artifacts in SOI audits independently.Hands on experience in developing verification tools using NI-LabVIEW, Python to achieve 100% Automation in Verification.Knowledge of communication protocols like CAN, ARINC 429, AFDX, Time Triggered Protocol.Experience on usage of the Configuration Management and Change management Tools (Polarion, DOORs, Synergy, Tortoise SVN)Able to quickly learn the new technologies and deploy them with minimum dependency.Ability to work collaboratively with cross functional team for technical discussions, demonstrations.Interface with SBU and customer for Audits.Participate and lead team continuous Improvement activities and demonstrate effective implementation using VSM, RRCA, Fishbone, 5 Why, Mistake proofing etc.Able to work in AGILE team with good knowledge on agile techniques/frameworks like Scrum, Kanban, Program Increment, Feature Development, User Story development and backlog tracking.Hands-on experience in Dev-Ops and usage of tools like JAMA, JEERA, Jenkins, GitHub, is preferred.Hands-on experience in MIL, SIL, HIL is preferred.Ability to identify Risks and Opportunities to ensure seamless execution.Support project management by providing periodic status and required metrics data.Mentor team members on technical aspects and provide support in developing the team competency by identifying the right skill gap and suggesting ways to improve on it.Ability to Innovate, Research, performing trade studies and prepare white papers or order Recommend new technologies to improve product development activities.

Signals

Skill engineering-manager
0.09
Alias
KRA cloud-architect
0.47

Post-classification

Centroid
Alias collision log
New-role queue#117
New skills captured0
New KRA captured
Status: completed Created: 2026-05-27T17:35:36.818660Z Updated: 2026-05-27T17:39:03.925706Z API 3 duration: 7780 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

Cloud Security Engineer

CASE F

slug: cloud-security-engineer · id: 23 · source: db

The primary skills indicate a focus on software engineering and security, specifically with cloud technologies.

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

In this role the Lead Engineer (Avionics/Sensors) will be working and driving the Verification and Validation activities in the Aerospace domain, developing tools/software required to Automate the End-to-End Verification and deploying the latest verification techniques in order to reduce the cost and produce best in class software. Actively participate in SBU interactions on daily basis on work progress, technical discussions and Audits.

Position: Lead Engineer (P2)

Primary Responsibilities:
Develop and Lead Software Verification and Validation activities as per DO 178B/C, DO-330 and DO-331 standards from planning to Certification phase.Proficient in Hardware- Software Integration Level at black box level, Emulator Based testing.Proficient in defining Requirements for Software Test Equipment for verification.Proficient in writing and reviewing the High-Level Requirements from System Requirement and Low Level Requirements.Proficient in Tool Qualification Activities as per DO178C.Proficient in performing structural coverage and Model coverage Analysis.Proficient in performing Memory, Stack and Timing margin analysis.Able to lead and demonstrate the verification process and artifacts in SOI audits independently.Hands on experience in developing verification tools using NI-LabVIEW, Python to achieve 100% Automation in Verification.Knowledge of communication protocols like CAN, ARINC 429, AFDX, Time Triggered Protocol.Experience on usage of the Configuration Management and Change management Tools (Polarion, DOORs, Synergy, Tortoise SVN)Able to quickly learn the new technologies and deploy them with minimum dependency.Ability to work collaboratively with cross functional team for technical discussions, demonstrations.Interface with SBU and customer for Audits.Participate and lead team continuous Improvement activities and demonstrate effective implementation using VSM, RRCA, Fishbone, 5 Why, Mistake proofing etc.Able to work in AGILE team with good knowledge on agile techniques/frameworks like Scrum, Kanban, Program Increment, Feature Development, User Story development and backlog tracking.Hands-on experience in Dev-Ops and usage of tools like JAMA, JEERA, Jenkins, GitHub, is preferred.Hands-on experience in MIL, SIL, HIL is preferred.Ability to identify Risks and Opportunities to ensure seamless execution.Support project management by providing periodic status and required metrics data.Mentor team members on technical aspects and provide support in developing the team competency by identifying the right skill gap and suggesting ways to improve on it.Ability to Innovate, Research, performing trade studies and prepare white papers or order Recommend new technologies to improve product development activities.

Basic Qualifications:
Bachelor’s degree in Electronics Engineering or Embedded Software Engineering with 5 - 7 years of relevant experience.

Skills from this JD

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

DO-178B/C 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
DO-330 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
DO-331 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Hardware-Software Integration 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Black-box Testing 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Emulator-based Testing 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Requirements Engineering 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Tool Qualification 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Structural Coverage Analysis 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Model Coverage Analysis 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Memory Analysis 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Stack Analysis 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Timing Analysis 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
NI LabVIEW 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Python Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Python id=5 · python

Aliases — catalog

  • Python (CANONICAL) primary
  • Python 2 (VERSION)
  • Python 2.x (VERSION)
  • Python 3 (VERSION)
  • Python 3.10 (VERSION)
  • Python 3.11 (VERSION)
  • Python 3.12 (VERSION)
  • Python 3.x (VERSION)
  • py (VERSION)
  • py2 (VERSION)
  • py3 (VERSION)
  • python 3 (VERSION)
  • python 3.x (VERSION)
  • python2 (VERSION)
  • python3 (VERSION)
  • python3.x (VERSION)

Context tags (catalog)

API Django FastAPI Flask Jupyter NumPy PEP 8 Pandas REST SQLAlchemy asyncio pandas pip pytest type hints venv virtualenv

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
PSF
License
mit
Year introduced
1991
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
3

Maturity reasoning: Python appears in a very high volume of job descriptions across data, backend, automation, and ML roles, and remains a default hiring-pipeline language on major job boards and tech stacks.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
96
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Security Scripting & DSL Languages Catalog dimension db id 248

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer

  • Programming Languages & DSLs Catalog dimension db id 475

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

  • Programming Languages and Scripting Catalog dimension db id 59

    Library dimension (catalog)

    Roles linked in library: Cyber Security Engineer

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

  • Programming Languages for ML Systems Catalog dimension db id 39

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

  • Programming Languages for XR Catalog dimension db id 97

    Library dimension (catalog)

    Roles linked in library: AR/VR Engineer

  • Python Programming Catalog dimension db id 290

    Library dimension (catalog)

    Roles linked in library: Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension saved
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CAN 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
ARINC 429 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
AFDX 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Time Triggered Protocol 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Polarion 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
DOORS 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Synergy 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
TortoiseSVN 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
VSM 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
RCCA 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Fishbone Diagram 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
5 Whys 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Mistake Proofing 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Agile Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Agile id=520 · agile

Aliases — catalog

  • Agile (CANONICAL) primary

Context tags (catalog)

Kanban SAFe Scrum backlog backlog grooming burndown burndown chart continuous delivery continuous improvement cross-functional daily standup epics incremental development iteration iteration planning lean product backlog product owner retrospective sprint sprint planning stand-up story points user stories velocity

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Agile
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Agile appears in a large share of software job descriptions and is a standard hiring-pipeline requirement; Scrum/Kanban are commonly listed alongside it, showing broad market adoption.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
3594
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

  • Software Concepts, Patterns & Practices Catalog dimension db id 478

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

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)
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Scrum Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Scrum id=1215 · scrum

Aliases — catalog

  • Scrum (CANONICAL) primary

Context tags (catalog)

Agile Kanban backlog burndown chart cross-functional team daily standup definition of done increment product owner release planning retrospective scrum framework scrum master sprint story points user stories velocity

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Scrum
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Scrum appears in a large share of agile project-management and product-owner job descriptions, and Scrum Alliance/PSM certifications are widely requested in hiring pipelines.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
3627
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

  • Software Concepts, Patterns & Practices Catalog dimension db id 478

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

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)
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Kanban 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Program Increment 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
User Story 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Backlog Tracking 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
DevOps Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: DevOps id=1216 · devops

Aliases — catalog

  • DevOps (CANONICAL)

Context tags (catalog)

Agile Ansible Automation CI/CD Cloud-native Continuous Deployment Continuous Integration Docker GitOps Infrastructure as Code Jenkins Kubernetes Microservices Monitoring SRE Terraform

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
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Deployment and Release Patterns
deployment-and-release-patterns
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Jama 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Jira 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Jenkins Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Jenkins id=283 · jenkins

Aliases — catalog

  • Jenkins (CANONICAL) primary

Context tags (catalog)

Blue Ocean CI/CD Declarative Pipeline Docker Groovy Jenkinsfile Kubernetes agents artifact repository artifacts automation build triggers integration multibranch pipeline pipeline plugins shared libraries stages test automation version control webhooks

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Ci Cd Tool
Vendor
CloudBees
License
mit
Year introduced
2011
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Jenkins remains a common CI/CD requirement in job postings and enterprise DevOps stacks, with broad plugin ecosystem and long-running GitHub activity despite newer alternatives.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
184
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • CI/CD for Machine Learning Catalog dimension db id 56

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitHub Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: GitHub id=280 · github

Aliases — catalog

  • GitHub (CANONICAL) primary

Context tags (catalog)

CI/CD Git GitHub Actions GitHub Enterprise GitHub Pages SSH keys actions branch protection branches code review collaboration commit history fork forking issue tracker issues markdown merge conflicts merge request pull request pull requests release tags repositories repository version control webhooks

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Devops Platform
Vendor
GitHub, Inc.
License
other_open
Year introduced
2008
Confidence
0.96
Version strategy
NOT_APPLICABLE

Maturity reasoning: GitHub appears in a very high volume of engineering JDs for source control, code review, and CI/CD; it’s a standard hiring-pipeline skill across teams.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
170
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • CI/CD for Machine Learning Catalog dimension db id 56

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
MIL 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
SIL 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
HIL 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
Other
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED

All API 3 persistence rows

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

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
Python in_db
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension saved
Python in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Agile in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Agile in_db
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Scrum in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Scrum in_db
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
DevOps in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
DevOps in_db
Deployment and Release Patterns
deployment-and-release-patterns
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
DevOps in_db
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Jenkins in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Jenkins in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitHub in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitHub in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed DO-178B/C | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed DO-330 | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed DO-331 | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Hardware-Software Integration | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Black-box Testing | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Emulator-based Testing | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Requirements Engineering | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Tool Qualification | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Structural Coverage Analysis | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Model Coverage Analysis | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Memory Analysis | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Stack Analysis | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Timing Analysis | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed NI LabVIEW | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed CAN | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed ARINC 429 | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed AFDX | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Time Triggered Protocol | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Polarion | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed DOORS | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Synergy | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed TortoiseSVN | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed VSM | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed RCCA | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Fishbone Diagram | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed 5 Whys | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Mistake Proofing | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Kanban | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Program Increment | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed User Story | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Backlog Tracking | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Jama | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Jira | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed MIL | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed SIL | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed HIL | type=Other subtype=general nature=TOOL lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RoleLead Engineer (P2)
Experience5 - 7 years of relevant experience
DomainAerospace & Defense
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": null,
  "certifications": [],
  "company_name": null,
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [
        "Aerospace",
        "Defense"
      ],
      "domain": "Aerospace \u0026 Defense"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "BTECH/BE - Electronics Engineering",
      "raw": "Bachelor\u2019s degree in Electronics Engineering or Embedded Software Engineering",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": 7,
    "min": 5,
    "raw": "5 - 7 years of relevant experience"
  },
  "job_locations": [],
  "role": "Lead Engineer (P2)",
  "role_aliases": [
    "Lead Engineer",
    "Senior Engineer",
    "Software Verification Engineer"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 0,
      "heading": "Primary Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Develop and Lead Software Verification",
        "last_5_words": "product development activities."
      },
      "text": "Develop and Lead Software Verification and Validation activities as per DO 178B/C, DO-330 and DO-331 standards from planning to Certification phase.Proficient in Hardware- Software Integration Level at black box level, Emulator Based testing.Proficient in defining Requirements for Software Test Equipment for verification.Proficient in writing and reviewing the High-Level Requirements from System Requirement and Low Level Requirements.Proficient in Tool Qualification Activities as per DO178C.Proficient in performing structural coverage and Model coverage Analysis.Proficient in performing Memory, Stack and Timing margin analysis.Able to lead and demonstrate the verification process and artifacts in SOI audits independently.Hands on experience in developing verification tools using NI-LabVIEW, Python to achieve 100% Automation in Verification.Knowledge of communication protocols like CAN, ARINC 429, AFDX, Time Triggered Protocol.Experience on usage of the Configuration Management and Change management Tools (Polarion, DOORs, Synergy, Tortoise SVN)Able to quickly learn the new technologies and deploy them with minimum dependency.Ability to work collaboratively with cross functional team for technical discussions, demonstrations.Interface with SBU and customer for Audits.Participate and lead team continuous Improvement activities and demonstrate effective implementation using VSM, RRCA, Fishbone, 5 Why, Mistake proofing etc.Able to work in AGILE team with good knowledge on agile techniques/frameworks like Scrum, Kanban, Program Increment, Feature Development, User Story development and backlog tracking.Hands-on experience in Dev-Ops and usage of tools like JAMA, JEERA, Jenkins, GitHub, is preferred.Hands-on experience in MIL, SIL, HIL is preferred.Ability to identify Risks and Opportunities to ensure seamless execution.Support project management by providing periodic status and required metrics data.Mentor team members on technical aspects and provide support in developing the team competency by identifying the right skill gap and suggesting ways to improve on it.Ability to Innovate, Research, performing trade studies and prepare white papers or order Recommend new technologies to improve product development activities.",
      "word_count": 366
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "DO-178B/C"
    },
    {
      "is_primary": true,
      "skill_name": "DO-330"
    },
    {
      "is_primary": true,
      "skill_name": "DO-331"
    },
    {
      "is_primary": true,
      "skill_name": "Hardware-Software Integration"
    },
    {
      "is_primary": true,
      "skill_name": "Black-box Testing"
    },
    {
      "is_primary": true,
      "skill_name": "Emulator-based Testing"
    },
    {
      "is_primary": true,
      "skill_name": "Requirements Engineering"
    },
    {
      "is_primary": true,
      "skill_name": "Tool Qualification"
    },
    {
      "is_primary": true,
      "skill_name": "Structural Coverage Analysis"
    },
    {
      "is_primary": true,
      "skill_name": "Model Coverage Analysis"
    },
    {
      "is_primary": true,
      "skill_name": "Memory Analysis"
    },
    {
      "is_primary": true,
      "skill_name": "Stack Analysis"
    },
    {
      "is_primary": true,
      "skill_name": "Timing Analysis"
    },
    {
      "is_primary": true,
      "skill_name": "NI LabVIEW"
    },
    {
      "is_primary": true,
      "skill_name": "Python"
    },
    {
      "is_primary": true,
      "skill_name": "CAN"
    },
    {
      "is_primary": true,
      "skill_name": "ARINC 429"
    },
    {
      "is_primary": true,
      "skill_name": "AFDX"
    },
    {
      "is_primary": true,
      "skill_name": "Time Triggered Protocol"
    },
    {
      "is_primary": true,
      "skill_name": "Polarion"
    },
    {
      "is_primary": true,
      "skill_name": "DOORS"
    },
    {
      "is_primary": true,
      "skill_name": "Synergy"
    },
    {
      "is_primary": true,
      "skill_name": "TortoiseSVN"
    },
    {
      "is_primary": false,
      "skill_name": "VSM"
    },
    {
      "is_primary": false,
      "skill_name": "RCCA"
    },
    {
      "is_primary": false,
      "skill_name": "Fishbone Diagram"
    },
    {
      "is_primary": false,
      "skill_name": "5 Whys"
    },
    {
      "is_primary": false,
      "skill_name": "Mistake Proofing"
    },
    {
      "is_primary": true,
      "skill_name": "Agile"
    },
    {
      "is_primary": true,
      "skill_name": "Scrum"
    },
    {
      "is_primary": true,
      "skill_name": "Kanban"
    },
    {
      "is_primary": true,
      "skill_name": "Program Increment"
    },
    {
      "is_primary": true,
      "skill_name": "User Story"
    },
    {
      "is_primary": true,
      "skill_name": "Backlog Tracking"
    },
    {
      "is_primary": true,
      "skill_name": "DevOps"
    },
    {
      "is_primary": false,
      "skill_name": "Jama"
    },
    {
      "is_primary": false,
      "skill_name": "Jira"
    },
    {
      "is_primary": true,
      "skill_name": "Jenkins"
    },
    {
      "is_primary": true,
      "skill_name": "GitHub"
    },
    {
      "is_primary": false,
      "skill_name": "MIL"
    },
    {
      "is_primary": false,
      "skill_name": "SIL"
    },
    {
      "is_primary": false,
      "skill_name": "HIL"
    }
  ],
  "jd_role": {
    "display_name": "Lead Engineer (P2)",
    "rationale": null,
    "role_aliases": [
      "Lead Engineer",
      "Senior Engineer",
      "Software Verification Engineer"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "certifications": [],
    "company_name": null,
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [
          "Aerospace",
          "Defense"
        ],
        "domain": "Aerospace \u0026 Defense"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "Bachelor\u0027s",
        "qualification": "BTECH/BE - Electronics Engineering",
        "raw": "Bachelor\u2019s degree in Electronics Engineering or Embedded Software Engineering",
        "requirement": "required"
      }
    ],
    "experience": {
      "max": 7,
      "min": 5,
      "raw": "5 - 7 years of relevant experience"
    },
    "job_locations": [],
    "role": "Lead Engineer (P2)",
    "role_aliases": [
      "Lead Engineer",
      "Senior Engineer",
      "Software Verification Engineer"
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 0,
        "heading": "Primary Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Develop and Lead Software Verification",
          "last_5_words": "product development activities."
        },
        "text": "Develop and Lead Software Verification and Validation activities as per DO 178B/C, DO-330 and DO-331 standards from planning to Certification phase.Proficient in Hardware- Software Integration Level at black box level, Emulator Based testing.Proficient in defining Requirements for Software Test Equipment for verification.Proficient in writing and reviewing the High-Level Requirements from System Requirement and Low Level Requirements.Proficient in Tool Qualification Activities as per DO178C.Proficient in performing structural coverage and Model coverage Analysis.Proficient in performing Memory, Stack and Timing margin analysis.Able to lead and demonstrate the verification process and artifacts in SOI audits independently.Hands on experience in developing verification tools using NI-LabVIEW, Python to achieve 100% Automation in Verification.Knowledge of communication protocols like CAN, ARINC 429, AFDX, Time Triggered Protocol.Experience on usage of the Configuration Management and Change management Tools (Polarion, DOORs, Synergy, Tortoise SVN)Able to quickly learn the new technologies and deploy them with minimum dependency.Ability to work collaboratively with cross functional team for technical discussions, demonstrations.Interface with SBU and customer for Audits.Participate and lead team continuous Improvement activities and demonstrate effective implementation using VSM, RRCA, Fishbone, 5 Why, Mistake proofing etc.Able to work in AGILE team with good knowledge on agile techniques/frameworks like Scrum, Kanban, Program Increment, Feature Development, User Story development and backlog tracking.Hands-on experience in Dev-Ops and usage of tools like JAMA, JEERA, Jenkins, GitHub, is preferred.Hands-on experience in MIL, SIL, HIL is preferred.Ability to identify Risks and Opportunities to ensure seamless execution.Support project management by providing periodic status and required metrics data.Mentor team members on technical aspects and provide support in developing the team competency by identifying the right skill gap and suggesting ways to improve on it.Ability to Innovate, Research, performing trade studies and prepare white papers or order Recommend new technologies to improve product development activities.",
        "word_count": 366
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "4a32fc13-4d4d-4fe7-8a4d-5a5fdb11846f",
  "stage3_signals": {
    "alias_found": false,
    "alias_match_roles": [],
    "kra_match_roles": [
      {
        "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": "Develop and Lead Software Verification and Validation activities as per DO 178B/C, DO-330 and DO-331 standards from planning to Certification phase.Proficient in Hardware- Software Integration Level at black box level, Emulator Based testing.Proficient in defining Requirements for Software Test Equipment for verification.Proficient in writing and reviewing the High-Level Requirements from System Requirement and Low Level Requirements.Proficient in Tool Qualification Activities as per DO178C.Proficient in performing structural coverage and Model coverage Analysis.Proficient in performing Memory, Stack and Timing margin analysis.Able to lead and demonstrate the verification process and artifacts in SOI audits independently.Hands on experience in developing verification tools using NI-LabVIEW, Python to achieve 100% Automation in Verification.Knowledge of communication protocols like CAN, ARINC 429, AFDX, Time Triggered Protocol.Experience on usage of the Configuration Management and Change management Tools (Polarion, DOORs, Synergy, Tortoise SVN)Able to quickly learn the new technologies and deploy them with minimum dependency.Ability to work collaboratively with cross functional team for technical discussions, demonstrations.Interface with SBU and customer for Audits.Participate and lead team continuous Improvement activities and demonstrate effective implementation using VSM, RRCA, Fishbone, 5 Why, Mistake proofing etc. Able to work in AGILE team with good knowledge on agile techniques/frameworks like Scrum, Kanban, Program Increment, Feature Development, User Story development and backlog tracking.Hands-on experience in Dev-Ops and usage of tools like JAMA, JEERA, Jenkins, GitHub, is preferred.Hands-on experience in MIL, SIL, HIL is preferred.Ability to identify Risks and Opportunities to ensure seamless execution.Support project management by providing periodic status and required metrics data.Mentor team members on technical aspects and provide support in developing the team competency by identifying the right skill gap and suggesting ways to improve on it.Ability to Innovate, Research, performing trade studies and prepare white papers or order Recommend new technologies to improve product development activities.",
            "similarity": 0.4681
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 9,
        "score": 0.4681,
        "slug": "cloud-architect",
        "total_count": null
      },
      {
        "display_name": "Cyber Security Engineer",
        "kra_matches": [
          {
            "kra_text": "Performs threat modeling, security architecture reviews, and quantitative risk analysis for new product features and infrastructure changes.",
            "sentence": "Develop and Lead Software Verification and Validation activities as per DO 178B/C, DO-330 and DO-331 standards from planning to Certification phase.Proficient in Hardware- Software Integration Level at black box level, Emulator Based testing.Proficient in defining Requirements for Software Test Equipment for verification.Proficient in writing and reviewing the High-Level Requirements from System Requirement and Low Level Requirements.Proficient in Tool Qualification Activities as per DO178C.Proficient in performing structural coverage and Model coverage Analysis.Proficient in performing Memory, Stack and Timing margin analysis.Able to lead and demonstrate the verification process and artifacts in SOI audits independently.Hands on experience in developing verification tools using NI-LabVIEW, Python to achieve 100% Automation in Verification.Knowledge of communication protocols like CAN, ARINC 429, AFDX, Time Triggered Protocol.Experience on usage of the Configuration Management and Change management Tools (Polarion, DOORs, Synergy, Tortoise SVN)Able to quickly learn the new technologies and deploy them with minimum dependency.Ability to work collaboratively with cross functional team for technical discussions, demonstrations.Interface with SBU and customer for Audits.Participate and lead team continuous Improvement activities and demonstrate effective implementation using VSM, RRCA, Fishbone, 5 Why, Mistake proofing etc. Able to work in AGILE team with good knowledge on agile techniques/frameworks like Scrum, Kanban, Program Increment, Feature Development, User Story development and backlog tracking.Hands-on experience in Dev-Ops and usage of tools like JAMA, JEERA, Jenkins, GitHub, is preferred.Hands-on experience in MIL, SIL, HIL is preferred.Ability to identify Risks and Opportunities to ensure seamless execution.Support project management by providing periodic status and required metrics data.Mentor team members on technical aspects and provide support in developing the team competency by identifying the right skill gap and suggesting ways to improve on it.Ability to Innovate, Research, performing trade studies and prepare white papers or order Recommend new technologies to improve product development activities.",
            "similarity": 0.4526
          }
        ],
        "matched_count": null,
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    "skill_match_roles": [
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  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "F",
    "chosen_role": null,
    "confidence": 0.15,
    "is_new_role": false,
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    "llm2_reasoning": "The role\u2019s emphasis on rigorous verification, validation, protocol knowledge, and security\u2010adjacent audits aligns more closely with cybersecurity engineering than with cloud architecture.",
    "matched_dimensions": [],
    "matched_kras": [],
    "matched_skills": [],
    "new_role_display_name": null,
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    "queued": true,
    "reasoning": "LLM2 unsure (confidence 0.15 \u003c 0.7); queueing",
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}
API 2 — extract-details
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      "matched_via": "alias"
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      "matched_via": "alias"
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      "matched_via": "alias"
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      "matched_via": "alias"
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      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Other",
          "skill_nature": "TOOL",
          "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": "program-increment",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "User Story",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Other",
          "skill_nature": "TOOL",
          "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": "user-story",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Backlog Tracking",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Other",
          "skill_nature": "TOOL",
          "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": "backlog-tracking",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "DevOps",
          "alias_type": "CANONICAL",
          "id": 1852,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "DevOps",
        "id": 1216,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "devops",
        "sub_category_id": 922,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD Pipeline Platforms",
            "id": 150,
            "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
            "slug": "ci-cd-pipeline-platforms",
            "source": "db"
          },
          "input_skill": "DevOps",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "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"
          },
          "input_skill": "DevOps",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            }
          ]
        },
        {
          "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"
          },
          "input_skill": "DevOps",
          "llm_role": null,
          "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"
            }
          ]
        }
      ],
      "input_skill": "DevOps",
      "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": "Jama",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Other",
          "skill_nature": "TOOL",
          "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": "jama",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Jira",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Other",
          "skill_nature": "TOOL",
          "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": "jira",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Jenkins",
          "alias_type": "CANONICAL",
          "id": 544,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 13,
        "display_name": "Jenkins",
        "id": 283,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "jenkins",
        "sub_category_id": 184,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD Pipeline Platforms",
            "id": 150,
            "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
            "slug": "ci-cd-pipeline-platforms",
            "source": "db"
          },
          "input_skill": "Jenkins",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD for Machine Learning",
            "id": 56,
            "rationale": "Tools and platforms for automating ML model integration, testing, and deployment pipelines.",
            "slug": "ci-cd-for-machine-learning",
            "source": "db"
          },
          "input_skill": "Jenkins",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Jenkins",
      "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": "GitHub",
          "alias_type": "CANONICAL",
          "id": 541,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 9,
        "display_name": "GitHub",
        "id": 280,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "github",
        "sub_category_id": 170,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD Pipeline Platforms",
            "id": 150,
            "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
            "slug": "ci-cd-pipeline-platforms",
            "source": "db"
          },
          "input_skill": "GitHub",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD for Machine Learning",
            "id": 56,
            "rationale": "Tools and platforms for automating ML model integration, testing, and deployment pipelines.",
            "slug": "ci-cd-for-machine-learning",
            "source": "db"
          },
          "input_skill": "GitHub",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "GitHub",
      "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": "MIL",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Other",
          "skill_nature": "TOOL",
          "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": "mil",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "SIL",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Other",
          "skill_nature": "TOOL",
          "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": "sil",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "HIL",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Other",
          "skill_nature": "TOOL",
          "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": "hil",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "DO-178B/C",
    "DO-330",
    "DO-331",
    "Hardware-Software Integration",
    "Black-box Testing",
    "Emulator-based Testing",
    "Requirements Engineering",
    "Tool Qualification",
    "Structural Coverage Analysis",
    "Model Coverage Analysis",
    "Memory Analysis",
    "Stack Analysis",
    "Timing Analysis",
    "NI LabVIEW",
    "CAN",
    "ARINC 429",
    "AFDX",
    "Time Triggered Protocol",
    "Polarion",
    "DOORS",
    "Synergy",
    "TortoiseSVN",
    "VSM",
    "RCCA",
    "Fishbone Diagram",
    "5 Whys",
    "Mistake Proofing",
    "Kanban",
    "Program Increment",
    "User Story",
    "Backlog Tracking",
    "Jama",
    "Jira",
    "MIL",
    "SIL",
    "HIL"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Cloud Security Engineer",
    "id": 23,
    "rationale": "The primary skills indicate a focus on software engineering and security, specifically with cloud technologies.",
    "role_archetype": null,
    "slug": "cloud-security-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "DO-178B/C",
      "tag": "new"
    },
    {
      "skill": "DO-330",
      "tag": "new"
    },
    {
      "skill": "DO-331",
      "tag": "new"
    },
    {
      "skill": "Hardware-Software Integration",
      "tag": "new"
    },
    {
      "skill": "Black-box Testing",
      "tag": "new"
    },
    {
      "skill": "Emulator-based Testing",
      "tag": "new"
    },
    {
      "skill": "Requirements Engineering",
      "tag": "new"
    },
    {
      "skill": "Tool Qualification",
      "tag": "new"
    },
    {
      "skill": "Structural Coverage Analysis",
      "tag": "new"
    },
    {
      "skill": "Model Coverage Analysis",
      "tag": "new"
    },
    {
      "skill": "Memory Analysis",
      "tag": "new"
    },
    {
      "skill": "Stack Analysis",
      "tag": "new"
    },
    {
      "skill": "Timing Analysis",
      "tag": "new"
    },
    {
      "skill": "NI LabVIEW",
      "tag": "new"
    },
    {
      "skill": "Python",
      "tag": "in_db"
    },
    {
      "skill": "CAN",
      "tag": "new"
    },
    {
      "skill": "ARINC 429",
      "tag": "new"
    },
    {
      "skill": "AFDX",
      "tag": "new"
    },
    {
      "skill": "Time Triggered Protocol",
      "tag": "new"
    },
    {
      "skill": "Polarion",
      "tag": "new"
    },
    {
      "skill": "DOORS",
      "tag": "new"
    },
    {
      "skill": "Synergy",
      "tag": "new"
    },
    {
      "skill": "TortoiseSVN",
      "tag": "new"
    },
    {
      "skill": "VSM",
      "tag": "new"
    },
    {
      "skill": "RCCA",
      "tag": "new"
    },
    {
      "skill": "Fishbone Diagram",
      "tag": "new"
    },
    {
      "skill": "5 Whys",
      "tag": "new"
    },
    {
      "skill": "Mistake Proofing",
      "tag": "new"
    },
    {
      "skill": "Agile",
      "tag": "in_db"
    },
    {
      "skill": "Scrum",
      "tag": "in_db"
    },
    {
      "skill": "Kanban",
      "tag": "new"
    },
    {
      "skill": "Program Increment",
      "tag": "new"
    },
    {
      "skill": "User Story",
      "tag": "new"
    },
    {
      "skill": "Backlog Tracking",
      "tag": "new"
    },
    {
      "skill": "DevOps",
      "tag": "in_db"
    },
    {
      "skill": "Jama",
      "tag": "new"
    },
    {
      "skill": "Jira",
      "tag": "new"
    },
    {
      "skill": "Jenkins",
      "tag": "in_db"
    },
    {
      "skill": "GitHub",
      "tag": "in_db"
    },
    {
      "skill": "MIL",
      "tag": "new"
    },
    {
      "skill": "SIL",
      "tag": "new"
    },
    {
      "skill": "HIL",
      "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": 23,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Security Scripting \u0026 DSL Languages",
          "id": 248,
          "rationale": "Proficiency in programming and domain-specific languages used to automate and script cloud security controls.",
          "slug": "cloud-security-scripting-dsl-languages",
          "source": "db"
        },
        "dimension_id": 248,
        "input_skill": "Python",
        "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"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 23,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages",
          "id": 1,
          "rationale": "Primary implementation languages used to build client and server feature code. Full stack engineers need enough fluency to move across layers and implement product behavior end to end.",
          "slug": "programming-languages",
          "source": "db"
        },
        "dimension_id": 1,
        "input_skill": "Python",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Backend Developer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
            "slug": "backend-engineer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 435,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "fullstack-developer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 23,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages \u0026 DSLs",
          "id": 475,
          "rationale": "Oversee and guide the selection and effective use of programming and domain\u2010specific languages in software projects.",
          "slug": "programming-languages-dsls",
          "source": "db"
        },
        "dimension_id": 475,
        "input_skill": "Python",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Engineering Manager",
            "id": 121,
            "rationale": null,
            "role_archetype": null,
            "slug": "engineering-manager",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 23,
        "dimension": {
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          "display_name": "Programming Languages and Scripting",
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