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Pipeline run

85565a60-df0e-4422-a53a-44d65b8b1d59

Pipeline LLM cost (USD)
API 1: $0.0096 API 2: $0.0006 API 3: $0.0000 Total: $0.0102

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Software Quality Assurance / Test Automation
Build and run automated/manual tests for releases, APIs, and web UI; write Python/Playwright checks in PyTest, manage test cases/bugs in Jira/TestRail, and work in Agile with a distributed team to report quality issues.
"Execution of automated and manual test cases to validate release candidates"
Tech stack maturity
Mainstream Modern
The stack centers on widely adopted contemporary tools like Azure DevOps, Azure Pipelines, Playwright, pytest, and Python, which indicates a mainstream modern engineering environment rather than legacy or bleeding-edge technology.
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 (32)
Python PyTest Playwright REST Azure Pipelines Agile Scrum Web UI Testing Browser Compatibility Testing Usability Testing TestRail Jira Git Azure DevOps SQL Performance Testing Load Testing Test Automation Regression Testing Integration Testing Manual Testing Automated Testing Test Case Management Bug Tracking UX +7
Skill cluster (6 dimension groups, role-scoped)
Frontend Testing and E2E Automation
Playwright
Integration Protocols & Standards
REST
Performance and Scalability Tuning
Load Testing
Python Programming
Python
Testing and Quality Assurance
Integration Testing
Cross-cutting / unaligned
PyTest Azure Pipelines Agile Scrum Web UI Testing Browser Compatibility Testing Usability Testing TestRail Jira Git Azure DevOps SQL Performance Testing Test Automation Regression Testing Manual Testing Automated Testing Test Case Management Bug Tracking UX Active Directory Entra ID Datadog Identity and Access Management Relational Databases Windows Browser Extensions
Show KRA description ↓
• Managing test cases; defining test scenarios, preconditions, test steps, expected results, test prioritization, and risk assessment • Execution of automated and manual test cases to validate release candidates, release execution processes, and released software and platform changes • Coding of automated tests that perform test cases which evaluate expected results against actual results • Working in an agile scrum process; refine requirements, assess effort, test development and execution, documentation and reporting, perform demos, and retrospectives • Close cooperation with a globally distributed team of developers, testers, architects, escalation engineers and platform engineers which may necessitate occasional flexibility to accommodate overlap time • Structured and logical approach to software quality with the ability to learn, and think creatively to solve issues • Hands-on experience programming with Python- PyTest and Playwright. • Well versed in REST API endpoint testing • Familiar with Azure Pipelines – integration and regression automation • Experience with web Ul testing, browser compatibility testing, understanding of UX principles and usability testing • Experience with test case management and bug tracking tools such as TestRail and Jira • Ability to utilize a version control system (Git) to manage source code • Good team collaboration skills with a pragmatic and positive attitude • Excellent written and verbal communication skills in English • Minimum of 5+years of experience with at least 3+years in software testing • BE in CS, ECE, or related field, MS/MTech preferred • Previous experience (3+ years) in an enterprise software quality assurance field utilizing test automation frameworks and methodologies • Understanding of Identity and Access Management (IAM) functionality and technologies (Nice to have) • Experience using Azure DevOps working with features, work items, bugs, tasks, etc. • Experience with Active Directory • Knowledge of Entra ID • Knowledgeable of testing tools and frameworks; Playwright • Experience with relational databases and utilizing SQL for test cases • Ability to test a variety of installed software such as browser extensions and Windows applications • Previous experience with performance/load testing • Knowledge of synthetic testing via Datadog • Experience validating application and data security & compliance

Signals

Skill engineering-manager
0.21
Alias
KRA php-backend-developer
0.54

Post-classification

Centroidupdated · n=34
Alias collision log
New-role queue
New skills captured17
New KRA capturedyes

Captured for admin review

Web UI Testing primary Test Automation Engineer pending
Browser Compatibility Testing primary Test Automation Engineer pending
UX Test Automation Engineer pending
Usability Testing primary Test Automation Engineer pending
TestRail primary Test Automation Engineer pending
Jira primary Test Automation Engineer pending
Active Directory Test Automation Engineer pending
Entra ID Test Automation Engineer pending
Performance Testing primary Test Automation Engineer pending
Identity and Access Management Test Automation Engineer pending
Test Automation primary Test Automation Engineer pending
Manual Testing primary Test Automation Engineer pending
Automated Testing primary Test Automation Engineer pending
Test Case Management primary Test Automation Engineer pending
Bug Tracking primary Test Automation Engineer pending
Windows Test Automation Engineer pending
Browser Extensions Test Automation Engineer pending
R&R fragment (sim 0.00) Test Automation Engineer pending

• Managing test cases; defining test scenarios, preconditions, test steps, expected results, test prioritization, and risk assessment • Execution of automated and manual test cases to validate release…

Status: completed Created: 2026-05-27T16:57:27.053046Z Updated: 2026-05-27T16:59:06.480611Z API 3 duration: 7782 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

Test Automation Engineer

domain · Testing & Quality CASE DOMAIN

slug: test-automation-engineer · id: 52 · source: db

Domain=Testing & Quality; The JD is centered on automated test coding, Playwright/Python, API/UI regression automation, and test frameworks, which best matches a Test Automation Engineer.

Matched skills

PythonPyTestPlaywrightREST API endpoint testingAzure Pipelinesweb UI testingbrowser compatibility testingTestRailJiraGitAzure DevOpsActive DirectoryEntra IDSQLDatadog

Matched dimensions

Test automationManual and automated QAAPI testingUI and browser compatibility testingRegression and integration automationTest case management and bug trackingEnterprise software quality assurancePerformance testing

Matched KRAs

Managing test casesExecution of automated and manual test casesCoding of automated testsWorking in an agile scrum processRefine requirements, assess effortperform demos, and retrospectivesExperience with performance/load testingExperience validating application and data security & compliance

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

Overview

We are seeking a dedicated Quality Assurance Engineer to join the One Identity Cloud team to ensure our products are delivered with high quality and meets customer expectations.

You will collaborate with other technical staff to deliver consistently reliable hosted, SaaS solutions that support our users.

Responsibilities

• Managing test cases; defining test scenarios, preconditions, test steps, expected results, test prioritization, and risk assessment
• Execution of automated and manual test cases to validate release candidates, release execution processes, and released software and platform changes
• Coding of automated tests that perform test cases which evaluate expected results against actual results
• Working in an agile scrum process; refine requirements, assess effort, test development and execution, documentation and reporting, perform demos, and retrospectives
• Close cooperation with a globally distributed team of developers, testers, architects, escalation engineers and platform engineers which may necessitate occasional flexibility to accommodate overlap time


Qualifications

• Structured and logical approach to software quality with the ability to learn, and think creatively to solve issues
• Hands-on experience programming with Python- PyTest and Playwright.
• Well versed in REST API endpoint testing
• Familiar with Azure Pipelines – integration and regression automation
• Experience with web Ul testing, browser compatibility testing, understanding of UX principles and usability testing
• Experience with test case management and bug tracking tools such as TestRail and Jira
• Ability to utilize a version control system (Git) to manage source code
• Good team collaboration skills with a pragmatic and positive attitude
• Excellent written and verbal communication skills in English
• Minimum of 5+years of experience with at least 3+years in software testing
• BE in CS, ECE, or related field, MS/MTech preferred
• Previous experience (3+ years) in an enterprise software quality assurance field utilizing test automation frameworks and methodologies


 Preferences

• Understanding of Identity and Access Management (IAM) functionality and technologies (Nice to have)
• Experience using Azure DevOps working with features, work items, bugs, tasks, etc.
• Experience with Active Directory
• Knowledge of Entra ID
• Knowledgeable of testing tools and frameworks; Playwright
• Experience with relational databases and utilizing SQL for test cases
• Ability to test a variety of installed software such as browser extensions and Windows applications
• Previous experience with performance/load testing
• Knowledge of synthetic testing via Datadog
• Experience validating application and data security & compliance


Company Description

One Identity enables organizations of all sizes to better secure, manage, monitor, protect, and analyze information and

infrastructure to help fuel innovation and drive their businesses forward. With team members around the globe, we

intend to continue to grow revenues and add value to customers.

When you join our team, you will have the opportunity to build and develop products at a scale few others can provide.

Our product portfolio serves a large base of customers and we are addressing the strategic imperatives for enterprise

businesses. Working with some of the most talented employees the industry has to offer, we provide enhanced career

opportunities for team members to learn and grow in a rapidly changing environment.

Why work with us?

• Life at One Identity means collaborating with dedicated professionals with a passion for technology.
• When we see something that could be improved, we get to work inventing the solution.
• Our people demonstrate our winning culture through positive and meaningful relationships.
• We invest in our people and offer a series of programs that enables them to pursue a career that fulfills their


potential.

• Our team members’ health and wellness is our priority as well as rewarding them for their hard work.


One Identity is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: One Identity

is committed to the principle of equal employment opportunity for all employees and to providing employees with a

work environment free of discrimination and harassment. All employment decisions at One Identity are based on

business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national,

social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual

orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present

military service, family medical history or genetic information, family or parental status, or any other status protected

by the laws or regulations in the locations where we operate. One Identity will not tolerate discrimination or

harassment based on any of these characteristics. One Identity encourages applicants of all ages.

Come join us. For more information, visit us on the web at One Identity Careers | Explore Opportunities with the OI Team

Job seekers should be aware of fraudulent job offers from online scammers and only apply to roles listed on

quest.com/careers using our applicant system. Note: We do not use text messaging or third-party messaging apps like

Telegram to communicate with applicants, so please exercise caution if you are approached in this way and only

interact with people claiming to be Quest employees if they have an email address ending in @quest.com or

@oneidentity.com

Skills from this JD

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

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 skipped (dimension not under chosen role)
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)
PyTest Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: pytest id=2370 · pytest

Aliases — catalog

  • pytest (CANONICAL) primary

Context tags (catalog)

assert command line options coverage report fixture mock parameterized tests plugins pytest-bdd pytest-cov pytest-xdist test discovery test runner test suite tox unittest

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Testing Tool
Vendor
pytest-dev
License
mit
Year introduced
2014
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: Pytest appears in many Python job descriptions and is a standard testing tool in the Python ecosystem, with broad GitHub usage and active maintenance.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
513
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Testing and Quality Assurance Catalog dimension db id 12

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer, Scala Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Testing and Quality Assurance
testing-and-quality-assurance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Playwright Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Playwright id=654 · playwright

Aliases — catalog

  • Playwright (CANONICAL) primary
  • playwright (VERSION)
  • playwright 1 (VERSION)
  • playwright v1 (VERSION)
  • pw (VERSION)
  • pw 1 (VERSION)

Context tags (catalog)

API testing CI/CD CI/CD integration JavaScript JavaScript testing TypeScript browser automation cross-browser element selectors end-to-end testing fixture management fixtures headless headless mode locator locator strategies mocking network interception page object model parallel execution parallelization screenshot screenshot testing selectors test fixtures test isolation test runner test scripts trace viewer video recording visual regression web automation

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Testing Tool
Vendor
Microsoft
License
mit
Year introduced
2019
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Playwright appears frequently in QA/SDET and frontend job descriptions and is widely adopted for cross-browser E2E testing, with strong GitHub activity and vendor-backed releases from Microsoft.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
513
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Frontend Testing and E2E Automation Catalog dimension db id 122

    Library dimension (catalog)

    Roles linked in library: Angular Frontend Developer, Frontend Developer, React Frontend Developer, Svelte Frontend Developer, Vue Frontend Developer, Web Developer

  • Testing and Integration Validation Catalog dimension db id 217

    Library dimension (catalog)

    Roles linked in library: Fullstack Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Frontend Testing and E2E Automation
frontend-testing-and-e2e-automation
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Testing and Integration Validation
testing-and-integration-validation
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: REST id=11 · rest

Aliases — catalog

  • REST (CANONICAL) primary

Context tags (catalog)

API API design API versioning CRUD DELETE GET HATEOAS HTTP JSON OAuth OAuth2 OpenAPI POST PUT Postman RESTful Swagger URI Webhooks XML authentication client-server content negotiation endpoint endpoints middleware resource resource-oriented serialization stateless status codes versioning web services

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Api Architecture Style
Year introduced
2000
Confidence
0.88
Version strategy
NOT_APPLICABLE

Maturity reasoning: REST is a default API architecture in many job descriptions and is widely supported by major vendors/frameworks; OpenAPI and RESTful endpoints remain standard in hiring pipelines.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
2122
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • API Design and Contracts Catalog dimension db id 3

    Library dimension (catalog)

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

  • API Interface and Contract Design Catalog dimension db id 289

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Go Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer

  • Integration Protocols & Standards Catalog dimension db id 271

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Standards, Protocols & Compliance Catalog dimension db id 452

    Library dimension (catalog)

    Roles linked in library: Engineering Manager, Sitecore Dev

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
API Design and Contracts
api-design-and-contracts
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
API Interface and Contract Design
api-interface-and-contract-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Integration Protocols & Standards
integration-protocols-standards
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Standards, Protocols & Compliance
standards-protocols-compliance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure Pipelines Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Azure Pipelines id=285 · azure-pipelines

Aliases — catalog

  • Azure Pipelines (CANONICAL) primary

Context tags (catalog)

Azure DevOps Microsoft-hosted agent YAML approval gates artifact build pipeline deployment job job multi-stage release pipeline self-hosted agent service connection stage task variable group

Stored enrichment (catalog DB)

Category
Service
Sub-category
Ci Cd Service
Vendor
Microsoft
License
proprietary
Year introduced
2018
Confidence
0.95
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common CI/CD service in enterprise JDs, especially for Azure DevOps shops; Microsoft continues active investment and docs, with broad hiring demand alongside GitHub Actions/Jenkins.

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • 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 for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
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)
Web UI 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
Testing Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Browser Compatibility 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
Testing Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
FAST
Typical lifespan
SHORT_LIVED
Version strategy
VERSIONED
UX Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Soft Skills
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Usability 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
Testing Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
TestRail 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
Test Case Management
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Jira 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
Bug Tracking
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Git Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Git id=1002 · git

Aliases — catalog

  • Git (CANONICAL)

Context tags (catalog)

CI/CD GitHub GitLab branching checkout clone commit fork merging pull request rebase remote repository stash versioning

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Version Control Tool
Vendor
Linus Torvalds
License
gpl_v2
Year introduced
2005
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Git is a hiring-pipeline staple: it appears in the vast majority of software engineering job descriptions and is the default VCS on GitHub/GitLab/Bitbucket.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
730
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)
Azure DevOps Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Azure DevOps id=1214 · azure-devops

Aliases — catalog

  • Azure DevOps (CANONICAL)

Context tags (catalog)

Agile Azure Pipelines Build Agents Continuous Deployment Continuous Integration Docker GitHub Actions Infrastructure as Code Kubernetes Monitoring Release Management Service Hooks Terraform Version Control Work Items

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Devops Platform
Vendor
Microsoft
License
proprietary
Year introduced
2018
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: Azure DevOps appears in many enterprise job descriptions for CI/CD, boards, and repos, and Microsoft continues active product support and updates; it remains a common hiring-pipeline skill alongside GitHub Actions/Jenkins.

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

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)
Active Directory 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
Security Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Entra ID 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
Identity and Access Management
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
SQL Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: SQL id=101 · sql

Aliases — catalog

  • SQL (CANONICAL) primary

Context tags (catalog)

ACID CTE DDL DML ETL JOIN MySQL NoSQL OLAP ORM PostgreSQL SQL injection SQLite T-SQL data modeling data warehousing database normalization execution plan indexing joins normalization query optimization stored procedures subquery transaction isolation transaction management window functions

Stored enrichment (catalog DB)

Category
Language
Sub-category
Query Language
Vendor
ANSI
License
unknown
Year introduced
1974
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: SQL appears in a large share of data, backend, and analytics job descriptions and remains the default query language for PostgreSQL, MySQL, and cloud warehouses like Snowflake/BigQuery.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
97
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Pega Programming Languages & DSLs Catalog dimension db id 267

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Programming Languages & DSLs Catalog dimension db id 475

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Pega Programming Languages & DSLs
pega-programming-languages-dsls
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 for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Performance 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
Testing Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Load Testing Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: load testing id=55 · load-testing

Aliases — catalog

  • load testing (CANONICAL) primary

Context tags (catalog)

API load testing Apache Bench Gatling JMeter LoadRunner Locust SLA bottleneck analysis capacity planning cloud load testing cloud testing concurrency concurrent users distributed testing endurance testing k6 latency load generator performance metrics performance tuning real user monitoring response time scalability soak testing spike testing stress testing test scenarios test scripts throughput virtual users

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Load Testing Process
Confidence
0.92
Version strategy
NOT_APPLICABLE

Maturity reasoning: Load testing is a standard QA/performance practice and appears in many job descriptions for SRE, QA, and backend roles; tools like JMeter, k6, and Gatling are widely referenced in hiring pipelines.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
3553
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Backend Service Performance and Scalability Tuning Catalog dimension db id 389

    Library dimension (catalog)

    Roles linked in library: Kotlin Backend Developer, Scala Backend Developer

  • Performance and Scalability Tuning Catalog dimension db id 11

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Backend Service Performance and Scalability Tuning
backend-service-performance-and-scalability-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Performance and Scalability Tuning
performance-and-scalability-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Datadog Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Datadog id=779 · datadog

Aliases — catalog

  • Datadog (CANONICAL) primary

Context tags (catalog)

APM AWS DogStatsD Kubernetes OpenTelemetry RUM SIEM SLO alerting alerts analytics cloud dashboards incident management infrastructure integration integrations logs metrics monitoring monitors performance real-time synthetics traces tracing

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Observability Platform
Vendor
Datadog, Inc.
License
other_open
Year introduced
2010
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Datadog appears frequently in SRE/DevOps job descriptions and is a standard observability platform alongside Prometheus/Grafana, indicating broad market adoption.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
176
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Observability and Incident Triage Catalog dimension db id 155

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Observability and Operations Catalog dimension db id 143

    Library dimension (catalog)

    Roles linked in library: Cloud Architect

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Observability and Incident Triage
observability-and-incident-triage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Observability and Operations
observability-and-operations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Identity and Access Management 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
Security Tools
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Test Automation Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Testing Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Regression Testing Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Regression testing id=3758 · regression-testing

Aliases — catalog

  • Regression testing (CANONICAL) primary

Context tags (catalog)

bug tracking continuous integration defect management integration tests quality assurance smoke testing test automation test cases test coverage test plan test strategy test suite unit tests user acceptance testing version control

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Regression Testing
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Regression testing is a standard QA practice in most software JDs and test plans; CI/CD tools and vendor docs routinely include it as a core safeguard against reintroducing bugs.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
2940
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Magento Testing and Upgrade Safety Catalog dimension db id 405

    Library dimension (catalog)

    Roles linked in library: Magento Dev

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Magento Testing and Upgrade Safety
magento-testing-and-upgrade-safety
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Integration Testing Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Integration testing id=56 · integration-testing

Aliases — catalog

  • Integration testing (CANONICAL) primary
  • integration testing (CANONICAL)

Context tags (catalog)

API testing CI/CD Cucumber JUnit Selenium behavior-driven development continuous integration contract testing end-to-end end-to-end testing fixtures mocking pytest quality assurance regression testing smoke testing stubs system testing test automation test cases test coverage test data test frameworks test harness test strategy test suite test-driven development

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Testing Methodology
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: Integration testing is a standard QA skill in job descriptions across backend, frontend, and DevOps roles; it’s commonly paired with CI/CD and tools like Jest, Cypress, and Testcontainers.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
44
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Testing and Defect Resolution Catalog dimension db id 262

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Testing and Quality Assurance Catalog dimension db id 12

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer, Scala Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Testing and Defect Resolution
testing-and-defect-resolution
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Testing and Quality Assurance
testing-and-quality-assurance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Manual 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
Testing Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Automated 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
Testing Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Test Case Management 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
Testing Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Bug 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
Testing Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Relational Databases Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Relational Databases id=1345 · relational-databases

Aliases — catalog

  • Relational Databases (CANONICAL)

Context tags (catalog)

ACID Data Modeling Database Migration Entity-Relationship Indexes Joins MySQL Normalization Oracle PostgreSQL Query Optimization SQL Schema Design Stored Procedures Transactions

Stored enrichment (catalog DB)

Category
Domain
Sub-category
Relational Database Management
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Relational databases remain a hiring staple across most backend/data JDs, with PostgreSQL, MySQL, and SQL Server appearing routinely; cloud vendors also center managed RDBMS offerings, signaling broad adoption.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
37
Sub-category id
1018
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)
Windows 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
Operating Systems
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Browser Extensions 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
Web Development
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 skipped (dimension not under chosen role)
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)
PyTest in_db
Testing and Quality Assurance
testing-and-quality-assurance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Playwright in_db
Frontend Testing and E2E Automation
frontend-testing-and-e2e-automation
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Playwright in_db
Testing and Integration Validation
testing-and-integration-validation
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST in_db
API Design and Contracts
api-design-and-contracts
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST in_db
API Interface and Contract Design
api-interface-and-contract-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST in_db
Integration Protocols & Standards
integration-protocols-standards
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST in_db
Standards, Protocols & Compliance
standards-protocols-compliance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure Pipelines in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
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)
Git in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Azure DevOps in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQL in_db
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQL in_db
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQL in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Load Testing in_db
Backend Service Performance and Scalability Tuning
backend-service-performance-and-scalability-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Load Testing in_db
Performance and Scalability Tuning
performance-and-scalability-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Datadog in_db
Observability and Incident Triage
observability-and-incident-triage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Datadog in_db
Observability and Operations
observability-and-operations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Regression Testing in_db
Magento Testing and Upgrade Safety
magento-testing-and-upgrade-safety
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Integration Testing in_db
Testing and Defect Resolution
testing-and-defect-resolution
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Integration Testing in_db
Testing and Quality Assurance
testing-and-quality-assurance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Relational Databases in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Web UI Testing | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Browser Compatibility Testing | type=Testing Tools subtype=general nature=PRACTICE lifespan=SHORT_LIVED
canonical_skill_proposed UX | type=Soft Skills subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Usability Testing | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed TestRail | type=Test Case Management subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Jira | type=Bug Tracking subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Active Directory | type=Security Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Entra ID | type=Identity and Access Management subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Performance Testing | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Identity and Access Management | type=Security Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Test Automation | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Manual Testing | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Automated Testing | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Test Case Management | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Bug Tracking | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Windows | type=Operating Systems subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Browser Extensions | type=Web Development subtype=general nature=TOOL lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RoleQuality Assurance Engineer
CompanyOne Identity
ExperienceMinimum of 5+years of experience with at least 3+years in software testing
DomainIT Services & Consulting
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": {
    "source_marker": {
      "first_5_words": "One Identity enables organizations of",
      "last_5_words": "and add value to customers."
    },
    "text": "One Identity enables organizations of all sizes to better secure, manage, monitor, protect, and analyze information and infrastructure to help fuel innovation and drive their businesses forward. With team members around the globe, we intend to continue to grow revenues and add value to customers.",
    "word_count": 43
  },
  "certifications": [],
  "company_name": "One Identity",
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [
        "ITES",
        "BPO"
      ],
      "domain": "IT Services \u0026 Consulting"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "BTECH/BE - Computer Science / Electronics \u0026 Communication (or related)",
      "raw": "BE in CS, ECE, or related field, MS/MTech preferred",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": null,
    "min": 5,
    "raw": "Minimum of 5+years of experience with at least 3+years in software testing"
  },
  "job_locations": [],
  "role": "Quality Assurance Engineer",
  "role_aliases": [
    "QA Engineer",
    "Quality Engineer",
    "Software Tester"
  ],
  "role_archetype": "QA",
  "roles_and_responsibilities": [
    {
      "bullet_count": 5,
      "heading": "Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Managing test cases; defining",
        "last_5_words": "to accommodate overlap time"
      },
      "text": "\u2022 Managing test cases; defining test scenarios, preconditions, test steps, expected results, test prioritization, and risk assessment\n\u2022 Execution of automated and manual test cases to validate release candidates, release execution processes, and released software and platform changes\n\u2022 Coding of automated tests that perform test cases which evaluate expected results against actual results\n\u2022 Working in an agile scrum process; refine requirements, assess effort, test development and execution, documentation and reporting, perform demos, and retrospectives\n\u2022 Close cooperation with a globally distributed team of developers, testers, architects, escalation engineers and platform engineers which may necessitate occasional flexibility to accommodate overlap time",
      "word_count": 90
    },
    {
      "bullet_count": 11,
      "heading": "Qualifications",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Structured and logical approach",
        "last_5_words": "and methodologies"
      },
      "text": "\u2022 Structured and logical approach to software quality with the ability to learn, and think creatively to solve issues\n\u2022 Hands-on experience programming with Python- PyTest and Playwright.\n\u2022 Well versed in REST API endpoint testing\n\u2022 Familiar with Azure Pipelines \u2013 integration and regression automation\n\u2022 Experience with web Ul testing, browser compatibility testing, understanding of UX principles and usability testing\n\u2022 Experience with test case management and bug tracking tools such as TestRail and Jira\n\u2022 Ability to utilize a version control system (Git) to manage source code\n\u2022 Good team collaboration skills with a pragmatic and positive attitude\n\u2022 Excellent written and verbal communication skills in English\n\u2022 Minimum of 5+years of experience with at least 3+years in software testing\n\u2022 BE in CS, ECE, or related field, MS/MTech preferred\n\u2022 Previous experience (3+ years) in an enterprise software quality assurance field utilizing test automation frameworks and methodologies",
      "word_count": 139
    },
    {
      "bullet_count": 10,
      "heading": "Preferences",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Understanding of Identity and",
        "last_5_words": "security \u0026 compliance"
      },
      "text": "\u2022 Understanding of Identity and Access Management (IAM) functionality and technologies (Nice to have)\n\u2022 Experience using Azure DevOps working with features, work items, bugs, tasks, etc.\n\u2022 Experience with Active Directory\n\u2022 Knowledge of Entra ID\n\u2022 Knowledgeable of testing tools and frameworks; Playwright\n\u2022 Experience with relational databases and utilizing SQL for test cases\n\u2022 Ability to test a variety of installed software such as browser extensions and Windows applications\n\u2022 Previous experience with performance/load testing\n\u2022 Knowledge of synthetic testing via Datadog\n\u2022 Experience validating application and data security \u0026 compliance",
      "word_count": 107
    }
  ],
  "urls": [
    {
      "type": "careers",
      "url": "https://quest.com/careers"
    }
  ]
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Python"
    },
    {
      "is_primary": true,
      "skill_name": "PyTest"
    },
    {
      "is_primary": true,
      "skill_name": "Playwright"
    },
    {
      "is_primary": true,
      "skill_name": "REST"
    },
    {
      "is_primary": true,
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API 2 — extract-details
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      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Security Tools",
          "skill_nature": "CONCEPT",
          "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": "identity-and-access-management",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Test Automation",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Testing Tools",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "test-automation",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Regression testing",
          "alias_type": "CANONICAL",
          "id": 5380,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "Regression testing",
        "id": 3758,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "regression-testing",
        "sub_category_id": 2940,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Magento Testing and Upgrade Safety",
            "id": 405,
            "rationale": "Validation practices used to keep Magento customizations stable across releases and platform upgrades. This cluster is coherent because Magento work must protect storefront behavior while remaining compatible with core and extension updates.",
            "slug": "magento-testing-and-upgrade-safety",
            "source": "db"
          },
          "input_skill": "Regression Testing",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Magento Dev",
              "id": 231,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "magento-dev",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Regression Testing",
      "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": "Integration testing",
          "alias_type": "CANONICAL",
          "id": 2945,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "integration testing",
          "alias_type": "CANONICAL",
          "id": 193,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "Integration testing",
        "id": 56,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "integration-testing",
        "sub_category_id": 44,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Testing and Defect Resolution",
            "id": 262,
            "rationale": "Validates Pega rules, flows, and integrations and then troubleshoots defects found in lower environments or production. This is a coherent cluster because the role is expected to verify platform behavior and fix rule-level issues.",
            "slug": "testing-and-defect-resolution",
            "source": "db"
          },
          "input_skill": "Integration Testing",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Pega Developer",
              "id": 24,
              "rationale": null,
              "role_archetype": null,
              "slug": "pega-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Testing and Quality Assurance",
            "id": 12,
            "rationale": "Backend-specific test strategies used to validate service behavior and integration points. Covers automated test layers, contract checks, fixtures, and regression prevention.",
            "slug": "testing-and-quality-assurance",
            "source": "db"
          },
          "input_skill": "Integration Testing",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": ".NET Backend Developer",
              "id": 83,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "dotnet-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Backend Developer",
              "id": 1,
              "rationale": null,
              "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
              "slug": "backend-engineer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "PHP Backend Developer",
              "id": 86,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "php-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Integration Testing",
      "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": "Manual Testing",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Testing Tools",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "manual-testing",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Automated Testing",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Testing Tools",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "automated-testing",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Test Case Management",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Testing Tools",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "test-case-management",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Bug Tracking",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Testing Tools",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "bug-tracking",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Relational Databases",
          "alias_type": "CANONICAL",
          "id": 1988,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 37,
        "display_name": "Relational Databases",
        "id": 1345,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "relational-databases",
        "sub_category_id": 1018,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "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": "Relational Databases",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Relational Databases",
      "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": "Windows",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Operating Systems",
          "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": "windows",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Browser Extensions",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Web Development",
          "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": "browser-extensions",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Web UI Testing",
    "Browser Compatibility Testing",
    "UX",
    "Usability Testing",
    "TestRail",
    "Jira",
    "Active Directory",
    "Entra ID",
    "Performance Testing",
    "Identity and Access Management",
    "Test Automation",
    "Manual Testing",
    "Automated Testing",
    "Test Case Management",
    "Bug Tracking",
    "Windows",
    "Browser Extensions"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Test Automation Engineer",
    "id": 52,
    "rationale": "Domain=Testing \u0026 Quality; The JD is centered on automated test coding, Playwright/Python, API/UI regression automation, and test frameworks, which best matches a Test Automation Engineer.",
    "role_archetype": "QA",
    "slug": "test-automation-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Python",
      "tag": "in_db"
    },
    {
      "skill": "PyTest",
      "tag": "in_db"
    },
    {
      "skill": "Playwright",
      "tag": "in_db"
    },
    {
      "skill": "REST",
      "tag": "in_db"
    },
    {
      "skill": "Azure Pipelines",
      "tag": "in_db"
    },
    {
      "skill": "Agile",
      "tag": "in_db"
    },
    {
      "skill": "Scrum",
      "tag": "in_db"
    },
    {
      "skill": "Web UI Testing",
      "tag": "new"
    },
    {
      "skill": "Browser Compatibility Testing",
      "tag": "new"
    },
    {
      "skill": "UX",
      "tag": "new"
    },
    {
      "skill": "Usability Testing",
      "tag": "new"
    },
    {
      "skill": "TestRail",
      "tag": "new"
    },
    {
      "skill": "Jira",
      "tag": "new"
    },
    {
      "skill": "Git",
      "tag": "in_db"
    },
    {
      "skill": "Azure DevOps",
      "tag": "in_db"
    },
    {
      "skill": "Active Directory",
      "tag": "new"
    },
    {
      "skill": "Entra ID",
      "tag": "new"
    },
    {
      "skill": "SQL",
      "tag": "in_db"
    },
    {
      "skill": "Performance Testing",
      "tag": "new"
    },
    {
      "skill": "Load Testing",
      "tag": "in_db"
    },
    {
      "skill": "Datadog",
      "tag": "in_db"
    },
    {
      "skill": "Identity and Access Management",
      "tag": "new"
    },
    {
      "skill": "Test Automation",
      "tag": "new"
    },
    {
      "skill": "Regression Testing",
      "tag": "in_db"
    },
    {
      "skill": "Integration Testing",
      "tag": "in_db"
    },
    {
      "skill": "Manual Testing",
      "tag": "new"
    },
    {
      "skill": "Automated Testing",
      "tag": "new"
    },
    {
      "skill": "Test Case Management",
      "tag": "new"
    },
    {
      "skill": "Bug Tracking",
      "tag": "new"
    },
    {
      "skill": "Relational Databases",
      "tag": "in_db"
    },
    {
      "skill": "Windows",
      "tag": "new"
    },
    {
      "skill": "Browser Extensions",
      "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": 52,
        "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": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cloud Security Engineer",
            "id": 23,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-security-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 52,
        "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": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 435,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "fullstack-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 52,
        "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": 52,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages and Scripting",
          "id": 59,
          "rationale": "Languages used to write security automation, analysis scripts, detection logic, and remediation helpers. This is the primary implementation surface for a cybersecurity engineer across tooling and response workflows.",
          "slug": "programming-languages-and-scripting",
          "source": "db"
        },
        "dimension_id": 59,
        "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": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 52,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for Data Work",
          "id": 21,
          "rationale": "Languages used to implement data pipelines, transformations, and operational glue. This is the primary coding surface for building ingestion, enrichment, and automation logic in data engineering.",
          "slug": "programming-languages-for-data-work",
          "source": "db"
        },
        "dimension_id": 21,
        "input_skill": "Python",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Data Engineer",
            "id": 2,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-engineer",
            "source": "db"
          }
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        "skill_dimension_saved": true,
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