Pipeline run
8b6613ca-0022-493a-94ca-2183b202ac02
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionvocab breakdown (legacy)
Signals
Post-classification
Captured for admin review
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Backend Developer
→Python Backend Developer
sub-role · 0.99 domain · Software Engineering CASE DOMAINslug: backend-engineer · id: 1 · source: db · sub-role slug: python-backend-developer
Domain=Software Engineering → sub-role python-backend-developer; The JD centers on Python backend work with Flask/Gunicorn, REST services, testing, Azure, and deployment tooling, which best matches Backend Developer.
Matched skills
Matched dimensions
Matched KRAs
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
Job description
We are looking for Python Developer, who can join immediately. Below is the JD. Exp - 3 - 5 years Key skills: Python, WSGI (Flask, Gunicorn), gevent, Pytest, REST Service, Azure, Azure DevOps, K8s, Istio, Shell Scripting(Bash & PowerShell) Must have Skills: Python, gevent, Pytest, WSGI (Flask, Gunicorn), Azure Good to have Skills: Azure, Azure DevOps, K8s, Istio, Shell Scripting (Bash & PowerShell), NETCore, Angular 4 & above About VRIZE VRIZE is a Global Digital & Data Engineering company, committed to delivering end-to-end Digital solutions and services to its customers worldwide. We offer business-friendly solutions across industry verticals that include Banking, Financial Services, Healthcare & Insurance, Manufacturing, and Retail. The company has strategic business alliances with industry leaders such as Adobe, IBM Sterling Commerce, Blue Yonder, IBM, Microsoft, Docker, Sisense, Competera, Snowflake, and Tableau. VRIZE is headquartered out of Tampa (Florida) with a team size of 410 employees globally, currently, 100% of the clients undertaken are in the United States. Delivery centers are distributed in the US, Canada, Serbia, and India. Having stellar growth and future projections of 100% YOY for the last 3 years, the company has been successfully addressing its clients’ digital disruption needs. Our continued success depends to a large extent on our ability to remain at the forefront of disruptive developments in the field of information technology and leaders/team members joining the force are expected to replicate the same. VRIZE is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, marital status, age, national origin, ancestry, disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Individuals with disabilities are provided reasonable accommodation.
Skills from this JD
Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.
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)
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 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 saved |
|
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) |
Aliases — catalog
- WSGI (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Protocol
- Sub-category
- Web Application Protocol
- Vendor
- Python Software Foundation
- License
- mit
- Year introduced
- 2003
- Confidence
- 0.95
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: WSGI remains a standard Python web app interface and still appears in many Django/Flask deployment JDs, though ASGI is increasingly listed for async workloads.
Skill profile (library / DB)
- Skill nature
- PROTOCOL
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 10
- Sub-category id
- 1784
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Web Application Frameworks Catalog dimension db id 2
Library dimension (catalog)
Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer, Java Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Web Application Frameworks
web-application-frameworks
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved |
Aliases — catalog
- Flask (CANONICAL) primary
- flask 2 (VERSION)
- flask 2.x (VERSION)
- flask 3 (VERSION)
- flask 3.x (VERSION)
- flask2 (VERSION)
- flask3 (VERSION)
- flask>=3 (VERSION)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Framework
- Sub-category
- Web Framework
- Vendor
- Pallets Projects
- License
- bsd
- Year introduced
- 2010
- Confidence
- 0.99
- Version strategy
- SEPARATE_ENTITY
- Version tag
- 3.x
Maturity reasoning: Flask appears in many Python web developer job postings and remains a common lightweight framework in hiring pipelines, though often alongside Django/FastAPI rather than as a niche tool.
Skill profile (library / DB)
- Skill nature
- FRAMEWORK
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 5
- Sub-category id
- 35
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
React Frontend Development Catalog dimension db id 96
Library dimension (catalog)
-
Web Application Frameworks Catalog dimension db id 2
Library dimension (catalog)
Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer, Java Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer
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) |
|
Web Application Frameworks
web-application-frameworks
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Web Frameworks
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Web Frameworks
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- pytest (CANONICAL) primary
Context tags (catalog)
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 saved |
Aliases — catalog
- REST (CANONICAL) primary
Context tags (catalog)
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
-
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: 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 saved |
|
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) |
Aliases — catalog
- Azure (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Platform
- Sub-category
- Cloud Platform
- Vendor
- Microsoft
- License
- proprietary
- Year introduced
- 2010
- Confidence
- 0.99
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Azure is broadly adopted and frequently appears in cloud/platform job descriptions alongside AWS and GCP; Microsoft’s ongoing enterprise investment and Azure certification demand signal strong hiring-pipeline relevance.
Skill profile (library / DB)
- Skill nature
- PLATFORM
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 9
- Sub-category id
- 46
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Cloud Platforms Catalog dimension db id 20
Library dimension (catalog)
Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer
-
Cloud Platforms & Managed Services Catalog dimension db id 221
Library dimension (catalog)
Roles linked in library: Fullstack Developer, Go Backend Developer, Node.js Backend Developer
-
Cloud Platforms for AI Deployment Catalog dimension db id 211
Library dimension (catalog)
Roles linked in library: AI Engineer
-
Cloud Provider Platforms Catalog dimension db id 131
Library dimension (catalog)
Roles linked in library: Cloud Architect, Cloud Security Engineer
-
Cloud Security Posture Tools Catalog dimension db id 64
Library dimension (catalog)
Roles linked in library: Cloud Security Engineer, Cyber Security Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Cloud Platforms
cloud-platforms
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved |
|
Cloud Platforms & Managed Services
cloud-platforms-managed-services
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Cloud Provider Platforms
cloud-provider-platforms
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Cloud Security Posture Tools
cloud-security-posture-tools
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Aliases — catalog
- Azure DevOps (CANONICAL)
Context tags (catalog)
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) |
Aliases — catalog
- Kubernetes (CANONICAL) primary
- Kubernetes 1.0+ (VERSION)
- Kubernetes 1.x (VERSION)
- Kubernetes v1 (VERSION)
- k8s (VERSION)
- kubernetes 1.x (VERSION)
- kubernetes latest (VERSION)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Platform
- Sub-category
- Container Orchestration Platform
- Vendor
- Cloud Native Computing Foundation
- License
- apache_2
- Year introduced
- 2014
- Confidence
- 0.90
- Version strategy
- SEPARATE_ENTITY
- Version tag
- 1.30
Maturity reasoning: Broadly adopted in cloud-native stacks; Kubernetes appears in a large share of DevOps/SRE job descriptions and is the default orchestration platform across major cloud vendors.
Skill profile (library / DB)
- Skill nature
- PLATFORM
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 9
- Sub-category id
- 557
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Container Orchestration Platforms Catalog dimension db id 134
Library dimension (catalog)
Roles linked in library: Cloud Architect, DevOps Engineer
-
Kubernetes for ML Workloads Catalog dimension db id 47
Library dimension (catalog)
Roles linked in library: ML Engineer, MLOps Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Container Orchestration Platforms
container-orchestration-platforms
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Aliases — catalog
- Istio (CANONICAL) primary
- istio 1.22 (VERSION)
- istio 1.22.x (VERSION)
- istio 1.23 (VERSION)
- istio 1.23.x (VERSION)
- istio 1.24 (VERSION)
- istio 1.24.x (VERSION)
- istio-1.22 (VERSION)
- istio-1.23 (VERSION)
- istio-1.24 (VERSION)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Framework
- Sub-category
- Service Mesh Framework
- Vendor
- License
- apache_2
- Year introduced
- 2017
- Confidence
- 0.90
- Version strategy
- SEPARATE_ENTITY
- Version tag
- 1.24
Maturity reasoning: Istio appears frequently in cloud-native/SRE job descriptions and is a standard service-mesh option alongside Linkerd/Consul in Kubernetes stacks; strong GitHub activity and CNCF adoption signal broad market use.
Skill profile (library / DB)
- Skill nature
- FRAMEWORK
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 5
- Sub-category id
- 608
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Service Mesh and Traffic Management Catalog dimension db id 135
Library dimension (catalog)
Roles linked in library: Cloud Architect, DevOps Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Service Mesh and Traffic Management
service-mesh-and-traffic-management
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Aliases — catalog
- Bash (VERSION)
- Bash 3.x (VERSION)
- Bash 4.x (VERSION)
- Bash 5.x (VERSION)
- GNU Bash (VERSION)
- bash (VERSION)
- bash 3 (VERSION)
- bash 3.x (VERSION)
- bash 4 (VERSION)
- bash 4.x (VERSION)
- bash 5 (VERSION)
- bash 5.x (VERSION)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Language
- Sub-category
- Shell Language
- Vendor
- GNU Project
- License
- gpl_v3
- Year introduced
- 1989
- Confidence
- 0.99
- Version strategy
- SEPARATE_ENTITY
- Version tag
- 5.x
Maturity reasoning: Bash appears in many DevOps, SRE, and Linux admin job descriptions and remains the default shell on most Unix-like systems, with no vendor sunset or clear replacement in mainstream hiring.
Skill profile (library / DB)
- Skill nature
- LANGUAGE
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 6
- Sub-category id
- 238
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
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
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
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) |
Aliases — catalog
- PowerShell (CANONICAL) primary
- PowerShell 5 (VERSION)
- PowerShell 5.1 (VERSION)
- PowerShell 6 (VERSION)
- PowerShell 7 (VERSION)
- PowerShell 7.x (VERSION)
- PowerShell Core (VERSION)
- Windows PowerShell (VERSION)
- powershell 7 (VERSION)
- powershell 7.x (VERSION)
- powershell core (VERSION)
- ps 7 (VERSION)
- pwsh (VERSION)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Language
- Sub-category
- Scripting Language
- Vendor
- Microsoft
- License
- mit
- Year introduced
- 2006
- Confidence
- 0.98
- Version strategy
- SEPARATE_ENTITY
- Version tag
- 7
Maturity reasoning: Common in Windows/admin and DevOps job descriptions; Microsoft continues active development and it remains a standard automation language alongside Bash in enterprise tooling.
Skill profile (library / DB)
- Skill nature
- LANGUAGE
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 6
- Sub-category id
- 38
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Programming Languages and Scripting Catalog dimension db id 59
Library dimension (catalog)
Roles linked in library: Cyber Security Engineer
-
Programming Languages for ML Systems Catalog dimension db id 39
Library dimension (catalog)
Roles linked in library: ML Engineer, MLOps Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Programming Languages and Scripting
programming-languages-and-scripting
|
✓ | — | 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) |
Aliases — catalog
- .NET (CANONICAL) primary
- .NET 5 (VERSION)
- .NET 6 (VERSION)
- .NET 7 (VERSION)
- .NET 8 (VERSION)
- .NET Core (VERSION)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Runtime
- Sub-category
- Runtime Platform
- Vendor
- Microsoft
- License
- mit
- Year introduced
- 2002
- Confidence
- 0.90
- Version strategy
- SEPARATE_ENTITY
- Version tag
- .NET (modern, i.e., .NET 6+)
Maturity reasoning: .NET appears in large volumes of job postings across enterprise, cloud, and backend roles, and Microsoft continues active releases and LTS support, indicating broad hiring-pipeline adoption.
Skill profile (library / DB)
- Skill nature
- RUNTIME
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 67
- Sub-category id
- 2564
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
C# and .NET Languages Catalog dimension db id 362
Library dimension (catalog)
Roles linked in library: .NET Backend Developer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
C# and .NET Languages
c-and-net-languages
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Aliases — catalog
- Angular (CANONICAL) primary
- Angular 1 (VERSION)
- Angular 1.x (VERSION)
- Angular 10 (VERSION)
- Angular 11 (VERSION)
- Angular 12 (VERSION)
- Angular 13 (VERSION)
- Angular 14 (VERSION)
- Angular 15 (VERSION)
- Angular 16 (VERSION)
- Angular 17 (VERSION)
- Angular 2 (VERSION)
- Angular 2+ (VERSION)
- Angular 4 (VERSION)
- Angular 5 (VERSION)
- Angular 6 (VERSION)
- Angular 7 (VERSION)
- Angular 8 (VERSION)
- Angular 9 (VERSION)
- AngularJS (VERSION)
- angular 1 (VERSION)
- angular 1.x (VERSION)
- angular 10 (VERSION)
- angular 11 (VERSION)
- angular 12 (VERSION)
- angular 13 (VERSION)
- angular 14 (VERSION)
- angular 15 (VERSION)
- angular 16 (VERSION)
- angular 17 (VERSION)
- angular 18 (VERSION)
- angular 19 (VERSION)
- angular 2 (VERSION)
- angular 2+ (VERSION)
- angular 2.x (VERSION)
- angular 3 (VERSION)
- angular 4 (VERSION)
- angular 5 (VERSION)
- angular 6 (VERSION)
- angular 7 (VERSION)
- angular 8 (VERSION)
- angular 9 (VERSION)
- angular17 (VERSION)
- angular2 (VERSION)
- angularjs (VERSION)
- angularjs 1.x (VERSION)
- ng (VERSION)
- ng1 (VERSION)
- ng2 (VERSION)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Framework
- Sub-category
- Frontend Framework
- Vendor
- License
- mit
- Year introduced
- 2010
- Confidence
- 0.98
- Version strategy
- SEPARATE_ENTITY
- Version tag
- 2+
Maturity reasoning: Angular remains widely listed in frontend job descriptions and enterprise stacks; Google continues maintaining Angular, and it is a common hiring-pipeline skill alongside React/Vue rather than a sunset technology.
Skill profile (library / DB)
- Skill nature
- FRAMEWORK
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 5
- Sub-category id
- 1072
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Angular Component Model and Templates Catalog dimension db id 303
Library dimension (catalog)
Roles linked in library: Angular Frontend Developer
-
Application Frameworks & Libraries Catalog dimension db id 451
Library dimension (catalog)
Roles linked in library: Sitecore Dev
-
UI Frameworks and Rendering Catalog dimension db id 115
Library dimension (catalog)
Roles linked in library: Frontend Developer, Fullstack Developer, Fullstack Developer, Hybrid Mobile Developer, Ionic Developer, Web Developer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Angular Component Model and Templates
angular-component-model-and-templates
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Application Frameworks & Libraries
application-frameworks-libraries
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
UI Frameworks and Rendering
ui-frameworks-and-rendering
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
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 saved | |
| 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) | |
| WSGI | in_db |
Web Application Frameworks
web-application-frameworks
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved | |
| Flask | in_db |
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Flask | in_db |
Web Application Frameworks
web-application-frameworks
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved | |
| Pytest | in_db |
Testing and Quality Assurance
testing-and-quality-assurance
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved | |
| REST | in_db |
API Design and Contracts
api-design-and-contracts
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved | |
| 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 | in_db |
Cloud Platforms
cloud-platforms
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved | |
| Azure | in_db |
Cloud Platforms & Managed Services
cloud-platforms-managed-services
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Azure | in_db |
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Azure | in_db |
Cloud Provider Platforms
cloud-provider-platforms
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Azure | in_db |
Cloud Security Posture Tools
cloud-security-posture-tools
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Azure DevOps | in_db |
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Kubernetes | in_db |
Container Orchestration Platforms
container-orchestration-platforms
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Kubernetes | in_db |
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Istio | in_db |
Service Mesh and Traffic Management
service-mesh-and-traffic-management
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Bash | in_db |
Programming Languages and Scripting
programming-languages-and-scripting
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Bash | in_db |
Programming Languages for Data Work
programming-languages-for-data-work
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| PowerShell | in_db |
Programming Languages and Scripting
programming-languages-and-scripting
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| PowerShell | in_db |
Programming Languages for ML Systems
programming-languages-for-ml-systems
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| .NET Core | in_db |
C# and .NET Languages
c-and-net-languages
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Angular | in_db |
Angular Component Model and Templates
angular-component-model-and-templates
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Angular | in_db |
Application Frameworks & Libraries
application-frameworks-libraries
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Angular | in_db |
UI Frameworks and Rendering
ui-frameworks-and-rendering
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Library artifacts (this run)
| Kind | Detail | DB id |
|---|---|---|
| canonical_skill_proposed | Gunicorn | type=Web Frameworks subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | gevent | type=Web Frameworks subtype=general nature=TOOL lifespan=MULTI_YEAR |
nano JD Parser — gpt-4.1-nano click to toggle
Show raw JSON
{
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "VRIZE is a Global Digital",
"last_5_words": "provided reasonable accommodation."
},
"text": "VRIZE is a Global Digital \u0026 Data Engineering company, committed to delivering end-to-end Digital solutions and services to its customers worldwide. We offer business-friendly solutions across industry verticals that include Banking, Financial Services, Healthcare \u0026 Insurance, Manufacturing, and Retail. The company has strategic business alliances with industry leaders such as Adobe, IBM Sterling Commerce, Blue Yonder, IBM, Microsoft, Docker, Sisense, Competera, Snowflake, and Tableau. VRIZE is headquartered out of Tampa (Florida) with a team size of 410 employees globally, currently, 100% of the clients undertaken are in the United States. Delivery centers are distributed in the US, Canada, Serbia, and India. Having stellar growth and future projections of 100% YOY for the last 3 years, the company has been successfully addressing its clients\u2019 digital disruption needs. Our continued success depends to a large extent on our ability to remain at the forefront of disruptive developments in the field of information technology and leaders/team members joining the force are expected to replicate the same. VRIZE is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, marital status, age, national origin, ancestry, disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Individuals with disabilities are provided reasonable accommodation.",
"word_count": 284
},
"certifications": [],
"company_name": "VRIZE",
"ctc": null,
"domain": {
"primary": {
"aliases": [
"Digital Solutions",
"Data Engineering"
],
"domain": "IT Services \u0026 Consulting"
},
"secondary": null
},
"education": [],
"experience": {
"max": 5,
"min": 3,
"raw": "3 - 5 years"
},
"job_locations": [
{
"aliases": [
"Tampa, FL"
],
"city": "Tampa",
"country": "United States",
"state": "Florida",
"work_mode": "null"
}
],
"role": "Python Developer",
"role_aliases": [
"Python Engineer",
"Software Developer",
"Backend Developer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 0,
"heading": "Key skills",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Python, WSGI (Flask, Gunicorn),",
"last_5_words": "Bash \u0026 PowerShell"
},
"text": "Python, WSGI (Flask, Gunicorn), gevent, Pytest, REST Service, Azure, Azure DevOps, K8s, Istio, Shell Scripting(Bash \u0026 PowerShell)",
"word_count": 24
},
{
"bullet_count": 0,
"heading": "Must have Skills",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Python, gevent, Pytest, WSGI",
"last_5_words": "Flask, Gunicorn), Azure"
},
"text": "Python, gevent, Pytest, WSGI (Flask, Gunicorn), Azure",
"word_count": 12
},
{
"bullet_count": 0,
"heading": "Good to have Skills",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Azure, Azure DevOps, K8s,",
"last_5_words": "Angular 4 \u0026 above"
},
"text": "Azure, Azure DevOps, K8s, Istio, Shell Scripting (Bash \u0026 PowerShell), NETCore, Angular 4 \u0026 above",
"word_count": 20
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "Python"
},
{
"is_primary": true,
"skill_name": "WSGI"
},
{
"is_primary": true,
"skill_name": "Flask"
},
{
"is_primary": true,
"skill_name": "Gunicorn"
},
{
"is_primary": true,
"skill_name": "gevent"
},
{
"is_primary": true,
"skill_name": "Pytest"
},
{
"is_primary": true,
"skill_name": "REST"
},
{
"is_primary": true,
"skill_name": "Azure"
},
{
"is_primary": true,
"skill_name": "Azure DevOps"
},
{
"is_primary": true,
"skill_name": "Kubernetes"
},
{
"is_primary": true,
"skill_name": "Istio"
},
{
"is_primary": true,
"skill_name": "Bash"
},
{
"is_primary": true,
"skill_name": "PowerShell"
},
{
"is_primary": true,
"skill_name": ".NET Core"
},
{
"is_primary": true,
"skill_name": "Angular"
}
],
"jd_role": {
"display_name": "Python Developer",
"rationale": null,
"role_aliases": [
"Python Engineer",
"Software Developer",
"Backend Developer"
],
"role_archetype": "Engineering",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "VRIZE is a Global Digital",
"last_5_words": "provided reasonable accommodation."
},
"text": "VRIZE is a Global Digital \u0026 Data Engineering company, committed to delivering end-to-end Digital solutions and services to its customers worldwide. We offer business-friendly solutions across industry verticals that include Banking, Financial Services, Healthcare \u0026 Insurance, Manufacturing, and Retail. The company has strategic business alliances with industry leaders such as Adobe, IBM Sterling Commerce, Blue Yonder, IBM, Microsoft, Docker, Sisense, Competera, Snowflake, and Tableau. VRIZE is headquartered out of Tampa (Florida) with a team size of 410 employees globally, currently, 100% of the clients undertaken are in the United States. Delivery centers are distributed in the US, Canada, Serbia, and India. Having stellar growth and future projections of 100% YOY for the last 3 years, the company has been successfully addressing its clients\u2019 digital disruption needs. Our continued success depends to a large extent on our ability to remain at the forefront of disruptive developments in the field of information technology and leaders/team members joining the force are expected to replicate the same. VRIZE is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, marital status, age, national origin, ancestry, disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Individuals with disabilities are provided reasonable accommodation.",
"word_count": 284
},
"certifications": [],
"company_name": "VRIZE",
"ctc": null,
"domain": {
"primary": {
"aliases": [
"Digital Solutions",
"Data Engineering"
],
"domain": "IT Services \u0026 Consulting"
},
"secondary": null
},
"education": [],
"experience": {
"max": 5,
"min": 3,
"raw": "3 - 5 years"
},
"job_locations": [
{
"aliases": [
"Tampa, FL"
],
"city": "Tampa",
"country": "United States",
"state": "Florida",
"work_mode": "null"
}
],
"role": "Python Developer",
"role_aliases": [
"Python Engineer",
"Software Developer",
"Backend Developer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
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"bullet_count": 0,
"heading": "Key skills",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Python, WSGI (Flask, Gunicorn),",
"last_5_words": "Bash \u0026 PowerShell"
},
"text": "Python, WSGI (Flask, Gunicorn), gevent, Pytest, REST Service, Azure, Azure DevOps, K8s, Istio, Shell Scripting(Bash \u0026 PowerShell)",
"word_count": 24
},
{
"bullet_count": 0,
"heading": "Must have Skills",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Python, gevent, Pytest, WSGI",
"last_5_words": "Flask, Gunicorn), Azure"
},
"text": "Python, gevent, Pytest, WSGI (Flask, Gunicorn), Azure",
"word_count": 12
},
{
"bullet_count": 0,
"heading": "Good to have Skills",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Azure, Azure DevOps, K8s,",
"last_5_words": "Angular 4 \u0026 above"
},
"text": "Azure, Azure DevOps, K8s, Istio, Shell Scripting (Bash \u0026 PowerShell), NETCore, Angular 4 \u0026 above",
"word_count": 20
}
],
"urls": []
},
"rejected": false,
"rejection_reason": null,
"run_id": "8b6613ca-0022-493a-94ca-2183b202ac02",
"stage3_signals": {
"alias_found": true,
"alias_match_roles": [
{
"display_name": "Python Backend Developer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 80,
"score": 1.0,
"slug": "python-backend-developer",
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},
{
"display_name": "Backend Developer",
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}
],
"kra_match_roles": [
{
"display_name": "Backend Developer",
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{
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"similarity": 0.4903
},
{
"kra_text": "Configures Docker containers, deployment descriptors, environment variables, and CI/CD pipeline stages for backend service releases.",
"sentence": "Azure, Azure DevOps, K8s, Istio, Shell Scripting (Bash \u0026 PowerShell), NETCore, Angular 4 \u0026 above",
"similarity": 0.45
},
{
"kra_text": "Implements server-side business logic, REST API endpoints, and microservice handlers using Java, Python, Go, or Node.js to process application requests and enforce business rules.",
"sentence": "Python, gevent, Pytest, WSGI (Flask, Gunicorn), Azure",
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}
],
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},
{
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{
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"sentence": "Azure, Azure DevOps, K8s, Istio, Shell Scripting (Bash \u0026 PowerShell), NETCore, Angular 4 \u0026 above",
"similarity": 0.4828
},
{
"kra_text": "Provisions and manages cloud infrastructure on AWS, Azure, or GCP using Terraform or CloudFormation to enforce infrastructure-as-code standards.",
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{
"kra_text": "Provisions and manages cloud infrastructure on AWS, Azure, or GCP using Terraform or CloudFormation to enforce infrastructure-as-code standards.",
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}
],
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"matched_skills": null,
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"score": 0.416,
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},
{
"display_name": "Cloud Architect",
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{
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"sentence": "Azure, Azure DevOps, K8s, Istio, Shell Scripting (Bash \u0026 PowerShell), NETCore, Angular 4 \u0026 above",
"similarity": 0.4449
},
{
"kra_text": "Defines cloud adoption roadmaps, lift-and-shift vs. refactor migration strategies, and landing zone architectures for workloads moving to AWS, Azure, or GCP.",
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},
{
"kra_text": "Defines cloud adoption roadmaps, lift-and-shift vs. refactor migration strategies, and landing zone architectures for workloads moving to AWS, Azure, or GCP.",
"sentence": "Python, gevent, Pytest, WSGI (Flask, Gunicorn), Azure",
"similarity": 0.3662
}
],
"matched_count": null,
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"role_id": 9,
"score": 0.4019,
"slug": "cloud-architect",
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},
{
"display_name": "Fullstack Developer",
"kra_matches": [
{
"kra_text": "Delivers features through CI/CD pipelines using automated tests, staged rollouts, feature flags, and incremental deployments.",
"sentence": "Azure, Azure DevOps, K8s, Istio, Shell Scripting (Bash \u0026 PowerShell), NETCore, Angular 4 \u0026 above",
"similarity": 0.4235
},
{
"kra_text": "Implements complete product features end-to-end from database schema design through backend API to frontend UI using JavaScript, TypeScript, Python, or Ruby on Rails.",
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"similarity": 0.3937
},
{
"kra_text": "Builds and integrates client-side React or Vue components with server-side Node.js or Django APIs, managing bidirectional data flow across frontend and backend layers.",
"sentence": "Python, gevent, Pytest, WSGI (Flask, Gunicorn), Azure",
"similarity": 0.3718
}
],
"matched_count": null,
"matched_skills": null,
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"score": 0.3963,
"slug": "full-stack-engineer",
"total_count": null
},
{
"display_name": "Data Engineer",
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{
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},
{
"kra_text": "Develops batch and real-time streaming data pipelines using Apache Spark, Apache Kafka, Apache Flink, or Airflow for data movement and processing at scale.",
"sentence": "Azure, Azure DevOps, K8s, Istio, Shell Scripting (Bash \u0026 PowerShell), NETCore, Angular 4 \u0026 above",
"similarity": 0.3985
},
{
"kra_text": "Develops batch and real-time streaming data pipelines using Apache Spark, Apache Kafka, Apache Flink, or Airflow for data movement and processing at scale.",
"sentence": "Python, gevent, Pytest, WSGI (Flask, Gunicorn), Azure",
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}
],
"matched_count": null,
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"role_id": 2,
"score": 0.3906,
"slug": "data-engineer",
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}
],
"skill_match_roles": [
{
"display_name": "Fullstack Developer",
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"matched_count": 6,
"matched_skills": [
"Angular",
"Azure",
"Flask",
"Python",
"REST",
"WSGI"
],
"role_id": 15,
"score": 0.4,
"slug": "full-stack-engineer",
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},
{
"display_name": "Python Backend Developer",
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"REST",
"WSGI",
"pytest"
],
"role_id": 80,
"score": 0.4,
"slug": "python-backend-developer",
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},
{
"display_name": "Backend Developer",
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"matched_count": 6,
"matched_skills": [
"Azure",
"Flask",
"Python",
"REST",
"WSGI",
"pytest"
],
"role_id": 1,
"score": 0.4,
"slug": "backend-engineer",
"total_count": 15
},
{
"display_name": "Node.js Backend Developer",
"kra_matches": null,
"matched_count": 5,
"matched_skills": [
"Azure",
"Flask",
"REST",
"WSGI",
"pytest"
],
"role_id": 82,
"score": 0.3333,
"slug": "node-backend-developer",
"total_count": 15
},
{
"display_name": ".NET Backend Developer",
"kra_matches": null,
"matched_count": 5,
"matched_skills": [
".NET",
".NET Core",
"Azure",
"REST",
"pytest"
],
"role_id": 83,
"score": 0.3333,
"slug": "dotnet-backend-developer",
"total_count": 15
}
]
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "DOMAIN",
"chosen_role": {
"display_name": "Backend Developer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 1,
"score": 0.98,
"slug": "backend-engineer",
"total_count": null
},
"confidence": 0.98,
"is_new_role": false,
"llm2_fired": false,
"llm2_reasoning": null,
"matched_dimensions": [
"Python Backend Development",
"REST API / Service Development",
"Cloud Deployment and DevOps",
"Container Orchestration",
"Testing and Quality Assurance",
"Scripting and Automation",
"Full-Stack Collaboration"
],
"matched_kras": [
"Develop Python, WSGI (Flask, Gunicorn) services",
"Build REST Service",
"Work with Azure and Azure DevOps",
"Use K8s and Istio",
"Write Shell Scripting (Bash \u0026 PowerShell)",
"Apply Pytest for testing"
],
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"gevent",
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}
API 2 — extract-details
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{
"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"
},
"input_skill": "PowerShell",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Cyber Security Engineer",
"id": 5,
"rationale": null,
"role_archetype": null,
"slug": "cybersecurity-engineer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Programming Languages for ML Systems",
"id": 39,
"rationale": "Languages used to build training code, inference services, evaluation jobs, and ML glue code. This is the primary implementation surface for ML engineers across experimentation and productionization.",
"slug": "programming-languages-for-ml-systems",
"source": "db"
},
"input_skill": "PowerShell",
"llm_role": null,
"roles_from_db": [
{
"display_name": "ML Engineer",
"id": 3,
"rationale": null,
"role_archetype": null,
"slug": "ml-engineer",
"source": "db"
},
{
"display_name": "MLOps Engineer",
"id": 16,
"rationale": null,
"role_archetype": null,
"slug": "ml-ops-engineer",
"source": "db"
}
]
}
],
"input_skill": "PowerShell",
"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": ".NET",
"alias_type": "CANONICAL",
"id": 4766,
"is_primary": true,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": ".NET 5",
"alias_type": "VERSION",
"id": 4767,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": ".NET 6",
"alias_type": "VERSION",
"id": 4768,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": ".NET 7",
"alias_type": "VERSION",
"id": 4769,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": ".NET 8",
"alias_type": "VERSION",
"id": 4770,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": ".NET Core",
"alias_type": "VERSION",
"id": 4771,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 67,
"display_name": ".NET",
"id": 3237,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "RUNTIME",
"slug": "net",
"sub_category_id": 2564,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "C# and .NET Languages",
"id": 362,
"rationale": "Primary implementation languages and runtime features used to build backend service logic in the .NET ecosystem. This is the core coding surface for request handling, domain logic, and service internals.",
"slug": "c-and-net-languages",
"source": "db"
},
"input_skill": ".NET Core",
"llm_role": null,
"roles_from_db": [
{
"display_name": ".NET Backend Developer",
"id": 83,
"rationale": null,
"role_archetype": "Engineering",
"slug": "dotnet-backend-developer",
"source": "db"
}
]
}
],
"input_skill": ".NET Core",
"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": "Angular",
"alias_type": "CANONICAL",
"id": 1067,
"is_primary": true,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 1",
"alias_type": "VERSION",
"id": 1068,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 1.x",
"alias_type": "VERSION",
"id": 1086,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 10",
"alias_type": "VERSION",
"id": 1077,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 11",
"alias_type": "VERSION",
"id": 1078,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 12",
"alias_type": "VERSION",
"id": 1079,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 13",
"alias_type": "VERSION",
"id": 1080,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 14",
"alias_type": "VERSION",
"id": 1081,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 15",
"alias_type": "VERSION",
"id": 1082,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 16",
"alias_type": "VERSION",
"id": 1083,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 17",
"alias_type": "VERSION",
"id": 1084,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 2",
"alias_type": "VERSION",
"id": 1069,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 2+",
"alias_type": "VERSION",
"id": 1085,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 4",
"alias_type": "VERSION",
"id": 1070,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 5",
"alias_type": "VERSION",
"id": 1071,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 6",
"alias_type": "VERSION",
"id": 1072,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 7",
"alias_type": "VERSION",
"id": 1073,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 8",
"alias_type": "VERSION",
"id": 1074,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Angular 9",
"alias_type": "VERSION",
"id": 1075,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "AngularJS",
"alias_type": "VERSION",
"id": 1076,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 1",
"alias_type": "VERSION",
"id": 3205,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 1.x",
"alias_type": "VERSION",
"id": 3208,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 10",
"alias_type": "VERSION",
"id": 2098,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 11",
"alias_type": "VERSION",
"id": 2099,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 12",
"alias_type": "VERSION",
"id": 2100,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 13",
"alias_type": "VERSION",
"id": 2101,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 14",
"alias_type": "VERSION",
"id": 2102,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 15",
"alias_type": "VERSION",
"id": 2103,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 16",
"alias_type": "VERSION",
"id": 2104,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 17",
"alias_type": "VERSION",
"id": 2105,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 18",
"alias_type": "VERSION",
"id": 4019,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 19",
"alias_type": "VERSION",
"id": 4020,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 2",
"alias_type": "VERSION",
"id": 2089,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 2+",
"alias_type": "VERSION",
"id": 2106,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 2.x",
"alias_type": "VERSION",
"id": 3209,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 3",
"alias_type": "VERSION",
"id": 2090,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 4",
"alias_type": "VERSION",
"id": 2091,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 5",
"alias_type": "VERSION",
"id": 2092,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 6",
"alias_type": "VERSION",
"id": 2093,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 7",
"alias_type": "VERSION",
"id": 2094,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 8",
"alias_type": "VERSION",
"id": 2095,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular 9",
"alias_type": "VERSION",
"id": 2096,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular17",
"alias_type": "VERSION",
"id": 2097,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angular2",
"alias_type": "VERSION",
"id": 3204,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "angularjs",
"alias_type": "VERSION",
"id": 3207,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "ng",
"alias_type": "VERSION",
"id": 2088,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "ng1",
"alias_type": "VERSION",
"id": 3202,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "ng2",
"alias_type": "VERSION",
"id": 3203,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 5,
"display_name": "Angular",
"id": 612,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "FRAMEWORK",
"slug": "angular",
"sub_category_id": 1072,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Angular Component Model and Templates",
"id": 303,
"rationale": "Core Angular framework surface for building reusable UI, composing views, and wiring component behavior. This is the main application substrate for browser features in this role.",
"slug": "angular-component-model-and-templates",
"source": "db"
},
"input_skill": "Angular",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Angular Frontend Developer",
"id": 90,
"rationale": null,
"role_archetype": "Engineering",
"slug": "angular-frontend-developer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Application Frameworks \u0026 Libraries",
"id": 451,
"rationale": "Covers the primary software frameworks and libraries often used alongside Sitecore for building and enhancing site experiences.",
"slug": "application-frameworks-libraries",
"source": "db"
},
"input_skill": "Angular",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Sitecore Dev",
"id": 233,
"rationale": null,
"role_archetype": "Engineering",
"slug": "sitecore-dev",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "UI Frameworks and Rendering",
"id": 115,
"rationale": "Component frameworks and rendering models used to build browser screens, reusable UI, and interactive client flows. This is a core cluster because frontend engineers spend much of their time composing and updating view hierarchies.",
"slug": "ui-frameworks-and-rendering",
"source": "db"
},
"input_skill": "Angular",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Frontend Developer",
"id": 7,
"rationale": null,
"role_archetype": null,
"slug": "frontend-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"
},
{
"display_name": "Hybrid Mobile Developer",
"id": 11,
"rationale": null,
"role_archetype": null,
"slug": "hybrid-mobile-developer",
"source": "db"
},
{
"display_name": "Ionic Developer",
"id": 434,
"rationale": null,
"role_archetype": null,
"slug": "ionic-developer",
"source": "db"
},
{
"display_name": "Web Developer",
"id": 25,
"rationale": null,
"role_archetype": null,
"slug": "web-developer",
"source": "db"
}
]
}
],
"input_skill": "Angular",
"matched_via": "alias",
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": null,
"source_tag": "db",
"was_in_llm_skills": true
}
],
"unmatched_skills": [
"Gunicorn",
"gevent"
]
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "Backend Developer",
"id": 1,
"rationale": "Domain=Software Engineering \u2192 sub-role python-backend-developer; The JD centers on Python backend work with Flask/Gunicorn, REST services, testing, Azure, and deployment tooling, which best matches Backend Developer.",
"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"
},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
"skill": "Python",
"tag": "in_db"
},
{
"skill": "WSGI",
"tag": "in_db"
},
{
"skill": "Flask",
"tag": "in_db"
},
{
"skill": "Gunicorn",
"tag": "new"
},
{
"skill": "gevent",
"tag": "new"
},
{
"skill": "Pytest",
"tag": "in_db"
},
{
"skill": "REST",
"tag": "in_db"
},
{
"skill": "Azure",
"tag": "in_db"
},
{
"skill": "Azure DevOps",
"tag": "in_db"
},
{
"skill": "Kubernetes",
"tag": "in_db"
},
{
"skill": "Istio",
"tag": "in_db"
},
{
"skill": "Bash",
"tag": "in_db"
},
{
"skill": "PowerShell",
"tag": "in_db"
},
{
"skill": ".NET Core",
"tag": "in_db"
},
{
"skill": "Angular",
"tag": "in_db"
}
],
"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": 1,
"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": 1,
"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": true,
"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
"role_dimension_saved": true,
"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": 1,
"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": 1,
"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"
}
],
"skill_dimension_saved": true,
"skill_id": 5,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 1,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Programming Languages for ML Systems",
"id": 39,
"rationale": "Languages used to build training code, inference services, evaluation jobs, and ML glue code. This is the primary implementation surface for ML engineers across experimentation and productionization.",
"slug": "programming-languages-for-ml-systems",
"source": "db"
},
"dimension_id": 39,
"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": "ML Engineer",
"id": 3,
"rationale": null,
"role_archetype": null,
"slug": "ml-engineer",
"source": "db"
},
{
"display_name": "MLOps Engineer",
"id": 16,
"rationale": null,
"role_archetype": null,
"slug": "ml-ops-engineer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 5,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 1,
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{
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{
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],
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}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.