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Pipeline run

b4965e7b-38f3-4677-a047-9dcd9ad487c9

Pipeline LLM cost (USD)
API 1: $0.0108 API 2: $0.0004 API 3: $0.0000 Total: $0.0112

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
role baseline loaded sources · ai_index: jd · nature_of_work: jd · tech_stack_maturity: jd
Nature of work · End-to-end feature delivery
Leads a team’s software design and delivery on GCP, turning strategic goals into backlogs, scalable services, and AI-enhanced workflows. Day to day, they mentor developers, drive CI/CD/testing/incident readiness, and push reusable AI tools and prompt libraries.
""Develop and maintain scalable, maintainable, and testable software using Vendasta's technology stack.""
Tech stack maturity
Modern Cloud Native
The skill set centers on cloud platforms, Kubernetes, CI/CD, gRPC, and modern fullstack/backend technologies, with AI and prompt engineering indicating a current cloud-native stack rather than legacy systems.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
1.70 / 5
· Title match
Has AI skill
AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1): ChatGPT, Claude, Cursor, Gemini
Frameworks (×2): LangChain
Models / concepts (×3): embeddings, prompt engineering, MCP, AI
Evidence — skills matched in JD (30)
Google Cloud Platform BigQuery Cloud Dataflow Cloud Pub/Sub Cloud IAM Cloud Storage Cloud SQL Cloud Spanner Cloud Datastore Go TypeScript Python JavaScript HTML Angular gRPC Kubernetes Elasticsearch MySQL PostgreSQL AI Prompt Engineering Scrum CI/CD Automated Testing +5
Skill cluster (8 dimension groups, role-scoped)
Programming Languages
Go TypeScript Python JavaScript
Relational Data Modeling
MySQL PostgreSQL
API Design and Contracts
gRPC
Cloud Provider Platforms
Google Cloud Platform
Container Orchestration Platforms
Kubernetes
Search and Content Discovery
Elasticsearch
UI Frameworks and Rendering
Angular
Cross-cutting / unaligned
BigQuery Cloud Dataflow Cloud Pub/Sub Cloud IAM Cloud Storage Cloud SQL Cloud Spanner Cloud Datastore HTML AI Prompt Engineering Scrum CI/CD Automated Testing Software Design Patterns Cloud-Native Systems Google Data Studio Google Maps Platform Stackdriver
Show KRA description ↓
As a Senior Software Developer you'll • Provide technical leadership and direction to your team; act as the go-to resource for system design, scalability, and code quality. • Champion AI-aligned work—proactively identifying opportunities for automation, efficiency, and responsible AI use. • Develop and maintain scalable, maintainable, and testable software using Vendasta's technology stack. • Collaborate with cross-functional teams to translate strategic goals into actionable and executable backlogs, including AI-enhanced solutions. • Participate in team sprint planning, offering technical insights and ensuring clear, feasible delivery of work. • Mentor and coach team members on traditional and AI-enhanced programming practices. • Document long-term technical vision for services owned by the team, ensuring continuity, clarity, and scalability. • Lead incident response readiness by ensuring team confidence and capability in emergency scenarios. • Advocate for strong engineering practices such as CI/CD, automated testing, RFC creation, and safe experimentation. • Contribute to Vendasta’s broader engineering culture—through mentorship, tech blogs, internal working groups, and shared repositories. • Drive AI literacy by embedding tools, building reusable prompt libraries, and leading AI-forward discussions and demos. • 8+ years of software development experience, preferably within SaaS or technology environments. • Proven track record of leading technical teams and delivering complex software solutions. • Deep knowledge of software design patterns, scalable architecture, and cloud-native systems. • Ability to drive AI adoption through hands-on implementation of AI-enhanced workflows, frameworks, or APIs. • Strong communication skills to effectively engage both technical and non-technical stakeholders. • Passion for mentoring and growing technical talent within a team. • Demonstrated experience working with the Scrum framework and modern development methodologies. • Cloud Native Computing using Google Cloud Platform • BigQuery, Cloud Dataflow, Cloud Pub/Sub, Google Data Studio, Cloud IAM, Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Datastore, Google Maps Platform, Stackdriver, etc.… We have been invited to join the Early Access Program on quite a few GCP technologies. • GoLang, Typescript, Python, JavaScript, HTML, Angular, GRPC, Kubernetes • Elasticsearch, MySQL, PostgreSQL AI prompt libraries, • AI-enhanced dev tools, internal AI use cases and frameworks

Signals

Skill fullstack-developer
0.30
Alias
KRA ai-engineer
0.57

Post-classification

Centroidupdated · n=482
Alias collision log
New-role queue
New skills captured13
New KRA capturedyes

Captured for admin review

Cloud Dataflow primary Fullstack Developer pending
Cloud Pub/Sub primary Fullstack Developer pending
Google Data Studio Fullstack Developer pending
Cloud IAM primary Fullstack Developer pending
Cloud Storage primary Fullstack Developer pending
Cloud SQL primary Fullstack Developer pending
Cloud Spanner primary Fullstack Developer pending
Cloud Datastore primary Fullstack Developer pending
Google Maps Platform Fullstack Developer pending
Stackdriver Fullstack Developer pending
Automated Testing primary Fullstack Developer pending
Software Design Patterns primary Fullstack Developer pending
Cloud-Native Systems primary Fullstack Developer pending
R&R fragment (sim 0.00) Fullstack Developer pending

As a Senior Software Developer you'll • Provide technical leadership and direction to your team; act as the go-to resource for system design, scalability, and code quality. • Champion AI-aligned work—…

Status: completed Created: 2026-05-27T15:33:18.750877Z Updated: 2026-06-12T16:17:58.644262Z API 3 duration: 97688 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

Fullstack Developer

domain · Software Engineering CASE DOMAIN

slug: full-stack-engineer · id: 15 · source: db

Domain=Software Engineering; The JD centers on leading development across backend, cloud-native systems, and frontend technologies with strong architecture and team leadership, which best fits a full-stack engineering role.

Matched skills

Google Cloud PlatformBigQueryCloud DataflowCloud Pub/SubCloud IAMCloud StorageCloud SQLCloud SpannerCloud DatastoreGoogle Maps PlatformStackdriverGoLangTypescriptPythonJavaScriptAngulargRPCKubernetesElasticsearchMySQL

Matched dimensions

Technical leadershipScalable software architectureCloud-native engineeringAI-enabled engineering workflowsCross-functional collaborationMentoring and coachingIncident response readinessEngineering process excellence

Matched KRAs

Provide technical leadership and direction to your teamAct as the go-to resource for system designDevelop and maintain scalable, maintainable, and testable softwareTranslate strategic goals into actionable and executable backlogsParticipate in team sprint planningDocument long-term technical vision for services owned by the teamLead incident response readinessAdvocate for strong engineering practices such as CI/CD

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
3
Skipped

Job description

Chennai, India

Are you passionate about building intelligent, AI-driven systems that transform how businesses work?

Do you want to be part of something transformative, right here in Chennai?

Vendasta is assembling a world-class AI team, and we’re looking for a Senior Software Developer to help build the backbone of an AI-first future.

About The Job

You’ll work with cutting-edge technologies like Google Cloud, Langchain, MCP, and TypeScript, alongside various AI model vendors, to shape a platform that empowers small and medium businesses (SMBs) with AI employees, digital workers that deliver real impact. And it’s not just for our customers, AI is deeply integrated into our internal developer workflows, with tools like Gemini, Cursor, ChatGPT, and Claude Code enhancing how we plan, build, and deploy software. Our teams follow a Scrum Agile methodology and are supported by a robust Site Reliability Engineering (SRE) group to ensure dependable, scalable operations.

At Vendasta, our Research & Development department fosters a culture of experimentation, continuous learning, and developer growth. With a dynamic team of over 100 developers, we’re committed to building impactful solutions that help SMBs succeed in the digital economy. In this role, you’ll serve as a visible steward of engineering culture, providing technical leadership, encouraging innovation, and enabling team success through clarity, collaboration, and proactive planning. You’ll also be instrumental in driving the responsible integration of AI into our systems, helping codify and reuse knowledge, and reducing manual overhead through automation.

Your Impact

As a Senior Software Developer you'll

• Provide technical leadership and direction to your team; act as the go-to resource for system design, scalability, and code quality.
• Champion AI-aligned work—proactively identifying opportunities for automation, efficiency, and responsible AI use.
• Develop and maintain scalable, maintainable, and testable software using Vendasta's technology stack.
• Collaborate with cross-functional teams to translate strategic goals into actionable and executable backlogs, including AI-enhanced solutions.
• Participate in team sprint planning, offering technical insights and ensuring clear, feasible delivery of work.
• Mentor and coach team members on traditional and AI-enhanced programming practices.
• Document long-term technical vision for services owned by the team, ensuring continuity, clarity, and scalability.
• Lead incident response readiness by ensuring team confidence and capability in emergency scenarios.
• Advocate for strong engineering practices such as CI/CD, automated testing, RFC creation, and safe experimentation.
• Contribute to Vendasta’s broader engineering culture—through mentorship, tech blogs, internal working groups, and shared repositories.
• Drive AI literacy by embedding tools, building reusable prompt libraries, and leading AI-forward discussions and demos.


What You Bring To The Table

• 8+ years of software development experience, preferably within SaaS or technology environments.
• Proven track record of leading technical teams and delivering complex software solutions.
• Deep knowledge of software design patterns, scalable architecture, and cloud-native systems.
• Ability to drive AI adoption through hands-on implementation of AI-enhanced workflows, frameworks, or APIs.
• Strong communication skills to effectively engage both technical and non-technical stakeholders.
• Passion for mentoring and growing technical talent within a team.
• Demonstrated experience working with the Scrum framework and modern development methodologies.
• Bachelor’s degree in Computer Science or a related field (preferred).
• Technologies We Use: 
• Cloud Native Computing using Google Cloud Platform
• BigQuery, Cloud Dataflow, Cloud Pub/Sub, Google Data Studio, Cloud IAM, Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Datastore, Google Maps Platform, Stackdriver, etc.… We have been invited to join the Early Access Program on quite a few GCP technologies.
• GoLang, Typescript, Python, JavaScript, HTML, Angular, GRPC, Kubernetes
• Elasticsearch, MySQL, PostgreSQL AI prompt libraries,
• AI-enhanced dev tools, internal AI use cases and frameworks


About Vendasta

We’re on a mission to build the most trusted AI-powered platform for small businesses and the partners who support them. At Vendasta, you’ll be part of something ambitious: helping bring AI transformation to local businesses at scale. As a team member, you’ll enjoy:

• Competitive health benefits, flex time, and annual work-from-anywhere options
• Equity opportunities and a chance to directly shape our AI future
• A vibrant workplace culture that embraces experimentation, thought leadership, and continuous learning
• A place where building AI isn’t just a buzzword, it’s the core of everything we do


Perks

Join the Vendasta team, where your well-being and growth come first. Step into a workplace that blends competitive health benefits with true flexibility, including flex time and an annual work-from-anywhere policy. Take ownership of your future with our Employee Options Program, and enjoy the little things, like daily snacks, a vibrant cafeteria, and catered Friday lunches at our offices. Invest in your growth through education reimbursement, in-house learning opportunities, and a suite of leadership development programs. We’re driven by our values; Drive, Innovation, Respect, and Agility, and it shows in everything we do. Give back through community initiatives and volunteer opportunities, and build more than just a career, build a life you love. At Vendasta, you’ll find the support, the challenge, and the culture to thrive. Discover your potential. Make an impact. Grow with us.

Discover your potential. Build something that matters.

Help us lead the AI revolution from right here in Chennai.

Skills from this JD

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

Google Cloud Platform Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Google Cloud Platform id=425 · google-cloud-platform

Aliases — catalog

  • Google Cloud Platform (CANONICAL) primary

Context tags (catalog)

Anthos App Engine Artifact Registry BigQuery Cloud Build Cloud Functions Cloud Monitoring Cloud Pub/Sub Cloud Run Cloud SQL Cloud Spanner Cloud Storage Compute Engine Dataflow Dataproc GCP GKE IAM Kubernetes Kubernetes Engine Pub/Sub Serverless Stackdriver Terraform VPC

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Cloud Platform
Vendor
Google
License
other_open
Year introduced
2008
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: GCP appears in many cloud-engineering job descriptions alongside AWS/Azure, and Google continues expanding managed services and certifications, indicating broad hiring demand rather than niche use.

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 & Hosting Providers Catalog dimension db id 414

    Library dimension (catalog)

    Roles linked in library: PHP Backend Developer

  • Cloud Provider Platforms Catalog dimension db id 131

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, Cloud Security Engineer

  • Cloud Security Posture Tools Catalog dimension db id 64

    Library dimension (catalog)

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

  • Vendor Product Families Catalog dimension db id 477

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud & Hosting Providers
cloud-hosting-providers
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
BigQuery Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: BigQuery id=106 · bigquery

Aliases — catalog

  • BigQuery (CANONICAL) primary

Context tags (catalog)

Cloud Storage Dataflow ELT ETL GCP Google Cloud Platform Looker Pub/Sub SQL Standard SQL clustered tables data warehouse dbt partitioned tables service account

Stored enrichment (catalog DB)

Category
Service
Sub-category
Data Warehouse Service
Vendor
Google
License
proprietary
Year introduced
2011
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: BigQuery appears frequently in data/analytics job descriptions and is a core Google Cloud warehouse offering, with broad enterprise adoption and strong ecosystem support.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
118
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Data Warehouses Catalog dimension db id 22

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Data Warehouses
cloud-data-warehouses
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Dataflow Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Cloud Pub/Sub Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Google Data Studio 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
Cloud Platforms
Sub-category
general
Skill nature
TOOL
Volatility
FAST
Typical lifespan
SHORT_LIVED
Version strategy
VERSIONED
Cloud IAM Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: AWS IAM id=742 · aws-iam

Aliases — catalog

  • AWS IAM (CANONICAL) primary

Context tags (catalog)

AWS Organizations MFA STS access keys cross-account access federated identity groups instance profile least privilege permission boundaries policies resource-based policy roles trust policy users

Stored enrichment (catalog DB)

Category
Service
Sub-category
Identity And Access Service
Vendor
Amazon Web Services
License
proprietary
Year introduced
2011
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: AWS IAM is a core AWS service and appears routinely in cloud/security job descriptions; it remains a standard prerequisite for access control, roles, and policies across AWS deployments.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
566
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Identity and Access Architecture Catalog dimension db id 137

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, Cloud Security Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Identity and Access Architecture
identity-and-access-architecture
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Cloud Storage Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Google Cloud Storage id=171 · google-cloud-storage

Aliases — catalog

  • Google Cloud Storage (CANONICAL) primary

Context tags (catalog)

CMEK CORS Cloud Storage FUSE Cloud Storage buckets GCS IAM IAM permissions Uniform bucket-level access bucket bucket policy event notifications gsutil multipart upload object lifecycle resumable uploads retention policy service account signed URL signed URLs storage class storage classes uniform bucket-level access versioning

Stored enrichment (catalog DB)

Category
Service
Sub-category
Object Storage Service
Vendor
Google
License
proprietary
Year introduced
2010
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Broadly used object storage on GCP; appears frequently in cloud/data engineering JDs and is a standard managed service alongside S3/Azure Blob.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
120
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Storage and Data Services Catalog dimension db id 144

    Library dimension (catalog)

    Roles linked in library: Cloud Architect

  • Cloud Storage and File Formats Catalog dimension db id 35

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Storage and Data Services
cloud-storage-and-data-services
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Cloud Storage and File Formats
cloud-storage-and-file-formats
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Cloud SQL Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Cloud Platforms
Sub-category
Databases
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Cloud Spanner Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Cloud Platforms
Sub-category
Databases
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Cloud Datastore Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Cloud Platforms
Sub-category
Databases
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Google Maps Platform 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
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Stackdriver 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
Monitoring Tools
Sub-category
general
Skill nature
TOOL
Volatility
FAST
Typical lifespan
SHORT_LIVED
Version strategy
VERSIONED
Go Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Go id=3 · go

Aliases — catalog

  • Go (CANONICAL) primary
  • Go 1.0 (VERSION)
  • Go 1.1 (VERSION)
  • Go 1.10 (VERSION)
  • Go 1.11 (VERSION)
  • Go 1.12 (VERSION)
  • Go 1.13 (VERSION)
  • Go 1.14 (VERSION)
  • Go 1.15 (VERSION)
  • Go 1.16 (VERSION)
  • Go 1.17 (VERSION)
  • Go 1.18 (VERSION)
  • Go 1.19 (VERSION)
  • Go 1.2 (VERSION)
  • Go 1.20 (VERSION)
  • Go 1.21 (VERSION)
  • Go 1.22 (VERSION)
  • Go 1.3 (VERSION)
  • Go 1.4 (VERSION)
  • Go 1.5 (VERSION)
  • Go 1.6 (VERSION)
  • Go 1.7 (VERSION)
  • Go 1.8 (VERSION)
  • Go 1.9 (VERSION)
  • Go 1.x (VERSION)
  • Golang (VERSION)
  • go 1.18 (VERSION)
  • go 1.19 (VERSION)
  • go 1.20 (VERSION)
  • go 1.21 (VERSION)
  • go 1.22 (VERSION)
  • go latest (VERSION)
  • go1.18 (VERSION)
  • go1.19 (VERSION)
  • go1.20 (VERSION)
  • go1.21 (VERSION)
  • go1.22 (VERSION)
  • go1.x (VERSION)
  • golang (VERSION)

Context tags (catalog)

Beego Channel Concurrency Context Docker Echo Gin Go modules Golang Goroutine HTTP HTTP server Interface JSON JSON encoding Kubernetes Microservices REST API Struct Testing channels concurrency context package context.Context error handling gRPC goroutines interfaces microservices middleware modules net/http protobuf structs testing

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
Google
License
bsd
Year introduced
2009
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Go appears in many current job descriptions for backend, cloud, and DevOps roles, and is a standard language in Kubernetes, Docker, and cloud-native stacks; strong GitHub and ecosystem adoption signal broad market demand.

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

  • Go Language and Toolchain Catalog dimension db id 367

    Library dimension (catalog)

    Roles linked in library: Go Backend Developer

  • 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 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
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Go Language and Toolchain
go-language-and-toolchain
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 ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
TypeScript Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: TypeScript id=524 · typescript

Aliases — catalog

  • TypeScript (CANONICAL) primary
  • TypeScript 5 (VERSION)
  • TypeScript 5.x (VERSION)
  • ts (VERSION)
  • ts5 (VERSION)
  • typescript 5 (VERSION)
  • typescript 5.x (VERSION)
  • typescript5 (VERSION)

Context tags (catalog)

Angular Async/Await Decorator Deno ESLint Generics GraphQL Interfaces JavaScript Jest NestJS Next.js Node.js Promise React Redux RxJS TypeORM Vite Vue Vue.js Webpack async/await decorators generics interfaces module resolution npm strict mode tsconfig type annotations type guards type inference type safety yarn

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
Microsoft
License
apache_2
Year introduced
2012
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: TypeScript is a hiring-pipeline staple: it appears in a large share of modern web/frontend and Node.js job descriptions, and major frameworks like Angular and Next.js recommend it by default.

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)

  • Cross-Platform App Languages Catalog dimension db id 167

    Library dimension (catalog)

    Roles linked in library: Hybrid Mobile Developer

  • JavaScript and TypeScript Catalog dimension db id 114

    Library dimension (catalog)

    Roles linked in library: Angular Frontend Developer, Frontend Developer, Ionic Developer, Node.js Backend Developer, React Frontend Developer, React Native Developer, Svelte Frontend Developer, Vue Frontend Developer, Web Developer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

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

  • Programming Languages for XR Catalog dimension db id 97

    Library dimension (catalog)

    Roles linked in library: AR/VR Engineer

  • Sitecore Development Languages Catalog dimension db id 438

    Library dimension (catalog)

    Roles linked in library: Sitecore Dev

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cross-Platform App Languages
cross-platform-app-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript and TypeScript
javascript-and-typescript
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension saved
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Sitecore Development Languages
sitecore-development-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
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 saved
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)
JavaScript Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: JavaScript id=607 · javascript

Aliases — catalog

  • JavaScript (CANONICAL) primary
  • ES2015 (VERSION)
  • ES2016 (VERSION)
  • ES2017 (VERSION)
  • ES2018 (VERSION)
  • ES2019 (VERSION)
  • ES2020 (VERSION)
  • ES2021 (VERSION)
  • ES2022 (VERSION)
  • ES2023 (VERSION)
  • ES2024 (VERSION)
  • ES5 (VERSION)
  • ES6 (VERSION)
  • JavaScript ES2015 (VERSION)
  • JavaScript ES2020 (VERSION)
  • JavaScript ES6 (VERSION)
  • modern JavaScript (VERSION)

Context tags (catalog)

AJAX Angular Babel DOM DOM manipulation ES6 Express JSON Node.js REST RESTful React TypeScript Vue Vue.js Webpack async/await asynchronous callback callback functions closure event-driven jQuery npm promises

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
Mozilla
License
mpl
Year introduced
1995
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: JavaScript appears in a very high volume of job postings across frontend, backend, and full-stack roles, and remains a core language in major ecosystems like Node.js and React.

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)

  • Cross-Platform App Languages Catalog dimension db id 167

    Library dimension (catalog)

    Roles linked in library: Hybrid Mobile Developer

  • JavaScript and TypeScript Catalog dimension db id 114

    Library dimension (catalog)

    Roles linked in library: Angular Frontend Developer, Frontend Developer, Ionic Developer, Node.js Backend Developer, React Frontend Developer, React Native Developer, Svelte Frontend Developer, Vue Frontend Developer, Web Developer

  • JavaScript for WordPress Catalog dimension db id 329

    Library dimension (catalog)

    Roles linked in library: WordPress Dev

  • Pega Programming Languages & DSLs Catalog dimension db id 267

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • 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 & Template Languages Catalog dimension db id 359

    Library dimension (catalog)

    Roles linked in library: Drupal Dev

  • Sitecore Development Languages Catalog dimension db id 438

    Library dimension (catalog)

    Roles linked in library: Sitecore Dev

  • Storefront JavaScript and DOM Behavior Catalog dimension db id 422

    Library dimension (catalog)

    Roles linked in library: Shopify Dev

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cross-Platform App Languages
cross-platform-app-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript and TypeScript
javascript-and-typescript
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript for WordPress
javascript-for-wordpress
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension saved
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages & Template Languages
programming-languages-template-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Sitecore Development Languages
sitecore-development-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Storefront JavaScript and DOM Behavior
storefront-javascript-and-dom-behavior
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
HTML Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: HTML id=1657 · html

Aliases — catalog

  • HTML (CANONICAL) primary

Context tags (catalog)

ARIA CSS DOM HTML5 JavaScript SEO SVG W3C W3C standards canvas forms front-end development markup validation meta tags microdata responsive design semantic markup web accessibility web components

Stored enrichment (catalog DB)

Category
Language
Sub-category
Markup Language
Vendor
W3C
License
unknown
Year introduced
1993
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: HTML appears in the vast majority of web/front-end job descriptions and remains a core browser standard; it is not sunset or replaced by a newer markup language.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
1467
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 & Template Languages Catalog dimension db id 359

    Library dimension (catalog)

    Roles linked in library: Drupal Dev

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

  • Sitecore Development Languages Catalog dimension db id 438

    Library dimension (catalog)

    Roles linked in library: Sitecore Dev

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 & Template Languages
programming-languages-template-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Sitecore Development Languages
sitecore-development-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Angular Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Angular id=612 · angular

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)

AOT Angular CLI Angular Material Component Dependency Injection Directive NgRx Observable Observables PWA RESTful services Reactive Forms Routing RxJS Service Single Page Application TypeScript Unit Testing component-based components dependency injection directives lazy loading modules observables pipes responsive design routing services single-page application single-page applications templates two-way data binding unit testing

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Frontend Framework
Vendor
Google
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

  • Frameworks & Libraries Catalog dimension db id 360

    Library dimension (catalog)

    Roles linked in library: Drupal Dev, Engineering Manager

  • 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)
Frameworks & Libraries
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 saved
gRPC Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: gRPC id=13 · grpc

Aliases — catalog

  • gRPC (CANONICAL) primary

Context tags (catalog)

API HTTP/2 IDL Protocol Buffers asynchronous authentication bidirectional streaming caching cancellation circuit breaker client library client-server client-side load balancing code generation deadline deadline propagation deadlines gRPC Gateway gRPC-Web inter-service communication interceptors interoperability load balancing mTLS metadata microservices middleware protobuf reflection server streaming service definition service discovery service mesh stub generation unary RPC

Stored enrichment (catalog DB)

Category
Protocol
Sub-category
Rpc Protocol
Vendor
Google
License
apache_2
Year introduced
2015
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: gRPC appears frequently in backend/microservices job descriptions and is widely supported by major vendors (Google, Cloud providers, Envoy), indicating broad adoption rather than niche use.

Skill profile (library / DB)

Skill nature
PROTOCOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
10
Sub-category id
52
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

  • API Standards and Protocols Catalog dimension db id 318

    Library dimension (catalog)

    Roles linked in library: Flutter Developer

  • Mobile Protocols & Standards Catalog dimension db id 277

    Library dimension (catalog)

    Roles linked in library: Native Mobile Developer

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)
API Standards and Protocols
api-standards-and-protocols
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Mobile Protocols & Standards
mobile-protocols-standards
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Kubernetes Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Kubernetes id=726 · kubernetes

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)

CI/CD Cluster Autoscaler ConfigMap DaemonSet Deployment Docker Grafana Helm Ingress Istio K8s Kubelet Namespace Pod Prometheus RBAC Secret Service StatefulSet containerization deployment etcd kubectl load balancing microservices namespace orchestration persistent storage scalability service mesh

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)
Elasticsearch Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Elasticsearch id=3171 · elasticsearch

Aliases — catalog

  • Elasticsearch (CANONICAL) primary
  • ES (VERSION)
  • ElasticSearch (VERSION)
  • Elasticsearch 6 (VERSION)
  • Elasticsearch 6.x (VERSION)
  • Elasticsearch 7 (VERSION)
  • Elasticsearch 7.x (VERSION)
  • Elasticsearch 8 (VERSION)
  • Elasticsearch 8.x (VERSION)
  • Elasticsearch v6 (VERSION)
  • Elasticsearch v7 (VERSION)
  • Elasticsearch v8 (VERSION)

Context tags (catalog)

ELK stack JSON Kibana Logstash Lucene REST API RESTful API aggregation cluster management data visualization document store full-text search indexing performance tuning query DSL real-time search replication scalability search analytics search relevance sharding

Stored enrichment (catalog DB)

Category
Datastore
Sub-category
Search Datastore
Vendor
Elastic NV
License
apache_2
Year introduced
2010
Confidence
0.93
Version strategy
SEPARATE_ENTITY
Version tag
8.x

Maturity reasoning: Commonly listed in job descriptions for search/log analytics roles and widely deployed in production; Elastic’s docs and ecosystem show sustained adoption rather than sunset or replacement.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
3
Sub-category id
2925
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Magento Search and Indexing Catalog dimension db id 403

    Library dimension (catalog)

    Roles linked in library: Magento Dev

  • Search and Content Discovery Catalog dimension db id 356

    Library dimension (catalog)

    Roles linked in library: Drupal Dev, Sitecore Dev

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Magento Search and Indexing
magento-search-and-indexing
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Search and Content Discovery
search-and-content-discovery
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
MySQL Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: MySQL id=17 · mysql

Aliases — catalog

  • MySQL (CANONICAL) primary

Context tags (catalog)

ACID ACID compliance Backup Data Warehousing Database Design ER Diagrams EXPLAIN Indexes InnoDB JOIN Joins MyISAM Normalization PHPMyAdmin Query Optimization Replication SQL SQL queries Stored Procedures Transactions Triggers backup backup and restore backup strategies data modeling data normalization database design database normalization database schema foreign keys indexes indexing joins master-slave normalization performance tuning query optimization read replicas replication schema design schema management sharding stored procedures transaction isolation transaction management transactions triggers

Stored enrichment (catalog DB)

Category
Datastore
Sub-category
Relational Database
Vendor
Oracle Corporation
License
gpl_v2
Year introduced
1995
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: MySQL appears in a large share of backend/DB job descriptions and remains a standard managed offering across AWS RDS, Cloud SQL, and Azure Database, indicating broad hiring-pipeline demand.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
3
Sub-category id
29
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Relational Data Modeling Catalog dimension db id 216

    Library dimension (catalog)

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

  • Relational Database Design Catalog dimension db id 4

    Library dimension (catalog)

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

  • Relational Database Usage Catalog dimension db id 371

    Library dimension (catalog)

    Roles linked in library: Go Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Relational Data Modeling
relational-data-modeling
Existing dimension (library) · Role↔dimension saved
Relational Database Design
relational-database-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Relational Database Usage
relational-database-usage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
PostgreSQL Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: PostgreSQL id=16 · postgresql

Aliases — catalog

  • PostgreSQL (CANONICAL) primary
  • PG 13 (VERSION)
  • PG 14 (VERSION)
  • PG 15 (VERSION)
  • PG 16 (VERSION)
  • PostgreSQL 13 (VERSION)
  • PostgreSQL 14 (VERSION)
  • PostgreSQL 15 (VERSION)
  • PostgreSQL 16 (VERSION)
  • Postgres 13 (VERSION)
  • Postgres 14 (VERSION)
  • Postgres 15 (VERSION)
  • Postgres 16 (VERSION)
  • pg10 (VERSION)
  • pg11 (VERSION)
  • pg12 (VERSION)
  • pg13 (VERSION)
  • pg14 (VERSION)
  • pg15 (VERSION)
  • pg16 (VERSION)
  • postgres (VERSION)
  • postgresql 10 (VERSION)
  • postgresql 11 (VERSION)
  • postgresql 12 (VERSION)
  • postgresql 13 (VERSION)
  • postgresql 14 (VERSION)
  • postgresql 15 (VERSION)
  • postgresql 16 (VERSION)
  • postgresql-16 (VERSION)
  • postgresql10 (VERSION)
  • postgresql11 (VERSION)
  • postgresql12 (VERSION)
  • postgresql13 (VERSION)
  • postgresql14 (VERSION)
  • postgresql15 (VERSION)
  • postgresql16 (VERSION)

Context tags (catalog)

ACID EXPLAIN JSONB PL/pgSQL PostGIS SQL VACUUM backup data integrity database migration extensions indexes indexing joins migration partitioning performance tuning pgAdmin query optimization replication schema stored procedures table partitioning transaction transactions triggers views

Stored enrichment (catalog DB)

Category
Datastore
Sub-category
Relational Database
Vendor
PostgreSQL Global Development Group
License
other_open
Year introduced
1996
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: PostgreSQL appears in a large share of backend/data engineering job postings and is a default managed option across AWS RDS, GCP Cloud SQL, and Azure Database, indicating broad hiring-pipeline adoption.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
3
Sub-category id
29
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Relational Data Modeling Catalog dimension db id 216

    Library dimension (catalog)

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

  • Relational Database Design Catalog dimension db id 4

    Library dimension (catalog)

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

  • Relational Database Usage Catalog dimension db id 371

    Library dimension (catalog)

    Roles linked in library: Go Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Relational Data Modeling
relational-data-modeling
Existing dimension (library) · Role↔dimension saved
Relational Database Design
relational-database-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Relational Database Usage
relational-database-usage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AI Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: AI id=1347 · ai

Aliases — catalog

  • AI (CANONICAL)

Context tags (catalog)

AI ethics PyTorch TensorFlow algorithm optimization computer vision data preprocessing deep learning feature engineering machine learning model training natural language processing neural networks predictive analytics reinforcement learning supervised learning

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Artificial Intelligence
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: AI appears in a large and growing share of job descriptions across software, data, and product roles; major vendors like Microsoft, Google, and AWS have broad AI offerings and hiring demand reflects mainstream adoption.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1020
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Prompt Engineering Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Prompt engineering id=1207 · prompt-engineering

Aliases — catalog

  • Prompt engineering (CANONICAL)

Context tags (catalog)

AI alignment contextual prompts data annotation evaluation metrics feedback loops fine-tuning iterative testing language models model training natural language processing prompt design prompt optimization prompt templates user experience user intent

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Prompt Engineering
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: Prompt engineering is increasingly listed in AI/LLM job descriptions and vendor docs, but it’s still not a universal hiring staple like Python or AWS.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
914
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)
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)
CI/CD Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: CI/CD id=1190 · ci-cd

Aliases — catalog

  • CI/CD (CANONICAL)

Context tags (catalog)

Ansible CircleCI Docker GitLab CI Jenkins Kubernetes Terraform Travis CI automated testing build automation continuous deployment continuous integration deployment pipelines monitoring version control

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Ci Cd Process
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: CI/CD appears in a large share of software engineering JDs and is a standard requirement across DevOps, platform, and backend roles; major vendors like GitHub, GitLab, and AWS all center product roadmaps on CI/CD pipelines.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
900
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

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

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
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
Software Design Patterns 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
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Cloud-Native Systems 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
Concepts
Sub-category
general
Skill nature
CONCEPT
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
Google Cloud Platform in_db
Cloud & Hosting Providers
cloud-hosting-providers
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Google Cloud Platform in_db
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Google Cloud Platform in_db
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Google Cloud Platform in_db
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
BigQuery in_db
Cloud Data Warehouses
cloud-data-warehouses
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud IAM new
Identity and Access Architecture
identity-and-access-architecture
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Cloud Storage new
Cloud Storage and Data Services
cloud-storage-and-data-services
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Cloud Storage new
Cloud Storage and File Formats
cloud-storage-and-file-formats
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Go in_db
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Go in_db
Go Language and Toolchain
go-language-and-toolchain
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Go in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension saved
Go in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Go in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
TypeScript in_db
Cross-Platform App Languages
cross-platform-app-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
TypeScript in_db
JavaScript and TypeScript
javascript-and-typescript
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
TypeScript in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension saved
TypeScript in_db
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
TypeScript in_db
Sitecore Development Languages
sitecore-development-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
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 & 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)
JavaScript in_db
Cross-Platform App Languages
cross-platform-app-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
JavaScript and TypeScript
javascript-and-typescript
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
JavaScript for WordPress
javascript-for-wordpress
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension saved
JavaScript in_db
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
Programming Languages & Template Languages
programming-languages-template-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
Sitecore Development Languages
sitecore-development-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
Storefront JavaScript and DOM Behavior
storefront-javascript-and-dom-behavior
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
HTML in_db
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
HTML in_db
Programming Languages & Template Languages
programming-languages-template-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
HTML in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
HTML in_db
Sitecore Development Languages
sitecore-development-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
Frameworks & Libraries
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 saved
gRPC in_db
API Design and Contracts
api-design-and-contracts
Existing dimension (library) · Role↔dimension saved
gRPC in_db
API Interface and Contract Design
api-interface-and-contract-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
gRPC in_db
API Standards and Protocols
api-standards-and-protocols
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
gRPC in_db
Mobile Protocols & Standards
mobile-protocols-standards
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)
Elasticsearch in_db
Magento Search and Indexing
magento-search-and-indexing
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Elasticsearch in_db
Search and Content Discovery
search-and-content-discovery
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
MySQL in_db
Relational Data Modeling
relational-data-modeling
Existing dimension (library) · Role↔dimension saved
MySQL in_db
Relational Database Design
relational-database-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
MySQL in_db
Relational Database Usage
relational-database-usage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
PostgreSQL in_db
Relational Data Modeling
relational-data-modeling
Existing dimension (library) · Role↔dimension saved
PostgreSQL in_db
Relational Database Design
relational-database-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
PostgreSQL in_db
Relational Database Usage
relational-database-usage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AI in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Prompt Engineering in_db
React Frontend Development
d_init_01
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)
CI/CD in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Cloud Dataflow | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Cloud Pub/Sub | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Google Data Studio | type=Cloud Platforms subtype=general nature=TOOL lifespan=SHORT_LIVED
canonical_skill_proposed Cloud SQL | type=Cloud Platforms subtype=Databases nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Cloud Spanner | type=Cloud Platforms subtype=Databases nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Cloud Datastore | type=Cloud Platforms subtype=Databases nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Google Maps Platform | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Stackdriver | type=Monitoring Tools subtype=general nature=TOOL lifespan=SHORT_LIVED
canonical_skill_proposed Automated Testing | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Software Design Patterns | type=Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Cloud-Native Systems | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
dimension_skill_link_proposed Cloud IAM ↔ Identity and Access Architecture
dimension_skill_link_proposed Cloud Storage ↔ Cloud Storage and Data Services
dimension_skill_link_proposed Cloud Storage ↔ Cloud Storage and File Formats
nano JD Parser — gpt-4.1-nano click to toggle
RoleSenior Software Developer
CompanyVendasta
Experience8+ years of software development experience
DomainSoftware & SaaS Products
Location Chennai, India (null)
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": {
    "source_marker": {
      "first_5_words": "We\u2019re on a mission to build",
      "last_5_words": "it\u2019s the core of everything we do"
    },
    "text": "We\u2019re on a mission to build the most trusted AI-powered platform for small businesses and the partners who support them. At Vendasta, you\u2019ll be part of something ambitious: helping bring AI transformation to local businesses at scale. As a team member, you\u2019ll enjoy:\n\u2022 Competitive health benefits, flex time, and annual work-from-anywhere options\n\u2022 Equity opportunities and a chance to directly shape our AI future\n\u2022 A vibrant workplace culture that embraces experimentation, thought leadership, and continuous learning\n\u2022 A place where building AI isn\u2019t just a buzzword, it\u2019s the core of everything we do",
    "word_count": 84
  },
  "certifications": [],
  "company_name": "Vendasta",
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [
        "SaaS",
        "Product Companies"
      ],
      "domain": "Software \u0026 SaaS Products"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "BTECH/BE/BSC - Computer Science (or related)",
      "raw": "Bachelor\u2019s degree in Computer Science or a related field (preferred)",
      "requirement": "preferred"
    }
  ],
  "experience": {
    "max": null,
    "min": 8,
    "raw": "8+ years of software development experience"
  },
  "job_locations": [
    {
      "aliases": [
        "Chennai, TN"
      ],
      "city": "Chennai",
      "country": "India",
      "state": null,
      "work_mode": "null"
    }
  ],
  "role": "Senior Software Developer",
  "role_aliases": [
    "Software Engineer",
    "SWE",
    "Senior Developer"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 11,
      "heading": "Your Impact",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "As a Senior Software Developer",
        "last_5_words": "and leading AI-forward discussions and demos."
      },
      "text": "As a Senior Software Developer you\u0027ll\n\u2022 Provide technical leadership and direction to your team; act as the go-to resource for system design, scalability, and code quality.\n\u2022 Champion AI-aligned work\u2014proactively identifying opportunities for automation, efficiency, and responsible AI use.\n\u2022 Develop and maintain scalable, maintainable, and testable software using Vendasta\u0027s technology stack.\n\u2022 Collaborate with cross-functional teams to translate strategic goals into actionable and executable backlogs, including AI-enhanced solutions.\n\u2022 Participate in team sprint planning, offering technical insights and ensuring clear, feasible delivery of work.\n\u2022 Mentor and coach team members on traditional and AI-enhanced programming practices.\n\u2022 Document long-term technical vision for services owned by the team, ensuring continuity, clarity, and scalability.\n\u2022 Lead incident response readiness by ensuring team confidence and capability in emergency scenarios.\n\u2022 Advocate for strong engineering practices such as CI/CD, automated testing, RFC creation, and safe experimentation.\n\u2022 Contribute to Vendasta\u2019s broader engineering culture\u2014through mentorship, tech blogs, internal working groups, and shared repositories.\n\u2022 Drive AI literacy by embedding tools, building reusable prompt libraries, and leading AI-forward discussions and demos.",
      "word_count": 236
    },
    {
      "bullet_count": 7,
      "heading": "What You Bring To The Table",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 8+ years of software development",
        "last_5_words": "and modern development methodologies."
      },
      "text": "\u2022 8+ years of software development experience, preferably within SaaS or technology environments.\n\u2022 Proven track record of leading technical teams and delivering complex software solutions.\n\u2022 Deep knowledge of software design patterns, scalable architecture, and cloud-native systems.\n\u2022 Ability to drive AI adoption through hands-on implementation of AI-enhanced workflows, frameworks, or APIs.\n\u2022 Strong communication skills to effectively engage both technical and non-technical stakeholders.\n\u2022 Passion for mentoring and growing technical talent within a team.\n\u2022 Demonstrated experience working with the Scrum framework and modern development methodologies.",
      "word_count": 66
    },
    {
      "bullet_count": 5,
      "heading": "Technologies We Use",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Cloud Native Computing using Google",
        "last_5_words": "AI use cases and frameworks"
      },
      "text": "\u2022 Cloud Native Computing using Google Cloud Platform\n\u2022 BigQuery, Cloud Dataflow, Cloud Pub/Sub, Google Data Studio, Cloud IAM, Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Datastore, Google Maps Platform, Stackdriver, etc.\u2026 We have been invited to join the Early Access Program on quite a few GCP technologies.\n\u2022 GoLang, Typescript, Python, JavaScript, HTML, Angular, GRPC, Kubernetes\n\u2022 Elasticsearch, MySQL, PostgreSQL AI prompt libraries,\n\u2022 AI-enhanced dev tools, internal AI use cases and frameworks",
      "word_count": 83
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Google Cloud Platform"
    },
    {
      "is_primary": true,
      "skill_name": "BigQuery"
    },
    {
      "is_primary": true,
      "skill_name": "Cloud Dataflow"
    },
    {
      "is_primary": true,
      "skill_name": "Cloud Pub/Sub"
    },
    {
      "is_primary": false,
      "skill_name": "Google Data Studio"
    },
    {
      "is_primary": true,
      "skill_name": "Cloud IAM"
    },
    {
      "is_primary": true,
      "skill_name": "Cloud Storage"
    },
    {
      "is_primary": true,
      "skill_name": "Cloud SQL"
    },
    {
      "is_primary": true,
      "skill_name": "Cloud Spanner"
    },
    {
      "is_primary": true,
      "skill_name": "Cloud Datastore"
    },
    {
      "is_primary": false,
      "skill_name": "Google Maps Platform"
    },
    {
      "is_primary": false,
      "skill_name": "Stackdriver"
    },
    {
      "is_primary": true,
      "skill_name": "Go"
    },
    {
      "is_primary": true,
      "skill_name": "TypeScript"
    },
    {
      "is_primary": true,
      "skill_name": "Python"
    },
    {
      "is_primary": true,
      "skill_name": "JavaScript"
    },
    {
      "is_primary": true,
      "skill_name": "HTML"
    },
    {
      "is_primary": true,
      "skill_name": "Angular"
    },
    {
      "is_primary": true,
      "skill_name": "gRPC"
    },
    {
      "is_primary": true,
      "skill_name": "Kubernetes"
    },
    {
      "is_primary": true,
      "skill_name": "Elasticsearch"
    },
    {
      "is_primary": true,
      "skill_name": "MySQL"
    },
    {
      "is_primary": true,
      "skill_name": "PostgreSQL"
    },
    {
      "is_primary": true,
      "skill_name": "AI"
    },
    {
      "is_primary": true,
      "skill_name": "Prompt Engineering"
    },
    {
      "is_primary": true,
      "skill_name": "Scrum"
    },
    {
      "is_primary": true,
      "skill_name": "CI/CD"
    },
    {
      "is_primary": true,
      "skill_name": "Automated Testing"
    },
    {
      "is_primary": true,
      "skill_name": "Software Design Patterns"
    },
    {
      "is_primary": true,
      "skill_name": "Cloud-Native Systems"
    }
  ],
  "jd_role": {
    "display_name": "Senior Software Developer",
    "rationale": null,
    "role_aliases": [
      "Software Engineer",
      "SWE",
      "Senior Developer"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": {
      "source_marker": {
        "first_5_words": "We\u2019re on a mission to build",
        "last_5_words": "it\u2019s the core of everything we do"
      },
      "text": "We\u2019re on a mission to build the most trusted AI-powered platform for small businesses and the partners who support them. At Vendasta, you\u2019ll be part of something ambitious: helping bring AI transformation to local businesses at scale. As a team member, you\u2019ll enjoy:\n\u2022 Competitive health benefits, flex time, and annual work-from-anywhere options\n\u2022 Equity opportunities and a chance to directly shape our AI future\n\u2022 A vibrant workplace culture that embraces experimentation, thought leadership, and continuous learning\n\u2022 A place where building AI isn\u2019t just a buzzword, it\u2019s the core of everything we do",
      "word_count": 84
    },
    "certifications": [],
    "company_name": "Vendasta",
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [
          "SaaS",
          "Product Companies"
        ],
        "domain": "Software \u0026 SaaS Products"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "Bachelor\u0027s",
        "qualification": "BTECH/BE/BSC - Computer Science (or related)",
        "raw": "Bachelor\u2019s degree in Computer Science or a related field (preferred)",
        "requirement": "preferred"
      }
    ],
    "experience": {
      "max": null,
      "min": 8,
      "raw": "8+ years of software development experience"
    },
    "job_locations": [
      {
        "aliases": [
          "Chennai, TN"
        ],
        "city": "Chennai",
        "country": "India",
        "state": null,
        "work_mode": "null"
      }
    ],
    "role": "Senior Software Developer",
    "role_aliases": [
      "Software Engineer",
      "SWE",
      "Senior Developer"
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 11,
        "heading": "Your Impact",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "As a Senior Software Developer",
          "last_5_words": "and leading AI-forward discussions and demos."
        },
        "text": "As a Senior Software Developer you\u0027ll\n\u2022 Provide technical leadership and direction to your team; act as the go-to resource for system design, scalability, and code quality.\n\u2022 Champion AI-aligned work\u2014proactively identifying opportunities for automation, efficiency, and responsible AI use.\n\u2022 Develop and maintain scalable, maintainable, and testable software using Vendasta\u0027s technology stack.\n\u2022 Collaborate with cross-functional teams to translate strategic goals into actionable and executable backlogs, including AI-enhanced solutions.\n\u2022 Participate in team sprint planning, offering technical insights and ensuring clear, feasible delivery of work.\n\u2022 Mentor and coach team members on traditional and AI-enhanced programming practices.\n\u2022 Document long-term technical vision for services owned by the team, ensuring continuity, clarity, and scalability.\n\u2022 Lead incident response readiness by ensuring team confidence and capability in emergency scenarios.\n\u2022 Advocate for strong engineering practices such as CI/CD, automated testing, RFC creation, and safe experimentation.\n\u2022 Contribute to Vendasta\u2019s broader engineering culture\u2014through mentorship, tech blogs, internal working groups, and shared repositories.\n\u2022 Drive AI literacy by embedding tools, building reusable prompt libraries, and leading AI-forward discussions and demos.",
        "word_count": 236
      },
      {
        "bullet_count": 7,
        "heading": "What You Bring To The Table",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 8+ years of software development",
          "last_5_words": "and modern development methodologies."
        },
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  "stage4_decision": {
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    "case": "DOMAIN",
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      "Cloud-native engineering",
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      "Participate in team sprint planning",
      "Document long-term technical vision for services owned by the team",
      "Lead incident response readiness",
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      "Elasticsearch",
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}
API 2 — extract-details
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          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "cloud-native-systems",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Cloud Dataflow",
    "Cloud Pub/Sub",
    "Google Data Studio",
    "Cloud SQL",
    "Cloud Spanner",
    "Cloud Datastore",
    "Google Maps Platform",
    "Stackdriver",
    "Automated Testing",
    "Software Design Patterns",
    "Cloud-Native Systems"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Fullstack Developer",
    "id": 15,
    "rationale": "Domain=Software Engineering; The JD centers on leading development across backend, cloud-native systems, and frontend technologies with strong architecture and team leadership, which best fits a full-stack engineering role.",
    "role_archetype": null,
    "slug": "full-stack-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Google Cloud Platform",
      "tag": "in_db"
    },
    {
      "skill": "BigQuery",
      "tag": "in_db"
    },
    {
      "skill": "Cloud Dataflow",
      "tag": "new"
    },
    {
      "skill": "Cloud Pub/Sub",
      "tag": "new"
    },
    {
      "skill": "Google Data Studio",
      "tag": "new"
    },
    {
      "skill": "Cloud IAM",
      "tag": "in_db"
    },
    {
      "skill": "Cloud Storage",
      "tag": "in_db"
    },
    {
      "skill": "Cloud SQL",
      "tag": "new"
    },
    {
      "skill": "Cloud Spanner",
      "tag": "new"
    },
    {
      "skill": "Cloud Datastore",
      "tag": "new"
    },
    {
      "skill": "Google Maps Platform",
      "tag": "new"
    },
    {
      "skill": "Stackdriver",
      "tag": "new"
    },
    {
      "skill": "Go",
      "tag": "in_db"
    },
    {
      "skill": "TypeScript",
      "tag": "in_db"
    },
    {
      "skill": "Python",
      "tag": "in_db"
    },
    {
      "skill": "JavaScript",
      "tag": "in_db"
    },
    {
      "skill": "HTML",
      "tag": "in_db"
    },
    {
      "skill": "Angular",
      "tag": "in_db"
    },
    {
      "skill": "gRPC",
      "tag": "in_db"
    },
    {
      "skill": "Kubernetes",
      "tag": "in_db"
    },
    {
      "skill": "Elasticsearch",
      "tag": "in_db"
    },
    {
      "skill": "MySQL",
      "tag": "in_db"
    },
    {
      "skill": "PostgreSQL",
      "tag": "in_db"
    },
    {
      "skill": "AI",
      "tag": "in_db"
    },
    {
      "skill": "Prompt Engineering",
      "tag": "in_db"
    },
    {
      "skill": "Scrum",
      "tag": "in_db"
    },
    {
      "skill": "CI/CD",
      "tag": "in_db"
    },
    {
      "skill": "Automated Testing",
      "tag": "new"
    },
    {
      "skill": "Software Design Patterns",
      "tag": "new"
    },
    {
      "skill": "Cloud-Native Systems",
      "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": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud \u0026 Hosting Providers",
          "id": 414,
          "rationale": "Knowledge of major cloud and hosting vendor platforms for deploying and managing PHP applications.",
          "slug": "cloud-hosting-providers",
          "source": "db"
        },
        "dimension_id": 414,
        "input_skill": "Google Cloud Platform",
        "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": "PHP Backend Developer",
            "id": 86,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "php-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 425,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Provider Platforms",
          "id": 131,
          "rationale": "Major cloud platforms and their core service ecosystems used to design target-state architectures, choose deployment boundaries, and evaluate managed capabilities. This is the primary substrate for cloud architecture decisions.",
          "slug": "cloud-provider-platforms",
          "source": "db"
        },
        "dimension_id": 131,
        "input_skill": "Google Cloud Platform",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cloud Architect",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-architect",
            "source": "db"
          },
          {
            "display_name": "Cloud Security Engineer",
            "id": 23,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-security-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 425,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Security Posture Tools",
          "id": 64,
          "rationale": "Cloud-native security platforms used to assess misconfiguration, workload exposure, and cloud control coverage. This dimension includes the major CNAPP/CSPM/CWPP vendors and cloud security services the role reviews and tunes.",
          "slug": "cloud-security-posture-tools",
          "source": "db"
        },
        "dimension_id": 64,
        "input_skill": "Google Cloud Platform",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cloud Security Engineer",
            "id": 23,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-security-engineer",
            "source": "db"
          },
          {
            "display_name": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 425,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Vendor Product Families",
          "id": 477,
          "rationale": "Coordinate usage, licensing, and architecture decisions for major vendor software and cloud product families.",
          "slug": "vendor-product-families",
          "source": "db"
        },
        "dimension_id": 477,
        "input_skill": "Google Cloud Platform",
        "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": 425,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Data Warehouses",
          "id": 22,
          "rationale": "Managed analytical storage and compute platforms used for curated datasets, reporting, and downstream analytics. These systems are central to data modeling, performance tuning, and cost-aware query design.",
          "slug": "cloud-data-warehouses",
          "source": "db"
        },
        "dimension_id": 22,
        "input_skill": "BigQuery",
        "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": 106,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Identity and Access Architecture",
          "id": 137,
          "rationale": "Cloud identity patterns for authentication, authorization, federation, and privileged access boundaries. This is central to cloud governance because it defines who can administer and consume platform resources.",
          "slug": "identity-and-access-architecture",
          "source": "db"
        },
        "dimension_id": 137,
        "input_skill": "Cloud IAM",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cloud Architect",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-architect",
            "source": "db"
          },
          {
            "display_name": "Cloud Security Engineer",
            "id": 23,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-security-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Storage and Data Services",
          "id": 144,
          "rationale": "Cloud-native storage and managed data services used to place workloads, choose durability tiers, and define platform boundaries. This is a coherent cluster because architects evaluate storage fit, access patterns, and managed service tradeoffs.",
          "slug": "cloud-storage-and-data-services",
          "source": "db"
        },
        "dimension_id": 144,
        "input_skill": "Cloud Storage",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cloud Architect",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-architect",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Storage and File Formats",
          "id": 35,
          "rationale": "Object storage and data file formats used as the physical substrate for data movement and lake-style analytics. Data engineers need these to manage landing zones, partitioned datasets, and efficient interchange.",
          "slug": "cloud-storage-and-file-formats",
          "source": "db"
        },
        "dimension_id": 35,
        "input_skill": "Cloud Storage",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Data Engineer",
            "id": 2,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 15,
        "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": "Go",
        "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": 3,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Go Language and Toolchain",
          "id": 367,
          "rationale": "Core Go implementation skills used to build backend service logic, handlers, and internal libraries. This is the primary coding surface for the role and includes language features, module management, and compiler/runtime behavior relevant to service code.",
          "slug": "go-language-and-toolchain",
          "source": "db"
        },
        "dimension_id": 367,
        "input_skill": "Go",
        "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": "Go Backend Developer",
            "id": 81,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "go-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 3,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "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": "Go",
        "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": 3,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "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": "Go",
        "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": 3,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "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": "Go",
        "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": 3,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cross-Platform App Languages",
          "id": 167,
          "rationale": "Languages used to implement shared mobile features across iOS and Android from a common codebase. This is the primary coding surface for hybrid app logic, UI behavior, and platform-specific branching.",
          "slug": "cross-platform-app-languages",
          "source": "db"
        },
        "dimension_id": 167,
        "input_skill": "TypeScript",
        "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": "Hybrid Mobile Developer",
            "id": 11,
            "rationale": null,
            "role_archetype": null,
            "slug": "hybrid-mobile-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 524,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "JavaScript and TypeScript",
          "id": 114,
          "rationale": "Primary implementation languages for browser client code, UI logic, and shared frontend utilities. These languages are the main coding surface for building interactive web experiences in this role.",
          "slug": "javascript-and-typescript",
          "source": "db"
        },
        "dimension_id": 114,
        "input_skill": "TypeScript",
        "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": "Angular Frontend Developer",
            "id": 90,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "angular-frontend-developer",
            "source": "db"
          },
          {
            "display_name": "Frontend Developer",
            "id": 7,
            "rationale": null,
            "role_archetype": null,
            "slug": "frontend-engineer",
            "source": "db"
          },
          {
            "display_name": "Ionic Developer",
            "id": 434,
            "rationale": null,
            "role_archetype": null,
            "slug": "ionic-developer",
            "source": "db"
          },
          {
            "display_name": "Node.js Backend Developer",
            "id": 82,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "node-backend-developer",
            "source": "db"
          },
          {
            "display_name": "React Frontend Developer",
            "id": 89,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "react-frontend-developer",
            "source": "db"
          },
          {
            "display_name": "React Native Developer",
            "id": 73,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "react-native-developer",
            "source": "db"
          },
          {
            "display_name": "Svelte Frontend Developer",
            "id": 92,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "svelte-frontend-developer",
            "source": "db"
          },
          {
            "display_name": "Vue Frontend Developer",
            "id": 91,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "vue-frontend-developer",
            "source": "db"
          },
          {
            "display_name": "Web Developer",
            "id": 25,
            "rationale": null,
            "role_archetype": null,
            "slug": "web-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 524,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "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,
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          "slug": "angular-component-model-and-templates",
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        "dimension_id": 303,
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          "rationale": "Covers the primary software frameworks and libraries often used alongside Sitecore for building and enhancing site experiences.",
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          "source": "db"
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        "dimension_id": 451,
        "input_skill": "Angular",
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "dimension_id": 360,
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          {
            "display_name": "Engineering Manager",
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        "dimension_id": 115,
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            "display_name": "Ionic Developer",
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            "role_archetype": null,
            "slug": "ionic-developer",
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          {
            "display_name": "Web Developer",
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            "rationale": null,
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            "display_name": "Fullstack Developer",
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        "dimension_id": 289,
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "roles_from_db": [
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            "display_name": ".NET Backend Developer",
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            "display_name": "Go Backend Developer",
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            "display_name": "Kotlin Backend Developer",
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            "display_name": "PHP Backend Developer",
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            "display_name": "Ruby Backend Developer",
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            "display_name": "Scala Backend Developer",
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          "source": "db"
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        "dimension_id": 277,
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        "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": [
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            "display_name": "Native Mobile Developer",
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            "slug": "native-mobile-developer",
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        "chosen_role_id": 15,
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          "display_name": "Container Orchestration Platforms",
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          "slug": "container-orchestration-platforms",
          "source": "db"
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        "dimension_id": 134,
        "input_skill": "Kubernetes",
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        "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": [
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            "display_name": "Cloud Architect",
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            "display_name": "DevOps Engineer",
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            "rationale": null,
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        "skill_id": 726,
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        "skipped_reason": null
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        "chosen_role_id": 15,
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          "rationale": "Kubernetes-native components used to schedule, accelerate, and isolate ML training and serving workloads. This includes GPU enablement and ML-specific controllers rather than generic cluster administration.",
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          "source": "db"
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        "dimension_id": 47,
        "input_skill": "Kubernetes",
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        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
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        "roles_from_db": [
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            "display_name": "ML Engineer",
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            "rationale": null,
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            "slug": "ml-engineer",
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            "display_name": "MLOps Engineer",
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            "rationale": null,
            "role_archetype": null,
            "slug": "ml-ops-engineer",
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        ],
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          "display_name": "Magento Search and Indexing",
          "id": 403,
          "rationale": "Index-driven storefront data freshness and search behavior. This cluster is coherent because Magento commerce sites depend on indexing to keep catalog, price, and search results aligned with changing data.",
          "slug": "magento-search-and-indexing",
          "source": "db"
        },
        "dimension_id": 403,
        "input_skill": "Elasticsearch",
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        "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": [
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            "display_name": "Magento Dev",
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            "rationale": null,
            "role_archetype": "Engineering",
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        ],
        "skill_dimension_saved": true,
        "skill_id": 3171,
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        "skipped_reason": null
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        "chosen_role_id": 15,
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          "difficulty_hint": "well_known",
          "display_name": "Search and Content Discovery",
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          "rationale": "Implementing site search, indexing, and content discovery features in Drupal. This cluster is coherent because many Drupal sites need structured search experiences beyond basic navigation.",
          "slug": "search-and-content-discovery",
          "source": "db"
        },
        "dimension_id": 356,
        "input_skill": "Elasticsearch",
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        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
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            "display_name": "Drupal Dev",
            "id": 228,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "drupal-dev",
            "source": "db"
          },
          {
            "display_name": "Sitecore Dev",
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            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "sitecore-dev",
            "source": "db"
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        ],
        "skill_dimension_saved": true,
        "skill_id": 3171,
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        "skipped_reason": null
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        "chosen_role_id": 15,
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          "rationale": "Modeling and tuning relational persistence for backend features. PHP backend developers need this to shape schemas, indexes, transactions, and query-aware data structures that support application behavior.",
          "slug": "relational-data-modeling",
          "source": "db"
        },
        "dimension_id": 216,
        "input_skill": "MySQL",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
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            "display_name": "Fullstack Developer",
            "id": 435,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "fullstack-developer",
            "source": "db"
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          {
            "display_name": "Fullstack Developer",
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            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
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          },
          {
            "display_name": "PHP Backend Developer",
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            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "php-backend-developer",
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        ],
        "skill_dimension_saved": true,
        "skill_id": 17,
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          "rationale": "Modeling and operating relational persistence for backend services. Includes schema design, normalization, indexing, transactions, and query tuning for operational data stores.",
          "slug": "relational-database-design",
          "source": "db"
        },
        "dimension_id": 4,
        "input_skill": "MySQL",
        "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,
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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.

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