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Pipeline run

50262a96-5d86-4e7d-adba-ac3c1e8ebdd7

Pipeline LLM cost (USD)
API 1: $0.0103 API 2: $0.0004 API 3: $0.0000 Total: $0.0107

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 · Full-stack debugging and tuning
Own backend-heavy automation and optimization work: streamline subscription/payment workflows, reduce manual ops through sandboxed tools, and clean up technical debt/performance issues while integrating into the core product team on tests and CI/CD.
"Reducing operating costs through code efficiency and query optimization; improving application performance and SLAs; owning technical debt cleanup tasks"
Tech stack maturity
Modern Cloud Native
The skill set centers on AWS, CI/CD, DevOps, GitHub, Node.js, React.js, PostgreSQL, and testing practices, which strongly aligns with a modern cloud-native fullstack environment.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.50 / 5
· Title match
Has AI skill
· AI skill (primary)
AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1): Copilot, GitHub Copilot
Frameworks (×2):
Models / concepts (×3): agentic AI, agentic, AI
Evidence — skills matched in JD (20)
Node.js React.js PostgreSQL AWS GitHub CI/CD DevOps Agile Scrum Slack Unit Testing Integration Testing Test-Driven Development Notion Google Workspace Visual Studio GitHub Copilot Jira Big Data Workflow Automation
Skill cluster (6 dimension groups, role-scoped)
CI/CD Pipeline Platforms
DevOps
Cloud Platforms
AWS
Relational Data Modeling
PostgreSQL
Testing and Quality Assurance
Integration Testing
Web Application Frameworks
Node.js
Cross-cutting / unaligned
React.js GitHub CI/CD Agile Scrum Slack Unit Testing Test-Driven Development Notion Google Workspace Visual Studio GitHub Copilot Jira Big Data Workflow Automation
Show KRA description ↓
We're looking for a remote Full Stack Engineer to help us mature our development practices and scale efficiently. We've outgrown our "move fast, break things" approach and need to address technical debt accumulated while building our foundational product—the problem is we never got to the "fix it afterwards" part. In this role, you'll tackle critical behind-the-scenes work that keeps our engine running smoother while freeing up team capacity for revenue-generating activities. You'll start with independent sandboxed projects on system optimization and automation, then gradually integrate into our development team building the next-generation agentic AI decision engine. This addresses a fundamental scaling challenge: our customers are no longer neighbors we can call to explain workarounds—they expect a polished, self-service experience. With 5 years of campaign data and 2M+ influencer data points, you'll work on the foundation enabling our platform's AI evolution while automating time-consuming manual processes. velocity (accuracy toward estimates and work output), quality of deliverables, and demonstration of maturity, judgment, and initiative. • Operations Team Automation: Automating subscription workflows and payments; building digital wallet adjustment systems; creating tier upgrade processes; eliminating manual lookups and follow-ups for operations team; working independently on sandboxed automation projects • System Optimization: Reducing operating costs through code efficiency and query optimization; improving application performance and SLAs; owning technical debt cleanup tasks; modernizing legacy systems; freeing up team capacity through backend improvements • Digital Wallet Enhancements: Building financial tools for creator independence; developing tax reporting and expense tracking capabilities; creating reimbursement marking features; providing transparent payment dashboards connecting bank statements with campaign data; integrating existing third-party financial tools • Product Development Integration: Participating in 2-week sprints with daily standups; maintaining UX/Design 2 weeks ahead of engineering; releasing bi-weekly through CI/CD pipeline; writing unit and integration tests; receiving peer code reviews initially; gradually integrating into core development team after backlog completion. • 4+ years of experience as Full Stack Engineer, Software Developer, JavaScript Developer, Back-end Engineer, or related (front-end only roles are not a good fit) • Node.js, React.js, PostgreSQL, AWS experience • GitHub proficiency (profile link required) • CI/CD pipelines and AWS architecture understanding • Agile-scrum environment experience • Strong English communication (verbal and written) • Clear Slack communication for debugging and collaboration • Technical decision-making maturity and judgment • Initiative to own commitments and deliver against timelines. • Advanced automated testing, CI/CD, DevOps experience • AI and big data background • Workflow automation understanding • Test-driven development experience • Familiarity with our tools: Notion, Slack, Google Workspace, Visual Studio IDE, GitHub Copilot, Jira, Node.js, React.js, PostgreSQL, AWS.

Signals

Skill python-backend-developer
0.31
Alias frontend-engineer
1.00
KRA full-stack-engineer
0.59

Post-classification

Centroidupdated · n=244
Alias collision log
New-role queue
New skills captured9
New KRA captured

Captured for admin review

Slack primary Fullstack Developer pending
Notion Fullstack Developer pending
Google Workspace Fullstack Developer pending
Visual Studio Fullstack Developer pending
GitHub Copilot Fullstack Developer pending
Jira Fullstack Developer pending
Test-Driven Development primary Fullstack Developer pending
Big Data Fullstack Developer pending
Workflow Automation Fullstack Developer pending
Status: completed Created: 2026-05-27T14:33:41.400948Z Updated: 2026-06-12T17:35:14.923636Z API 3 duration: 49046 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 explicitly seeks a Full Stack Engineer and describes both backend/system optimization work and product development integration, which best matches full-stack responsibilities.

Matched skills

JavaScriptCI/CDunit testsintegration testssubscription workflowspaymentsdigital walletquery optimizationapplication performancetechnical debtlegacy systemsthird-party financial toolsdaily standupssprintsbank statements

Matched dimensions

Full-stack product developmentOperations automationSystem optimizationBackend performance improvementFinancial workflow toolingAgile team integrationTechnical debt remediation

Matched KRAs

Automating subscription workflows and paymentsBuilding digital wallet adjustment systemsEliminating manual lookups and follow-upsReducing operating costs through code efficiencyImproving application performance and SLAsOwning technical debt cleanup tasksParticipating in 2-week sprints with daily standupsReleasing bi-weekly through CI/CD pipelineWriting unit and integration testsGradually integrating into core development team

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

0
New skills
0
Skill↔dim saved
0
Role↔dim saved
0
Skipped

Job description

Goodwork is recruiting for a Canadian-based AI-powered influencer marketing platform that’s transforming how brands and creators connect.


What makes this opportunity interesting?
• 🇨🇦 Canadian company with exciting AI and big data development challenges ahead
• 📊 Data-rich environment - 5+ years of influencer marketing campaigns and 2M+ influencer data points
• 🤖 AI evolution underway – shifting from an agency model to a self-optimizing, agentic decision engine

About the Company

We're an AI-powered influencer marketing platform connecting brands with creators to amplify their marketing impact. Our mission: To revolutionize the relationship between brands and creators with an innovative ecosystem that empowers them to connect, collaborate more effectively, and unlock unparalleled financial opportunities.


We deliver end-to-end influencer marketing solutions including strategy development, campaign execution, and performance tracking across TikTok, Instagram, YouTube, X/Twitter, and LinkedIn. Our platform streamlines influencer discovery from 250M+ creators and manages organic marketing, UGC, and affiliate campaigns. We're evolving from a tool into an autonomous AI system where brands simply describe their goals and our platform determines the optimal strategy, influencers, and budget allocation—eliminating the need for industry expertise.


Our customers span health and wellness, fashion, tech, packaged foods, beauty, and skincare across North America and Europe. We connect brands like Nike, Groupon, Fender, Bellroy, Luxottica, and Best Buy with micro and macro influencers, creating financial freedom for creators while delivering measurable results—like helping Groupon scale 300+ UGC assets while cutting cost-per-click by 40%.


We're the recognized industry leader: #1 Influencer Marketing Solution by G2, #1 on InfluencerMarketingHub, and #1 on SmartSites—demonstrating our market leadership and high growth trajectory in the creator economy.


OUR COMPANY VALUES guide our team and shape our culture: 


• 🦁 Courage: Be brave and bold, fearlessly push boundaries.
• 🤝 Respect: Respect for teammates, clients, creators, partners, the industry, and communities we touch.
• 🙌 Enthusiasm: Show passion and excitement in all you do.
• 🔄 Adaptability: Be open to (and ready for) change, evolve with the times.
• 💪 Tenacity: Pursue goals and outcomes with relentless determination.
• ☀️ Optimism: Maintain a positive outlook, even in adversity.
• 📈 Results: Results matter for us, our clients, community, shareholders, and partners.


We're a hybrid organization with 28 teammates based primarily in Vancouver, BC, Canada, with one remote member in interior BC, and international contractors in the Philippines and UK. Our leadership includes CEO, CSO (Chief Strategy Officer), and Head of Operations, with dedicated teams for Engineering & Product, Operations, Sales, Marketing, and Customer Success.


Our fast-paced startup culture has everyone taking on significant responsibilities and driving meaningful impact. We thrive on constant communication and innovation, building the best possible product for creators and brands. We work hard and celebrate hard—rewarding dedication through team building and recognition.


About the Role

We're looking for a remote Full Stack Engineer to help us mature our development practices and scale efficiently. We've outgrown our "move fast, break things" approach and need to address technical debt accumulated while building our foundational product—the problem is we never got to the "fix it afterwards" part.


In this role, you'll tackle critical behind-the-scenes work that keeps our engine running smoother while freeing up team capacity for revenue-generating activities. You'll start with independent sandboxed projects on system optimization and automation, then gradually integrate into our development team building the next-generation agentic AI decision engine.


This addresses a fundamental scaling challenge: our customers are no longer neighbors we can call to explain workarounds—they expect a polished, self-service experience. With 5 years of campaign data and 2M+ influencer data points, you'll work on the foundation enabling our platform's AI evolution while automating time-consuming manual processes.


Our IDEAL CANDIDATE brings 4-6 years of experience in roles like Full Stack Engineer, Software Developer, JavaScript Developer, or Back-end Engineer (front-end only developers are not a good fit). You have solid technical skills with Node.js, React.js, PostgreSQL, and AWS, plus experience in agile environments with CI/CD pipelines. You demonstrate maturity, judgment, and initiative—taking ownership of commitments, delivering against timelines with minimal supervision, and crushing technical debt backlogs. You understand the value of influencer marketing and social media in modern brand building, even without extensive personal social accounts. You're excited about working in a data-rich environment where your optimizations will help us scale to serve more creators and brands.


Your performance will be measured by velocity (accuracy toward estimates and work output), quality of deliverables, and demonstration of maturity, judgment, and initiative.


You'll be part of our Engineering & Product team. This position reports directly to our Head of Engineering.


You’ll be doing things like:


• Operations Team Automation: Automating subscription workflows and payments; building digital wallet adjustment systems; creating tier upgrade processes; eliminating manual lookups and follow-ups for operations team; working independently on sandboxed automation projects
• System Optimization: Reducing operating costs through code efficiency and query optimization; improving application performance and SLAs; owning technical debt cleanup tasks; modernizing legacy systems; freeing up team capacity through backend improvements
• Digital Wallet Enhancements: Building financial tools for creator independence; developing tax reporting and expense tracking capabilities; creating reimbursement marking features; providing transparent payment dashboards connecting bank statements with campaign data; integrating existing third-party financial tools
• Product Development Integration: Participating in 2-week sprints with daily standups; maintaining UX/Design 2 weeks ahead of engineering; releasing bi-weekly through CI/CD pipeline; writing unit and integration tests; receiving peer code reviews initially; gradually integrating into core development team after backlog completion


Skills & Qualifications• 4+ years of experience as Full Stack Engineer, Software Developer, JavaScript Developer, Back-end Engineer, or related (front-end only roles are not a good fit)
• Node.js, React.js, PostgreSQL, AWS experience
• GitHub proficiency (profile link required)
• CI/CD pipelines and AWS architecture understanding
• Agile-scrum environment experience
• Strong English communication (verbal and written)
• Clear Slack communication for debugging and collaboration
• Technical decision-making maturity and judgment
• Initiative to own commitments and deliver against timelines


Bonus if you also have:


• Advanced automated testing, CI/CD, DevOps experience
• AI and big data background
• Workflow automation understanding
• Test-driven development experience
• Familiarity with our tools: Notion, Slack, Google Workspace, Visual Studio IDE, GitHub Copilot, Jira, Node.js, React.js, PostgreSQL, AWS


Position Details• Working Hours: 4 hours of required overlap between 6-10AM PT (Pacific Time); remaining daily hours asynchronous
• Employment Type: Full-time (40 hours/week), Exclusivity Preferred
• Education: BS/MSc Software Engineering/Computer Sciences, or comparable work experience
• Level: Upper Intermediate (4-5 years of relevant work experience), Senior (6+ years of relevant work experience)
• Compensation: ~ CAD $1,728–2,128 (INR 108K–133K), based on experience. Structured as a Consultant Agreement (independent contractor), meaning you'll be responsible for your own taxes, benefits, and insurance.


Benefits of working with us: • 🚀 Work directly with a forward-thinking international company
• 🏡 Work from the comfort of your home
• 🏆 Incredibly talented teammates
• 🧘🏾‍♀️ Work-life balance: 8 hours a day, 5 days a week
• 💰 Above-market compensation
• 💻 Remote-first company culture
• 🧠 Lots of learning & growth opportunities
• 🤖 Exciting platform development challenges around AI and big data
• 📊 Work with rich datasets (5+ years of campaign data, 2M+ influencer data points)
• 🎯 Significant impact role that directly improves operational efficiency
• 🚀 Opportunity to help build the future of influencer marketing technology


Not sure you meet all the requirements? Apply anyway! We value diverse experiences and hire for potential. If you don't hear back within 4 weeks, assume you weren't selected, but Goodwork may still reach out about other remote roles.


---
Additional keywords: 
Remote Full Stack Developer Jobs, Node React PostgreSQL AWS, Backend Engineer Remote Work, JavaScript Developer Opportunities, System Optimization Engineer, Technical Debt Specialist, Startup Engineering Jobs, Canadian Tech Company Remote, Influencer Marketing Platform Developer, AI Platform Engineer, Data-Driven Development, Agile Remote Developer, Vancouver Tech Jobs Remote, Creator Economy Developer, Social Media Platform Engineer

Skills from this JD

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

Node.js Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Node.js id=1564 · node-js

Aliases — catalog

  • Node.js (CANONICAL) primary
  • Node 20 LTS (VERSION)
  • Node 20.x (VERSION)
  • Node.js 20 (VERSION)
  • Node.js 20 LTS (VERSION)
  • Node.js 20.x (VERSION)
  • node (VERSION)
  • node 10 (VERSION)
  • node 12 (VERSION)
  • node 14 (VERSION)
  • node 16 (VERSION)
  • node 18 (VERSION)
  • node 20 (VERSION)
  • node v10 (VERSION)
  • node v12 (VERSION)
  • node v14 (VERSION)
  • node v16 (VERSION)
  • node v18 (VERSION)
  • node v20 (VERSION)
  • node.js (VERSION)
  • node.js 10 (VERSION)
  • node.js 12 (VERSION)
  • node.js 14 (VERSION)
  • node.js 16 (VERSION)
  • node.js 18 (VERSION)
  • node.js 20 (VERSION)
  • nodejs (VERSION)
  • nodejs 10 (VERSION)
  • nodejs 12 (VERSION)
  • nodejs 14 (VERSION)
  • nodejs 16 (VERSION)
  • nodejs 18 (VERSION)
  • nodejs 20 (VERSION)

Context tags (catalog)

API Asynchronous Event-driven Express GraphQL JavaScript Jest Koa Microservices Middleware Mocha MongoDB Mongoose NestJS RESTful Socket.io TypeScript npm

Stored enrichment (catalog DB)

Category
Runtime
Sub-category
Javascript Runtime
Vendor
OpenJS Foundation
License
mit
Year introduced
2009
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
20

Maturity reasoning: Node.js appears in high-volume job postings across backend/full-stack roles and is a standard runtime in major cloud/vendor docs and ecosystem tooling, indicating broad hiring-pipeline adoption.

Skill profile (library / DB)

Skill nature
RUNTIME
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
67
Sub-category id
1872
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • 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

  • Web Application Frameworks Catalog dimension db id 2

    Library dimension (catalog)

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

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
JavaScript and TypeScript
javascript-and-typescript
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Web Application Frameworks
web-application-frameworks
Existing dimension (library) · Role↔dimension saved
React.js Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: React.js id=514 · react-js

Aliases — catalog

  • React 0.1 (VERSION)
  • React 0.10 (VERSION)
  • React 0.11 (VERSION)
  • React 0.12 (VERSION)
  • React 0.13 (VERSION)
  • React 0.14 (VERSION)
  • React 0.2 (VERSION)
  • React 0.3 (VERSION)
  • React 0.4 (VERSION)
  • React 0.5 (VERSION)
  • React 0.6 (VERSION)
  • React 0.7 (VERSION)
  • React 0.8 (VERSION)
  • React 0.9 (VERSION)
  • React 15 (VERSION)
  • React 16 (VERSION)
  • React 17 (VERSION)
  • React 18 (VERSION)
  • React.js (CANONICAL)
  • React.js 15 (VERSION)
  • React.js 16 (VERSION)
  • React.js 17 (VERSION)
  • React.js 18 (VERSION)

Context tags (catalog)

JSX Material UI Next.js React Router Redux SSR Tailwind CSS TypeScript component lifecycle hooks props state management useEffect useState virtual DOM

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Frontend Ui Framework
Vendor
Meta
License
mit
Year introduced
2013
Confidence
0.98
Version strategy
SEPARATE_ENTITY
Version tag
18

Maturity reasoning: React.js is a hiring-pipeline staple with very high JD volume across frontend roles and broad ecosystem adoption; it remains one of the most commonly requested UI frameworks on job boards and in GitHub usage trends.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
363
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)
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)
AWS Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: AWS id=187 · aws

Aliases — catalog

  • AWS (CANONICAL) primary

Context tags (catalog)

API Gateway AWS CLI Auto Scaling CloudFormation CloudFront CloudTrail CloudWatch Cognito DynamoDB EC2 ECS EKS Elastic Beanstalk Elastic Load Balancing IAM KMS Lambda RDS Route 53 S3 SNS SQS Serverless VPC

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Cloud Platform
Vendor
Amazon
License
other_open
Year introduced
2006
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: AWS is a hiring-pipeline staple: it appears in a large share of cloud/DevOps job descriptions and dominates public cloud market share, with broad certification and vendor ecosystem support.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
46
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Platforms Catalog dimension db id 20

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer

  • Cloud Platforms for AI Deployment Catalog dimension db id 211

    Library dimension (catalog)

    Roles linked in library: AI Engineer

  • Cloud Provider Platforms Catalog dimension db id 131

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, Cloud Security Engineer

  • Cloud Security Posture Tools Catalog dimension db id 64

    Library dimension (catalog)

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

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension saved
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitHub Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: GitHub id=280 · github

Aliases — catalog

  • GitHub (CANONICAL) primary

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

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

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
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)
DevOps Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: DevOps id=1216 · devops

Aliases — catalog

  • DevOps (CANONICAL)

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

Maturity reasoning: DevOps appears in a large share of software and platform engineering job descriptions, often alongside CI/CD, Kubernetes, and cloud tooling; it is a standard hiring-pipeline keyword rather than a niche specialty.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
922
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Deployment and Release Patterns Catalog dimension db id 140

    Library dimension (catalog)

    Roles linked in library: Cloud Architect

  • Infrastructure as Code Catalog dimension db id 132

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Deployment and Release Patterns
deployment-and-release-patterns
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Agile Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Agile id=520 · agile

Aliases — catalog

  • Agile (CANONICAL) primary

Context tags (catalog)

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

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Agile
Confidence
0.99
Version strategy
NOT_APPLICABLE

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

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
367
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
921
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)
Slack 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
Collaboration Tools
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Notion 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
Collaboration Tools
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Google Workspace 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
Collaboration Tools
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Visual 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
Development Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
GitHub Copilot 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
Development Tools
Sub-category
general
Skill nature
TOOL
Volatility
FAST
Typical lifespan
SHORT_LIVED
Version strategy
VERSIONED
Jira Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Project Management Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Unit Testing Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Unit Testing id=517 · unit-testing

Aliases — catalog

  • Unit Testing (CANONICAL)

Context tags (catalog)

JUnit NUnit TDD arrange-act-assert assertions code coverage fixtures mocking pytest regression stubs test cases test doubles test runner xUnit

Stored enrichment (catalog DB)

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

Maturity reasoning: Unit testing is a standard hiring requirement across software JDs and appears in mainstream frameworks/docs; GitHub and Stack Overflow usage remain consistently high, with no successor replacing it.

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • 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)
Integration Testing Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Integration testing id=56 · integration-testing

Aliases — catalog

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

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • Testing and Defect Resolution Catalog dimension db id 262

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Testing and Quality Assurance Catalog dimension db id 12

    Library dimension (catalog)

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

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Testing and Defect Resolution
testing-and-defect-resolution
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Testing and Quality Assurance
testing-and-quality-assurance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Test-Driven Development 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
Software Development Practices
Sub-category
general
Skill nature
PRACTICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Big Data 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
Data Engineering
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Workflow Automation 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
Automation Tools
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
Node.js in_db
JavaScript and TypeScript
javascript-and-typescript
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Node.js in_db
Web Application Frameworks
web-application-frameworks
Existing dimension (library) · Role↔dimension saved
React.js in_db
React Frontend Development
d_init_01
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)
AWS in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension saved
AWS in_db
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Cloud Provider Platforms
cloud-provider-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS in_db
Cloud Security Posture Tools
cloud-security-posture-tools
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitHub in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitHub in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
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)
DevOps in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
DevOps in_db
Deployment and Release Patterns
deployment-and-release-patterns
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
DevOps in_db
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Agile 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)
Unit Testing in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Integration Testing in_db
Testing and Defect Resolution
testing-and-defect-resolution
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Integration Testing in_db
Testing and Quality Assurance
testing-and-quality-assurance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Slack | type=Collaboration Tools subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Notion | type=Collaboration Tools subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Google Workspace | type=Collaboration Tools subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Visual Studio | type=Development Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed GitHub Copilot | type=Development Tools subtype=general nature=TOOL lifespan=SHORT_LIVED
canonical_skill_proposed Jira | type=Project Management Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Test-Driven Development | type=Software Development Practices subtype=general nature=PRACTICE lifespan=EVERGREEN
canonical_skill_proposed Big Data | type=Data Engineering subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Workflow Automation | type=Automation Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RoleFull Stack Engineer
CompanyGoodwork
Experience4-6 years of experience
CTC{'max': 2128, 'min': 1728, 'raw': 'CAD $1,728–2,128 (INR 108K–133K)', 'period': 'monthly', 'currency': 'CAD'}
DomainSoftware & SaaS Products
Location Vancouver, Canada (hybrid)
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": {
    "source_marker": {
      "first_5_words": "We\u0027re an AI-powered influencer marketing",
      "last_5_words": "and unlock unparalleled financial opportunities."
    },
    "text": "We\u0027re an AI-powered influencer marketing platform connecting brands with creators to amplify their marketing impact. Our mission: To revolutionize the relationship between brands and creators with an innovative ecosystem that empowers them to connect, collaborate more effectively, and unlock unparalleled financial opportunities.",
    "word_count": 50
  },
  "certifications": [],
  "company_name": "Goodwork",
  "ctc": {
    "currency": "CAD",
    "max": 2128,
    "min": 1728,
    "period": "monthly",
    "raw": "CAD $1,728\u20132,128 (INR 108K\u2013133K)"
  },
  "domain": {
    "primary": {
      "aliases": [
        "SaaS",
        "Product Companies"
      ],
      "domain": "Software \u0026 SaaS Products"
    },
    "secondary": {
      "aliases": [
        "Creator Economy",
        "Social Media Marketing"
      ],
      "domain": "Influencer Marketing"
    }
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "BS/MSc - Software Engineering/Computer Sciences",
      "raw": "BS/MSc Software Engineering/Computer Sciences, or comparable work experience",
      "requirement": "preferred"
    }
  ],
  "experience": {
    "max": 6,
    "min": 4,
    "raw": "4-6 years of experience"
  },
  "job_locations": [
    {
      "aliases": [
        "Vancouver, BC"
      ],
      "city": "Vancouver",
      "country": "Canada",
      "state": "British Columbia",
      "work_mode": "hybrid"
    }
  ],
  "role": "Full Stack Engineer",
  "role_aliases": [
    "Software Developer",
    "JavaScript Developer",
    "Back-end Engineer"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 0,
      "heading": "About the Role",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "We\u0027re looking for a remote",
        "last_5_words": "time-consuming manual processes."
      },
      "text": "We\u0027re looking for a remote Full Stack Engineer to help us mature our development practices and scale efficiently. We\u0027ve outgrown our \"move fast, break things\" approach and need to address technical debt accumulated while building our foundational product\u2014the problem is we never got to the \"fix it afterwards\" part.\n\nIn this role, you\u0027ll tackle critical behind-the-scenes work that keeps our engine running smoother while freeing up team capacity for revenue-generating activities. You\u0027ll start with independent sandboxed projects on system optimization and automation, then gradually integrate into our development team building the next-generation agentic AI decision engine.\n\nThis addresses a fundamental scaling challenge: our customers are no longer neighbors we can call to explain workarounds\u2014they expect a polished, self-service experience. With 5 years of campaign data and 2M+ influencer data points, you\u0027ll work on the foundation enabling our platform\u0027s AI evolution while automating time-consuming manual processes.",
      "word_count": 197
    },
    {
      "bullet_count": 0,
      "heading": "Your performance will be measured by",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "velocity (accuracy toward estimates",
        "last_5_words": "maturity, judgment, and initiative."
      },
      "text": "velocity (accuracy toward estimates and work output), quality of deliverables, and demonstration of maturity, judgment, and initiative.",
      "word_count": 22
    },
    {
      "bullet_count": 4,
      "heading": "You\u2019ll be doing things like",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Operations Team Automation: Automating",
        "last_5_words": "after backlog completion."
      },
      "text": "\u2022 Operations Team Automation: Automating subscription workflows and payments; building digital wallet adjustment systems; creating tier upgrade processes; eliminating manual lookups and follow-ups for operations team; working independently on sandboxed automation projects\n\u2022 System Optimization: Reducing operating costs through code efficiency and query optimization; improving application performance and SLAs; owning technical debt cleanup tasks; modernizing legacy systems; freeing up team capacity through backend improvements\n\u2022 Digital Wallet Enhancements: Building financial tools for creator independence; developing tax reporting and expense tracking capabilities; creating reimbursement marking features; providing transparent payment dashboards connecting bank statements with campaign data; integrating existing third-party financial tools\n\u2022 Product Development Integration: Participating in 2-week sprints with daily standups; maintaining UX/Design 2 weeks ahead of engineering; releasing bi-weekly through CI/CD pipeline; writing unit and integration tests; receiving peer code reviews initially; gradually integrating into core development team after backlog completion.",
      "word_count": 206
    },
    {
      "bullet_count": 9,
      "heading": "Skills \u0026 Qualifications",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 4+ years of experience as",
        "last_5_words": "commitments and deliver against timelines."
      },
      "text": "\u2022 4+ years of experience as Full Stack Engineer, Software Developer, JavaScript Developer, Back-end Engineer, or related (front-end only roles are not a good fit)\n\u2022 Node.js, React.js, PostgreSQL, AWS experience\n\u2022 GitHub proficiency (profile link required)\n\u2022 CI/CD pipelines and AWS architecture understanding\n\u2022 Agile-scrum environment experience\n\u2022 Strong English communication (verbal and written)\n\u2022 Clear Slack communication for debugging and collaboration\n\u2022 Technical decision-making maturity and judgment\n\u2022 Initiative to own commitments and deliver against timelines.",
      "word_count": 90
    },
    {
      "bullet_count": 5,
      "heading": "Bonus if you also have",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Advanced automated testing, CI/CD,",
        "last_5_words": "Node.js, React.js, PostgreSQL, AWS."
      },
      "text": "\u2022 Advanced automated testing, CI/CD, DevOps experience\n\u2022 AI and big data background\n\u2022 Workflow automation understanding\n\u2022 Test-driven development experience\n\u2022 Familiarity with our tools: Notion, Slack, Google Workspace, Visual Studio IDE, GitHub Copilot, Jira, Node.js, React.js, PostgreSQL, AWS.",
      "word_count": 56
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Node.js"
    },
    {
      "is_primary": true,
      "skill_name": "React.js"
    },
    {
      "is_primary": true,
      "skill_name": "PostgreSQL"
    },
    {
      "is_primary": true,
      "skill_name": "AWS"
    },
    {
      "is_primary": true,
      "skill_name": "GitHub"
    },
    {
      "is_primary": true,
      "skill_name": "CI/CD"
    },
    {
      "is_primary": true,
      "skill_name": "DevOps"
    },
    {
      "is_primary": true,
      "skill_name": "Agile"
    },
    {
      "is_primary": true,
      "skill_name": "Scrum"
    },
    {
      "is_primary": true,
      "skill_name": "Slack"
    },
    {
      "is_primary": false,
      "skill_name": "Notion"
    },
    {
      "is_primary": false,
      "skill_name": "Google Workspace"
    },
    {
      "is_primary": false,
      "skill_name": "Visual Studio"
    },
    {
      "is_primary": false,
      "skill_name": "GitHub Copilot"
    },
    {
      "is_primary": false,
      "skill_name": "Jira"
    },
    {
      "is_primary": true,
      "skill_name": "Unit Testing"
    },
    {
      "is_primary": true,
      "skill_name": "Integration Testing"
    },
    {
      "is_primary": true,
      "skill_name": "Test-Driven Development"
    },
    {
      "is_primary": false,
      "skill_name": "Big Data"
    },
    {
      "is_primary": false,
      "skill_name": "Workflow Automation"
    }
  ],
  "jd_role": {
    "display_name": "Full Stack Engineer",
    "rationale": null,
    "role_aliases": [
      "Software Developer",
      "JavaScript Developer",
      "Back-end Engineer"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": {
      "source_marker": {
        "first_5_words": "We\u0027re an AI-powered influencer marketing",
        "last_5_words": "and unlock unparalleled financial opportunities."
      },
      "text": "We\u0027re an AI-powered influencer marketing platform connecting brands with creators to amplify their marketing impact. Our mission: To revolutionize the relationship between brands and creators with an innovative ecosystem that empowers them to connect, collaborate more effectively, and unlock unparalleled financial opportunities.",
      "word_count": 50
    },
    "certifications": [],
    "company_name": "Goodwork",
    "ctc": {
      "currency": "CAD",
      "max": 2128,
      "min": 1728,
      "period": "monthly",
      "raw": "CAD $1,728\u20132,128 (INR 108K\u2013133K)"
    },
    "domain": {
      "primary": {
        "aliases": [
          "SaaS",
          "Product Companies"
        ],
        "domain": "Software \u0026 SaaS Products"
      },
      "secondary": {
        "aliases": [
          "Creator Economy",
          "Social Media Marketing"
        ],
        "domain": "Influencer Marketing"
      }
    },
    "education": [
      {
        "level": "Bachelor\u0027s",
        "qualification": "BS/MSc - Software Engineering/Computer Sciences",
        "raw": "BS/MSc Software Engineering/Computer Sciences, or comparable work experience",
        "requirement": "preferred"
      }
    ],
    "experience": {
      "max": 6,
      "min": 4,
      "raw": "4-6 years of experience"
    },
    "job_locations": [
      {
        "aliases": [
          "Vancouver, BC"
        ],
        "city": "Vancouver",
        "country": "Canada",
        "state": "British Columbia",
        "work_mode": "hybrid"
      }
    ],
    "role": "Full Stack Engineer",
    "role_aliases": [
      "Software Developer",
      "JavaScript Developer",
      "Back-end Engineer"
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 0,
        "heading": "About the Role",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "We\u0027re looking for a remote",
          "last_5_words": "time-consuming manual processes."
        },
        "text": "We\u0027re looking for a remote Full Stack Engineer to help us mature our development practices and scale efficiently. We\u0027ve outgrown our \"move fast, break things\" approach and need to address technical debt accumulated while building our foundational product\u2014the problem is we never got to the \"fix it afterwards\" part.\n\nIn this role, you\u0027ll tackle critical behind-the-scenes work that keeps our engine running smoother while freeing up team capacity for revenue-generating activities. You\u0027ll start with independent sandboxed projects on system optimization and automation, then gradually integrate into our development team building the next-generation agentic AI decision engine.\n\nThis addresses a fundamental scaling challenge: our customers are no longer neighbors we can call to explain workarounds\u2014they expect a polished, self-service experience. With 5 years of campaign data and 2M+ influencer data points, you\u0027ll work on the foundation enabling our platform\u0027s AI evolution while automating time-consuming manual processes.",
        "word_count": 197
      },
      {
        "bullet_count": 0,
        "heading": "Your performance will be measured by",
        "heading_was_present": true,
        "source_marker": {
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API 2 — extract-details
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          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD for Machine Learning",
            "id": 56,
            "rationale": "Tools and platforms for automating ML model integration, testing, and deployment pipelines.",
            "slug": "ci-cd-for-machine-learning",
            "source": "db"
          },
          "input_skill": "CI/CD",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "CI/CD",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "DevOps",
          "alias_type": "CANONICAL",
          "id": 1852,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "DevOps",
        "id": 1216,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "devops",
        "sub_category_id": 922,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD Pipeline Platforms",
            "id": 150,
            "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
            "slug": "ci-cd-pipeline-platforms",
            "source": "db"
          },
          "input_skill": "DevOps",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Deployment and Release Patterns",
            "id": 140,
            "rationale": "Patterns for promoting changes safely across environments, including rollout, rollback, and release gating strategies. Cloud Architects define these patterns so teams can deploy consistently across the platform.",
            "slug": "deployment-and-release-patterns",
            "source": "db"
          },
          "input_skill": "DevOps",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Infrastructure as Code",
            "id": 132,
            "rationale": "Declarative provisioning and environment definition tools used to codify cloud infrastructure, repeatable environments, and platform standards. Cloud Architects use these to express reference architectures and guardrails.",
            "slug": "infrastructure-as-code",
            "source": "db"
          },
          "input_skill": "DevOps",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            },
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "DevOps",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Agile",
          "alias_type": "CANONICAL",
          "id": 868,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "Agile",
        "id": 520,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "agile",
        "sub_category_id": 367,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Agile",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Agile",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Scrum",
          "alias_type": "CANONICAL",
          "id": 1851,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "Scrum",
        "id": 1215,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "scrum",
        "sub_category_id": 921,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Scrum",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Scrum",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Slack",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Collaboration Tools",
          "skill_nature": "PLATFORM",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "slack",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Notion",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Collaboration Tools",
          "skill_nature": "PLATFORM",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "notion",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Google Workspace",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Collaboration Tools",
          "skill_nature": "PLATFORM",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "google-workspace",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Visual Studio",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Development Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "visual-studio",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "GitHub Copilot",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Development Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "SHORT_LIVED",
          "version_strategy": "VERSIONED",
          "volatility": "FAST"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "github-copilot",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Jira",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Project Management Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "jira",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Unit Testing",
          "alias_type": "CANONICAL",
          "id": 865,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "Unit Testing",
        "id": 517,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "unit-testing",
        "sub_category_id": 44,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Unit Testing",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Unit Testing",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Integration testing",
          "alias_type": "CANONICAL",
          "id": 2945,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "integration testing",
          "alias_type": "CANONICAL",
          "id": 193,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "Integration testing",
        "id": 56,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "integration-testing",
        "sub_category_id": 44,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Testing and Defect Resolution",
            "id": 262,
            "rationale": "Validates Pega rules, flows, and integrations and then troubleshoots defects found in lower environments or production. This is a coherent cluster because the role is expected to verify platform behavior and fix rule-level issues.",
            "slug": "testing-and-defect-resolution",
            "source": "db"
          },
          "input_skill": "Integration Testing",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Pega Developer",
              "id": 24,
              "rationale": null,
              "role_archetype": null,
              "slug": "pega-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Testing and Quality Assurance",
            "id": 12,
            "rationale": "Backend-specific test strategies used to validate service behavior and integration points. Covers automated test layers, contract checks, fixtures, and regression prevention.",
            "slug": "testing-and-quality-assurance",
            "source": "db"
          },
          "input_skill": "Integration Testing",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": ".NET Backend Developer",
              "id": 83,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "dotnet-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Backend Developer",
              "id": 1,
              "rationale": null,
              "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
              "slug": "backend-engineer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "PHP Backend Developer",
              "id": 86,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "php-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Integration Testing",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Test-Driven Development",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Software Development Practices",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "test-driven-development",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Big Data",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Data Engineering",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "big-data",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Workflow Automation",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Automation Tools",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "workflow-automation",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Slack",
    "Notion",
    "Google Workspace",
    "Visual Studio",
    "GitHub Copilot",
    "Jira",
    "Test-Driven Development",
    "Big Data",
    "Workflow Automation"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Fullstack Developer",
    "id": 15,
    "rationale": "Domain=Software Engineering; The JD explicitly seeks a Full Stack Engineer and describes both backend/system optimization work and product development integration, which best matches full-stack responsibilities.",
    "role_archetype": null,
    "slug": "full-stack-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Node.js",
      "tag": "in_db"
    },
    {
      "skill": "React.js",
      "tag": "in_db"
    },
    {
      "skill": "PostgreSQL",
      "tag": "in_db"
    },
    {
      "skill": "AWS",
      "tag": "in_db"
    },
    {
      "skill": "GitHub",
      "tag": "in_db"
    },
    {
      "skill": "CI/CD",
      "tag": "in_db"
    },
    {
      "skill": "DevOps",
      "tag": "in_db"
    },
    {
      "skill": "Agile",
      "tag": "in_db"
    },
    {
      "skill": "Scrum",
      "tag": "in_db"
    },
    {
      "skill": "Slack",
      "tag": "new"
    },
    {
      "skill": "Notion",
      "tag": "new"
    },
    {
      "skill": "Google Workspace",
      "tag": "new"
    },
    {
      "skill": "Visual Studio",
      "tag": "new"
    },
    {
      "skill": "GitHub Copilot",
      "tag": "new"
    },
    {
      "skill": "Jira",
      "tag": "new"
    },
    {
      "skill": "Unit Testing",
      "tag": "in_db"
    },
    {
      "skill": "Integration Testing",
      "tag": "in_db"
    },
    {
      "skill": "Test-Driven Development",
      "tag": "new"
    },
    {
      "skill": "Big Data",
      "tag": "new"
    },
    {
      "skill": "Workflow Automation",
      "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": "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": "Node.js",
        "llm_role": null,
        "matched_chosen_role": false,
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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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