Pipeline run
f5280d71-2bd0-4f7d-bb86-b5c43358b95a
Pipeline LLM cost (USD)
API 1: $0.0074
API 2: $0.0001
API 3: $0.0000
Total: $0.0075
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionNature of work
· Full Stack Development
Build and customize NetSuite integrations, develop .NET front-end and backend services with REST APIs, and wire in Azure AI/ML features while keeping databases, code quality, and documentation in shape.
"Develop and maintain front-end applications using .NET Framework."
Tech stack maturity
Mainstream Modern
NetSuite development with Azure, REST, and machine-learning integration aligns with a modern enterprise stack that is cloud-connected and API-driven rather than legacy or bleeding-edge AI-native.
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):
—
Frameworks (×2):
—
Models / concepts (×3):
AI, Machine Learning
Evidence — skills matched in JD (5)
NetSuite
.NET Framework
Azure
Machine Learning
REST
Skill cluster (4 dimension groups, role-scoped)
AI Governance and Model Security
Machine Learning
Cloud Provider Platforms
Azure
Integration Protocols & Standards
REST
Cross-cutting / unaligned
NetSuite
.NET Framework
Show KRA description ↓
• NetSuite Customization and Integration:
• Customize and enhance NetSuite applications to meet business requirements.
• Integrate NetSuite with other enterprise systems, ensuring seamless data flow.
• Full Stack Development:
• Develop and maintain front-end applications using .NET Framework.
• Collaborate with UX/UI designers to create a responsive and user-friendly interface.
• Azure AI Integration:
• Architect and implement Azure AI-related services to enhance system capabilities.
• Collaborate with data scientists and AI engineers to integrate machine learning models into the application.
• Backend Development:
• Design and develop scalable and efficient backend solutions.
• Implement RESTful APIs and other communication protocols for data exchange.
• Database Management:
• Manage databases, ensuring optimal performance and data integrity.
• Collaborate with the database team to design and implement efficient data storage solutions.
• Code Reviews and Documentation:
• Conduct code reviews to ensure code quality, maintainability, and adherence to coding standards.
• Document codebase and technical processes for knowledge transfer and future reference.
Signals
Skill
full-stack-engineer
0.40
Alias
full-stack-engineer
1.00
KRA
frontend-engineer
0.57
Post-classification
Centroidupdated · n=2
Alias collision log—
New-role queue—
New skills captured2
New KRA capturedyes
Captured for admin review
NetSuite
primary
↔
NetSuite Developer
pending
.NET Framework
primary
↔
NetSuite Developer
pending
R&R fragment (sim 0.00)
↔
NetSuite Developer
pending
• NetSuite Customization and Integration: • Customize and enhance NetSuite applications to meet business requirements. • Integrate NetSuite with other enterprise systems, ensuring seamless data flow. …
Status:
completed
Created: 2026-05-27T16:01:20.403679Z
Updated: 2026-05-27T16:02:38.098486Z
API 3 duration: 27125 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
NetSuite Developer
domain · ERP — Other Platforms CASE DOMAINslug: netsuite-developer · id: 58 · source: db
Domain=ERP — Other Platforms; The JD centers on NetSuite customization and integration, which directly matches the NetSuite Developer role despite additional full-stack and Azure work.
Matched skills
NetSuite.NET FrameworkAzure AIRESTful APIs
Matched dimensions
NetSuite customization and integrationFull-stack application developmentAzure AI integrationBackend API developmentDatabase managementCode review and documentation
Matched KRAs
Customize and enhance NetSuite applicationsIntegrate NetSuite with other enterprise systemsDevelop and maintain front-end applicationsArchitect and implement Azure AI-related servicesDesign and develop scalable and efficient backend solutionsImplement RESTful APIs and other communication protocolsManage databases, ensuring optimal performance and data integrityConduct code reviews to ensure code qualityDocument codebase and technical processes
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
Greetings from Quantzig!! About Quantzig: It is a global analytics & advisory firm with offices in the US, UK, Canada, China, and India. we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding , Machine Learning and data engineering solutions implementation for prudent decision making. We are a rapidly growing organization that is built and operated by high-performance champions. If you have what it takes to be the champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one we’re looking for. The clients love us for our solutioning capability, our enthusiasm and we expect you to be a part of our growth story. Find out more about the company: https://www.quantzig.com/ Job Description: We are seeking a talented and experienced NetSuite Developer with a Full Stack background, proficient in both front-end and back-end development. The ideal candidate will have expertise in developing front-end applications using .NET Framework and possess a strong foundation in engineering Azure AI-related services on the backend. This role requires a deep understanding of NetSuite customization and integration, as well as the ability to seamlessly integrate AI capabilities into our systems. Responsibilities: • NetSuite Customization and Integration: • Customize and enhance NetSuite applications to meet business requirements. • Integrate NetSuite with other enterprise systems, ensuring seamless data flow. • Full Stack Development: • Develop and maintain front-end applications using .NET Framework. • Collaborate with UX/UI designers to create a responsive and user-friendly interface. • Azure AI Integration: • Architect and implement Azure AI-related services to enhance system capabilities. • Collaborate with data scientists and AI engineers to integrate machine learning models into the application. • Backend Development: • Design and develop scalable and efficient backend solutions. • Implement RESTful APIs and other communication protocols for data exchange. • Database Management: • Manage databases, ensuring optimal performance and data integrity. • Collaborate with the database team to design and implement efficient data storage solutions. • Code Reviews and Documentation: • Conduct code reviews to ensure code quality, maintainability, and adherence to coding standards. • Document codebase and technical processes for knowledge transfer and future reference. Qualifications: • Education and Experience: • Bachelor's degree in Computer Science or a related field. • Proven experience as a NetSuite Developer with a minimum of 4 years of Full Stack development experience. • Technical Skills: • Proficiency in NetSuite customization and integration. • Strong experience in front-end development using .NET Framework. • Expertise in engineering Azure AI-related services. • Development Tools: • Familiarity with version control systems (e.g., Git) and issue tracking tools. • Experience with development and debugging tools in both front-end and back-end environments. • Communication Skills: • Excellent communication and collaboration skills. • Ability to convey technical concepts to both technical and non-technical stakeholders. • Problem-Solving: • Strong analytical and problem-solving skills. • Ability to troubleshoot and resolve complex technical issues. Benefits: • Competitive salary and performance-based incentives. • Health, dental, and vision insurance. • Retirement savings plan. • Opportunities for professional development and training. If you are a dynamic and skilled NetSuite Developer with Full Stack experience and a passion for integrating AI capabilities, we invite you to apply and contribute to the growth and innovation of our organization. Note: Interested candidate's can share their CV's on: varshar@infinitiresearch.com
Skills from this JD
Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.
NetSuite
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
.NET Framework
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
- Frameworks
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Azure
Primary
Library skill
API 3: existing canonical (in_db)
Existing skill (matched library)
Canonical: Azure
id=188
· azure
Aliases — catalog
- Azure (CANONICAL) primary
Context tags (catalog)
AKS
ARM templates
App Service
Azure AD
Azure Active Directory
Azure App Service
Azure Blob
Azure Blob Storage
Azure Cognitive Services
Azure Cosmos DB
Azure DevOps
Azure DevTest Labs
Azure Functions
Azure Kubernetes Service
Azure Logic Apps
Azure Monitor
Azure Networking
Azure Resource Manager
Azure SQL
Azure SQL Database
Azure Security Center
Azure Storage
Azure Storage Explorer
Azure Virtual Machines
Bicep
Blob Storage
Cloud Services
Cosmos DB
Entra ID
Functions
Infrastructure as Code
Key Vault
Log Analytics
Logic Apps
Resource Groups
Serverless Computing
Service Bus
Storage Account
Terraform
Virtual Machines
Stored enrichment (catalog DB)
- Category
- Platform
- Sub-category
- Cloud Platform
- Vendor
- Microsoft
- License
- proprietary
- Year introduced
- 2010
- Confidence
- 0.99
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Azure is broadly adopted and frequently appears in cloud/platform job descriptions alongside AWS and GCP; Microsoft’s ongoing enterprise investment and Azure certification demand signal strong hiring-pipeline relevance.
Skill profile (library / DB)
- Skill nature
- PLATFORM
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 9
- Sub-category id
- 46
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Cloud Platforms Catalog dimension db id 20
Library dimension (catalog)
Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer
-
Cloud Platforms & Managed Services Catalog dimension db id 221
Library dimension (catalog)
Roles linked in library: Fullstack Developer, Go Backend Developer, Node.js Backend Developer
-
Cloud Platforms for AI Deployment Catalog dimension db id 211
Library dimension (catalog)
Roles linked in library: AI Engineer
-
Cloud Provider Platforms Catalog dimension db id 131
Library dimension (catalog)
Roles linked in library: Cloud Architect, Cloud Security Engineer
-
Cloud Security Posture Tools Catalog dimension db id 64
Library dimension (catalog)
Roles linked in library: Cloud Security Engineer, Cyber Security Engineer
-
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 Platforms
cloud-platforms
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Cloud Platforms & Managed Services
cloud-platforms-managed-services
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Cloud Provider Platforms
cloud-provider-platforms
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Cloud Security Posture Tools
cloud-security-posture-tools
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Vendor Product Families
vendor-product-families
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Machine Learning
Primary
Library skill
API 3: existing canonical (in_db)
Existing skill (matched library)
Canonical: Machine Learning
id=1356
· machine-learning
Aliases — catalog
- Machine Learning (CANONICAL)
Context tags (catalog)
Keras
PyTorch
TensorFlow
cross-validation
data preprocessing
ensemble methods
feature engineering
hyperparameter tuning
model evaluation
natural language processing
neural networks
reinforcement learning
scikit-learn
supervised learning
unsupervised learning
Stored enrichment (catalog DB)
- Category
- Concept
- Sub-category
- Machine Learning
- Confidence
- 0.98
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Machine Learning appears in large volumes of job descriptions across data, product, and platform roles, and major cloud vendors (AWS, Google Cloud, Azure) offer dedicated ML services and certifications, indicating broad adoption.
Skill profile (library / DB)
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 2
- Sub-category id
- 1024
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
AI Governance and Model Security Catalog dimension db id 50
Library dimension (catalog)
Roles linked in library: AI Engineer, ML Engineer, MLOps Engineer
-
React Frontend Development Catalog dimension db id 96
Library dimension (catalog)
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
AI Governance and Model Security
ai-governance-and-model-security
|
✓ | — | 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) |
REST
Primary
Library skill
API 3: existing canonical (in_db)
Existing skill (matched library)
Canonical: REST
id=11
· rest
Aliases — catalog
- REST (CANONICAL) primary
Context tags (catalog)
API
API design
API versioning
CRUD
DELETE
GET
HATEOAS
HTTP
JSON
OAuth
OAuth2
OpenAPI
POST
PUT
Postman
RESTful
Swagger
URI
Webhooks
XML
authentication
client-server
content negotiation
endpoint
endpoints
middleware
resource
resource-oriented
serialization
stateless
status codes
versioning
web services
Stored enrichment (catalog DB)
- Category
- Concept
- Sub-category
- Api Architecture Style
- Year introduced
- 2000
- Confidence
- 0.88
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: REST is a default API architecture in many job descriptions and is widely supported by major vendors/frameworks; OpenAPI and RESTful endpoints remain standard in hiring pipelines.
Skill profile (library / DB)
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 2
- Sub-category id
- 2122
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
API Design and Contracts Catalog dimension db id 3
Library dimension (catalog)
Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer
-
API Interface and Contract Design Catalog dimension db id 289
Library dimension (catalog)
Roles linked in library: .NET Backend Developer, Go Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer
-
Integration Protocols & Standards Catalog dimension db id 271
Library dimension (catalog)
Roles linked in library: Pega Developer
-
Standards, Protocols & Compliance Catalog dimension db id 452
Library dimension (catalog)
Roles linked in library: Engineering Manager, Sitecore Dev
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
API Design and Contracts
api-design-and-contracts
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
API Interface and Contract Design
api-interface-and-contract-design
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Integration Protocols & Standards
integration-protocols-standards
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Standards, Protocols & Compliance
standards-protocols-compliance
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
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 |
|---|---|---|---|---|---|---|
| Azure | in_db |
Cloud Platforms
cloud-platforms
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Azure | in_db |
Cloud Platforms & Managed Services
cloud-platforms-managed-services
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Azure | in_db |
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Azure | in_db |
Cloud Provider Platforms
cloud-provider-platforms
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Azure | in_db |
Cloud Security Posture Tools
cloud-security-posture-tools
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Azure | in_db |
Vendor Product Families
vendor-product-families
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Machine Learning | in_db |
AI Governance and Model Security
ai-governance-and-model-security
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Machine Learning | in_db |
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| REST | in_db |
API Design and Contracts
api-design-and-contracts
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| REST | in_db |
API Interface and Contract Design
api-interface-and-contract-design
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| REST | in_db |
Integration Protocols & Standards
integration-protocols-standards
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| REST | in_db |
Standards, Protocols & Compliance
standards-protocols-compliance
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Library artifacts (this run)
| Kind | Detail | DB id |
|---|---|---|
| canonical_skill_proposed | NetSuite | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR | |
| canonical_skill_proposed | .NET Framework | type=Frameworks subtype=general nature=TOOL lifespan=MULTI_YEAR |
nano JD Parser — gpt-4.1-nano click to toggle
RoleNetSuite Developer
CompanyQuantzig
Experienceminimum of 4 years of Full Stack development experience
DomainIT Services & Consulting
JD type
pass
Show raw JSON
{
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "About Quantzig: It is a",
"last_5_words": "part of our growth story."
},
"text": "About Quantzig: It is a global analytics \u0026 advisory firm with offices in the US, UK, Canada, China, and India. we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding , Machine Learning and data engineering solutions implementation for prudent decision making. We are a rapidly growing organization that is built and operated by high-performance champions. If you have what it takes to be the champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one we\u2019re looking for. The clients love us for our solutioning capability, our enthusiasm and we expect you to be a part of our growth story.",
"word_count": 100
},
"certifications": [],
"company_name": "Quantzig",
"ctc": null,
"domain": {
"primary": {
"aliases": [
"ITES",
"Tech Consulting"
],
"domain": "IT Services \u0026 Consulting"
},
"secondary": null
},
"education": [
{
"level": "Bachelor\u0027s",
"qualification": "BTECH/BE/BSC - Computer Science (or related)",
"raw": "Bachelor\u0027s degree in Computer Science or a related field.",
"requirement": "required"
}
],
"experience": {
"max": null,
"min": 4,
"raw": "minimum of 4 years of Full Stack development experience"
},
"job_locations": [],
"role": "NetSuite Developer",
"role_aliases": [
"Full Stack Developer",
"NetSuite Engineer",
"Software Developer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 12,
"heading": "Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 NetSuite Customization and Integration:",
"last_5_words": "knowledge transfer and future reference."
},
"text": "\u2022 NetSuite Customization and Integration:\n\u2022 Customize and enhance NetSuite applications to meet business requirements.\n\u2022 Integrate NetSuite with other enterprise systems, ensuring seamless data flow.\n\u2022 Full Stack Development:\n\u2022 Develop and maintain front-end applications using .NET Framework.\n\u2022 Collaborate with UX/UI designers to create a responsive and user-friendly interface.\n\u2022 Azure AI Integration:\n\u2022 Architect and implement Azure AI-related services to enhance system capabilities.\n\u2022 Collaborate with data scientists and AI engineers to integrate machine learning models into the application.\n\u2022 Backend Development:\n\u2022 Design and develop scalable and efficient backend solutions.\n\u2022 Implement RESTful APIs and other communication protocols for data exchange.\n\u2022 Database Management:\n\u2022 Manage databases, ensuring optimal performance and data integrity.\n\u2022 Collaborate with the database team to design and implement efficient data storage solutions.\n\u2022 Code Reviews and Documentation:\n\u2022 Conduct code reviews to ensure code quality, maintainability, and adherence to coding standards.\n\u2022 Document codebase and technical processes for knowledge transfer and future reference.",
"word_count": 233
}
],
"urls": [
{
"type": "website",
"url": "https://www.quantzig.com/"
}
]
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "NetSuite"
},
{
"is_primary": true,
"skill_name": ".NET Framework"
},
{
"is_primary": true,
"skill_name": "Azure"
},
{
"is_primary": true,
"skill_name": "Machine Learning"
},
{
"is_primary": true,
"skill_name": "REST"
}
],
"jd_role": {
"display_name": "NetSuite Developer",
"rationale": null,
"role_aliases": [
"Full Stack Developer",
"NetSuite Engineer",
"Software Developer"
],
"role_archetype": "Engineering",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "About Quantzig: It is a",
"last_5_words": "part of our growth story."
},
"text": "About Quantzig: It is a global analytics \u0026 advisory firm with offices in the US, UK, Canada, China, and India. we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding , Machine Learning and data engineering solutions implementation for prudent decision making. We are a rapidly growing organization that is built and operated by high-performance champions. If you have what it takes to be the champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one we\u2019re looking for. The clients love us for our solutioning capability, our enthusiasm and we expect you to be a part of our growth story.",
"word_count": 100
},
"certifications": [],
"company_name": "Quantzig",
"ctc": null,
"domain": {
"primary": {
"aliases": [
"ITES",
"Tech Consulting"
],
"domain": "IT Services \u0026 Consulting"
},
"secondary": null
},
"education": [
{
"level": "Bachelor\u0027s",
"qualification": "BTECH/BE/BSC - Computer Science (or related)",
"raw": "Bachelor\u0027s degree in Computer Science or a related field.",
"requirement": "required"
}
],
"experience": {
"max": null,
"min": 4,
"raw": "minimum of 4 years of Full Stack development experience"
},
"job_locations": [],
"role": "NetSuite Developer",
"role_aliases": [
"Full Stack Developer",
"NetSuite Engineer",
"Software Developer"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 12,
"heading": "Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 NetSuite Customization and Integration:",
"last_5_words": "knowledge transfer and future reference."
},
"text": "\u2022 NetSuite Customization and Integration:\n\u2022 Customize and enhance NetSuite applications to meet business requirements.\n\u2022 Integrate NetSuite with other enterprise systems, ensuring seamless data flow.\n\u2022 Full Stack Development:\n\u2022 Develop and maintain front-end applications using .NET Framework.\n\u2022 Collaborate with UX/UI designers to create a responsive and user-friendly interface.\n\u2022 Azure AI Integration:\n\u2022 Architect and implement Azure AI-related services to enhance system capabilities.\n\u2022 Collaborate with data scientists and AI engineers to integrate machine learning models into the application.\n\u2022 Backend Development:\n\u2022 Design and develop scalable and efficient backend solutions.\n\u2022 Implement RESTful APIs and other communication protocols for data exchange.\n\u2022 Database Management:\n\u2022 Manage databases, ensuring optimal performance and data integrity.\n\u2022 Collaborate with the database team to design and implement efficient data storage solutions.\n\u2022 Code Reviews and Documentation:\n\u2022 Conduct code reviews to ensure code quality, maintainability, and adherence to coding standards.\n\u2022 Document codebase and technical processes for knowledge transfer and future reference.",
"word_count": 233
}
],
"urls": [
{
"type": "website",
"url": "https://www.quantzig.com/"
}
]
},
"rejected": false,
"rejection_reason": null,
"run_id": "f5280d71-2bd0-4f7d-bb86-b5c43358b95a",
"stage3_signals": {
"alias_found": true,
"alias_match_roles": [
{
"display_name": "Fullstack Developer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 15,
"score": 1.0,
"slug": "full-stack-engineer",
"total_count": null
},
{
"display_name": "NetSuite Developer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 58,
"score": 1.0,
"slug": "netsuite-developer",
"total_count": null
}
],
"kra_match_roles": [
{
"display_name": "Frontend Developer",
"kra_matches": [
{
"kra_text": "Collaborates with UX designers to refine interaction details, animations, responsive breakpoints, and micro-interaction behavior.",
"sentence": "Collaborate with UX/UI designers to create a responsive and user-friendly interface.",
"similarity": 0.7379
},
{
"kra_text": "Builds responsive user interfaces and interactive web components using React, Vue, or Angular with TypeScript, HTML5, and modern CSS for browser-based applications.",
"sentence": "Develop and maintain front-end applications using .NET Framework.",
"similarity": 0.5317
},
{
"kra_text": "Integrates frontend views with RESTful or GraphQL backend APIs, handling async data fetching, loading states, error boundaries, and cache invalidation.",
"sentence": "Design and develop scalable and efficient backend solutions.",
"similarity": 0.4474
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 7,
"score": 0.5724,
"slug": "frontend-engineer",
"total_count": null
},
{
"display_name": "React Native Developer",
"kra_matches": [
{
"kra_text": "maintain code quality",
"sentence": "Conduct code reviews to ensure code quality, maintainability, and adherence to coding standards.",
"similarity": 0.7333
},
{
"kra_text": "integrate backend APIs",
"sentence": "Design and develop scalable and efficient backend solutions.",
"similarity": 0.5281
},
{
"kra_text": "integrate backend APIs",
"sentence": "Implement RESTful APIs and other communication protocols for data exchange.",
"similarity": 0.4496
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 73,
"score": 0.5704,
"slug": "react-native-developer",
"total_count": null
},
{
"display_name": "Angular Frontend Developer",
"kra_matches": [
{
"kra_text": "code review and refactoring",
"sentence": "Conduct code reviews to ensure code quality, maintainability, and adherence to coding standards.",
"similarity": 0.6177
},
{
"kra_text": "collaboration with design and QA",
"sentence": "Collaborate with UX/UI designers to create a responsive and user-friendly interface.",
"similarity": 0.5871
},
{
"kra_text": "code review and refactoring",
"sentence": "Document codebase and technical processes for knowledge transfer and future reference.",
"similarity": 0.4962
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 90,
"score": 0.567,
"slug": "angular-frontend-developer",
"total_count": null
},
{
"display_name": "Flutter Developer",
"kra_matches": [
{
"kra_text": "collaborate with design, product, and backend teams",
"sentence": "Collaborate with UX/UI designers to create a responsive and user-friendly interface.",
"similarity": 0.5946
},
{
"kra_text": "collaborate with design, product, and backend teams",
"sentence": "Design and develop scalable and efficient backend solutions.",
"similarity": 0.5632
},
{
"kra_text": "collaborate with design, product, and backend teams",
"sentence": "Collaborate with the database team to design and implement efficient data storage solutions.",
"similarity": 0.5403
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 74,
"score": 0.5661,
"slug": "flutter-developer",
"total_count": null
},
{
"display_name": "Backend Developer",
"kra_matches": [
{
"kra_text": "Identifies and resolves backend performance bottlenecks through query optimization, indexing strategies, connection pooling, and distributed caching with Redis.",
"sentence": "Design and develop scalable and efficient backend solutions.",
"similarity": 0.6043
},
{
"kra_text": "Designs and maintains RESTful and GraphQL API interfaces with proper authentication, versioning, rate limiting, and documentation for frontend and third-party consumers.",
"sentence": "Implement RESTful APIs and other communication protocols for data exchange.",
"similarity": 0.5611
},
{
"kra_text": "Identifies and resolves backend performance bottlenecks through query optimization, indexing strategies, connection pooling, and distributed caching with Redis.",
"sentence": "Collaborate with the database team to design and implement efficient data storage solutions.",
"similarity": 0.53
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 1,
"score": 0.5651,
"slug": "backend-engineer",
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}
],
"skill_match_roles": [
{
"display_name": "Fullstack Developer",
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"matched_count": 2,
"matched_skills": [
"Azure",
"REST"
],
"role_id": 15,
"score": 0.4,
"slug": "full-stack-engineer",
"total_count": 5
},
{
"display_name": "ML Engineer",
"kra_matches": null,
"matched_count": 2,
"matched_skills": [
"Azure",
"Machine Learning"
],
"role_id": 3,
"score": 0.4,
"slug": "ml-engineer",
"total_count": 5
},
{
"display_name": "Backend Developer",
"kra_matches": null,
"matched_count": 2,
"matched_skills": [
"Azure",
"REST"
],
"role_id": 1,
"score": 0.4,
"slug": "backend-engineer",
"total_count": 5
},
{
"display_name": "AI Engineer",
"kra_matches": null,
"matched_count": 2,
"matched_skills": [
"Azure",
"Machine Learning"
],
"role_id": 13,
"score": 0.4,
"slug": "ai-engineer",
"total_count": 5
},
{
"display_name": "MLOps Engineer",
"kra_matches": null,
"matched_count": 2,
"matched_skills": [
"Azure",
"Machine Learning"
],
"role_id": 16,
"score": 0.4,
"slug": "ml-ops-engineer",
"total_count": 5
}
]
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "DOMAIN",
"chosen_role": {
"display_name": "NetSuite Developer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 58,
"score": 0.98,
"slug": "netsuite-developer",
"total_count": null
},
"confidence": 0.98,
"is_new_role": false,
"llm2_fired": false,
"llm2_reasoning": null,
"matched_dimensions": [
"NetSuite customization and integration",
"Full-stack application development",
"Azure AI integration",
"Backend API development",
"Database management",
"Code review and documentation"
],
"matched_kras": [
"Customize and enhance NetSuite applications",
"Integrate NetSuite with other enterprise systems",
"Develop and maintain front-end applications",
"Architect and implement Azure AI-related services",
"Design and develop scalable and efficient backend solutions",
"Implement RESTful APIs and other communication protocols",
"Manage databases, ensuring optimal performance and data integrity",
"Conduct code reviews to ensure code quality",
"Document codebase and technical processes"
],
"matched_skills": [
"NetSuite",
".NET Framework",
"Azure AI",
"RESTful APIs"
],
"new_role_display_name": null,
"new_role_slug": null,
"queued": false,
"reasoning": "Domain=ERP \u2014 Other Platforms; The JD centers on NetSuite customization and integration, which directly matches the NetSuite Developer role despite additional full-stack and Azure work.",
"sub_role": null
},
"stage5_updates": {
"centroid_n_after": 2,
"centroid_updated": true,
"collision_log_id": null,
"new_kra_attached": {
"best_kra_similarity": 0.0,
"queue_id": 1297,
"r_and_r_preview": "\u2022 NetSuite Customization and Integration:\n\u2022 Customize and enhance NetSuite applications to meet business requirements.\n\u2022 Integrate NetSuite with other enterprise systems, ensuring seamless data flow.\n",
"role_display_name": "NetSuite Developer",
"role_slug": "netsuite-developer",
"status": "pending"
},
"new_skills_attached": [
{
"is_primary": true,
"queue_id": 17822,
"role_display_name": "NetSuite Developer",
"role_slug": "netsuite-developer",
"skill_name": "NetSuite",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 17823,
"role_display_name": "NetSuite Developer",
"role_slug": "netsuite-developer",
"skill_name": ".NET Framework",
"status": "pending"
}
],
"queue_entry_id": null,
"v3_pipeline_triggered": false,
"v3_role_slug": null,
"v3_run_id": null
}
}
API 2 — extract-details
{
"alias_matches": [
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 407,
"existing_alias_text": "Azure",
"input_term": "Azure",
"matched_canonical": {
"category_id": 9,
"display_name": "Azure",
"id": 188,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "PLATFORM",
"slug": "azure",
"sub_category_id": 46,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 2015,
"existing_alias_text": "Machine Learning",
"input_term": "Machine Learning",
"matched_canonical": {
"category_id": 2,
"display_name": "Machine Learning",
"id": 1356,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "machine-learning",
"sub_category_id": 1024,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 106,
"existing_alias_text": "REST",
"input_term": "REST",
"matched_canonical": {
"category_id": 2,
"display_name": "REST",
"id": 11,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "rest",
"sub_category_id": 2122,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
}
],
"candidate_roles": [
{
"display_name": ".NET Backend Developer",
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"rationale": null,
"role_archetype": "Engineering",
"slug": "dotnet-backend-developer",
"source": "db"
},
{
"display_name": "Backend Developer",
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"rationale": null,
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"slug": "backend-engineer",
"source": "db"
},
{
"display_name": "Cyber Security Engineer",
"id": 5,
"rationale": null,
"role_archetype": null,
"slug": "cybersecurity-engineer",
"source": "db"
},
{
"display_name": "Data Engineer",
"id": 2,
"rationale": null,
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
},
{
"display_name": "DevOps Engineer",
"id": 10,
"rationale": null,
"role_archetype": null,
"slug": "devops-engineer",
"source": "db"
},
{
"display_name": "Fullstack Developer",
"id": 15,
"rationale": null,
"role_archetype": null,
"slug": "full-stack-engineer",
"source": "db"
},
{
"display_name": "Go Backend Developer",
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"rationale": null,
"role_archetype": "Engineering",
"slug": "go-backend-developer",
"source": "db"
},
{
"display_name": "Java Backend Developer",
"id": 79,
"rationale": null,
"role_archetype": "Engineering",
"slug": "java-backend-developer",
"source": "db"
},
{
"display_name": "Kotlin Backend Developer",
"id": 84,
"rationale": null,
"role_archetype": "Engineering",
"slug": "kotlin-server-backend-developer",
"source": "db"
},
{
"display_name": "ML Engineer",
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"role_archetype": null,
"slug": "ml-engineer",
"source": "db"
},
{
"display_name": "MLOps Engineer",
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"role_archetype": null,
"slug": "ml-ops-engineer",
"source": "db"
},
{
"display_name": "Node.js Backend Developer",
"id": 82,
"rationale": null,
"role_archetype": "Engineering",
"slug": "node-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"
},
{
"display_name": "AI Engineer",
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"slug": "ai-engineer",
"source": "db"
},
{
"display_name": "Cloud Architect",
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"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"
},
{
"display_name": "Engineering Manager",
"id": 121,
"rationale": null,
"role_archetype": null,
"slug": "engineering-manager",
"source": "db"
},
{
"display_name": "Fullstack Developer",
"id": 435,
"rationale": null,
"role_archetype": "Engineering",
"slug": "fullstack-developer",
"source": "db"
},
{
"display_name": "PHP Backend Developer",
"id": 86,
"rationale": null,
"role_archetype": "Engineering",
"slug": "php-backend-developer",
"source": "db"
},
{
"display_name": "Ruby Backend Developer",
"id": 85,
"rationale": null,
"role_archetype": "Engineering",
"slug": "ruby-backend-developer",
"source": "db"
},
{
"display_name": "Pega Developer",
"id": 24,
"rationale": null,
"role_archetype": null,
"slug": "pega-developer",
"source": "db"
},
{
"display_name": "Sitecore Dev",
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"rationale": null,
"role_archetype": "Engineering",
"slug": "sitecore-dev",
"source": "db"
}
],
"chosen_role": {
"display_name": "NetSuite Developer",
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"rationale": "Domain=ERP \u2014 Other Platforms; The JD centers on NetSuite customization and integration, which directly matches the NetSuite Developer role despite additional full-stack and Azure work.",
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"slug": "netsuite-developer",
"source": "db"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Platforms",
"id": 20,
"rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
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"source": "db"
},
"input_skill": "Azure",
"llm_role": null,
"roles_from_db": [
{
"display_name": ".NET Backend Developer",
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"rationale": null,
"role_archetype": "Engineering",
"slug": "dotnet-backend-developer",
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},
{
"display_name": "Backend Developer",
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"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.",
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"source": "db"
},
{
"display_name": "Cyber Security Engineer",
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"slug": "cybersecurity-engineer",
"source": "db"
},
{
"display_name": "Data Engineer",
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"slug": "data-engineer",
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},
{
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},
{
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},
{
"display_name": "Go Backend Developer",
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"role_archetype": "Engineering",
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"source": "db"
},
{
"display_name": "Java Backend Developer",
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"rationale": null,
"role_archetype": "Engineering",
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"source": "db"
},
{
"display_name": "Kotlin Backend Developer",
"id": 84,
"rationale": null,
"role_archetype": "Engineering",
"slug": "kotlin-server-backend-developer",
"source": "db"
},
{
"display_name": "ML Engineer",
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"slug": "ml-engineer",
"source": "db"
},
{
"display_name": "MLOps Engineer",
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"slug": "ml-ops-engineer",
"source": "db"
},
{
"display_name": "Node.js Backend Developer",
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"rationale": null,
"role_archetype": "Engineering",
"slug": "node-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",
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"rationale": null,
"role_archetype": "Engineering",
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"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Platforms \u0026 Managed Services",
"id": 221,
"rationale": "Operates and integrates vendor-specific cloud compute, storage, and hosting services.",
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"source": "db"
},
"input_skill": "Azure",
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"roles_from_db": [
{
"display_name": "Fullstack Developer",
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},
{
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},
{
"display_name": "Node.js Backend Developer",
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"role_archetype": "Engineering",
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}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Platforms for AI Deployment",
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},
"input_skill": "Azure",
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"roles_from_db": [
{
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]
},
{
"dimension": {
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"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.",
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"source": "db"
},
"input_skill": "Azure",
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"roles_from_db": [
{
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"role_archetype": null,
"slug": "cloud-architect",
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},
{
"display_name": "Cloud Security Engineer",
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"slug": "cloud-security-engineer",
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}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Security Posture Tools",
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"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"
},
"input_skill": "Azure",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Cloud Security Engineer",
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"slug": "cloud-security-engineer",
"source": "db"
},
{
"display_name": "Cyber Security Engineer",
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"slug": "cybersecurity-engineer",
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}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Vendor Product Families",
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"rationale": "Coordinate usage, licensing, and architecture decisions for major vendor software and cloud product families.",
"slug": "vendor-product-families",
"source": "db"
},
"input_skill": "Azure",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Engineering Manager",
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]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "AI Governance and Model Security",
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"rationale": "Controls and documentation used to make models safer, auditable, and compliant. ML engineers use this to manage model risk, supply chain integrity, and governance requirements.",
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},
"input_skill": "Machine Learning",
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"roles_from_db": [
{
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},
{
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{
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]
},
{
"dimension": {
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"source": "db"
},
"input_skill": "Machine Learning",
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"roles_from_db": []
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "API Design and Contracts",
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"rationale": "Designing request/response shapes and the rules that govern client-server interaction. This cluster is coherent because full stack engineers often own the contract between UI behavior and backend implementation.",
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"source": "db"
},
"input_skill": "REST",
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"roles_from_db": [
{
"display_name": "Backend Developer",
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},
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}
]
},
{
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},
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},
{
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},
{
"display_name": "PHP Backend Developer",
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},
{
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"slug": "python-backend-developer",
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},
{
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},
{
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}
]
},
{
"dimension": {
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"slug": "integration-protocols-standards",
"source": "db"
},
"input_skill": "REST",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Pega Developer",
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"role_archetype": null,
"slug": "pega-developer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Standards, Protocols \u0026 Compliance",
"id": 452,
"rationale": "Ensure teams adhere to industry standards, security protocols, and regulatory compliance requirements.",
"slug": "standards-protocols-compliance",
"source": "db"
},
"input_skill": "REST",
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{
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"slug": "engineering-manager",
"source": "db"
},
{
"display_name": "Sitecore Dev",
"id": 233,
"rationale": null,
"role_archetype": "Engineering",
"slug": "sitecore-dev",
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}
]
}
],
"input_final_skills": [
"NetSuite",
".NET Framework",
"Azure",
"Machine Learning",
"REST"
],
"input_llm_skills": [
"NetSuite",
".NET Framework",
"Azure",
"Machine Learning",
"REST"
],
"new_aliases_persisted": 0,
"run_id": "f5280d71-2bd0-4f7d-bb86-b5c43358b95a",
"skills_detail": [
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "NetSuite",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
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},
"enrichment": null,
"keep_log": [],
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"merge_log": [],
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},
"source_tag": "llm",
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},
{
"aliases_in_db": [],
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"new_alias_text": null,
"new_skill_meta": {
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"placed": null,
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"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "Azure",
"alias_type": "CANONICAL",
"id": 407,
"is_primary": true,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 9,
"display_name": "Azure",
"id": 188,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "PLATFORM",
"slug": "azure",
"sub_category_id": 46,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Platforms",
"id": 20,
"rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
"slug": "cloud-platforms",
"source": "db"
},
"input_skill": "Azure",
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"roles_from_db": [
{
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"role_archetype": "Engineering",
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},
{
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"source": "db"
},
{
"display_name": "Cyber Security Engineer",
"id": 5,
"rationale": null,
"role_archetype": null,
"slug": "cybersecurity-engineer",
"source": "db"
},
{
"display_name": "Data Engineer",
"id": 2,
"rationale": null,
"role_archetype": null,
"slug": "data-engineer",
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},
{
"display_name": "DevOps Engineer",
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},
{
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"slug": "full-stack-engineer",
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},
{
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},
{
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"rationale": null,
"role_archetype": "Engineering",
"slug": "java-backend-developer",
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},
{
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"id": 84,
"rationale": null,
"role_archetype": "Engineering",
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},
{
"display_name": "ML Engineer",
"id": 3,
"rationale": null,
"role_archetype": null,
"slug": "ml-engineer",
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},
{
"display_name": "MLOps Engineer",
"id": 16,
"rationale": null,
"role_archetype": null,
"slug": "ml-ops-engineer",
"source": "db"
},
{
"display_name": "Node.js Backend Developer",
"id": 82,
"rationale": null,
"role_archetype": "Engineering",
"slug": "node-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"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Platforms \u0026 Managed Services",
"id": 221,
"rationale": "Operates and integrates vendor-specific cloud compute, storage, and hosting services.",
"slug": "cloud-platforms-managed-services",
"source": "db"
},
"input_skill": "Azure",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Fullstack Developer",
"id": 15,
"rationale": null,
"role_archetype": null,
"slug": "full-stack-engineer",
"source": "db"
},
{
"display_name": "Go Backend Developer",
"id": 81,
"rationale": null,
"role_archetype": "Engineering",
"slug": "go-backend-developer",
"source": "db"
},
{
"display_name": "Node.js Backend Developer",
"id": 82,
"rationale": null,
"role_archetype": "Engineering",
"slug": "node-backend-developer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Platforms for AI Deployment",
"id": 211,
"rationale": "Major cloud services that provide infrastructure and managed services for AI workloads.",
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"source": "db"
},
"input_skill": "Azure",
"llm_role": null,
"roles_from_db": [
{
"display_name": "AI Engineer",
"id": 13,
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"role_archetype": null,
"slug": "ai-engineer",
"source": "db"
}
]
},
{
"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"
},
"input_skill": "Azure",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Cloud Architect",
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"rationale": null,
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"slug": "cloud-architect",
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},
{
"display_name": "Cloud Security Engineer",
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"rationale": null,
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"slug": "cloud-security-engineer",
"source": "db"
}
]
},
{
"dimension": {
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"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"
},
"input_skill": "Azure",
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"roles_from_db": [
{
"display_name": "Cloud Security Engineer",
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"rationale": null,
"role_archetype": null,
"slug": "cloud-security-engineer",
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},
{
"display_name": "Cyber Security Engineer",
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"rationale": null,
"role_archetype": null,
"slug": "cybersecurity-engineer",
"source": "db"
}
]
},
{
"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"
},
"input_skill": "Azure",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Engineering Manager",
"id": 121,
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"role_archetype": null,
"slug": "engineering-manager",
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}
]
}
],
"input_skill": "Azure",
"matched_via": "alias",
"new_alias_persisted": false,
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},
{
"aliases_in_db": [
{
"alias_text": "Machine Learning",
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"id": 2015,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 2,
"display_name": "Machine Learning",
"id": 1356,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "machine-learning",
"sub_category_id": 1024,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "AI Governance and Model Security",
"id": 50,
"rationale": "Controls and documentation used to make models safer, auditable, and compliant. ML engineers use this to manage model risk, supply chain integrity, and governance requirements.",
"slug": "ai-governance-and-model-security",
"source": "db"
},
"input_skill": "Machine Learning",
"llm_role": null,
"roles_from_db": [
{
"display_name": "AI Engineer",
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"slug": "ai-engineer",
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},
{
"display_name": "ML Engineer",
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"role_archetype": null,
"slug": "ml-engineer",
"source": "db"
},
{
"display_name": "MLOps Engineer",
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"role_archetype": null,
"slug": "ml-ops-engineer",
"source": "db"
}
]
},
{
"dimension": {
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"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": "Machine Learning",
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}
],
"input_skill": "Machine Learning",
"matched_via": "alias",
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"new_skill_meta": null,
"source_tag": "db",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "REST",
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"id": 106,
"is_primary": true,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
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"sub_category_id": 2122,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "API Design and Contracts",
"id": 3,
"rationale": "Designing request/response shapes and the rules that govern client-server interaction. This cluster is coherent because full stack engineers often own the contract between UI behavior and backend implementation.",
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},
"input_skill": "REST",
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{
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},
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"role_archetype": "Engineering",
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},
{
"display_name": "Fullstack Developer",
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"role_archetype": null,
"slug": "full-stack-engineer",
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}
]
},
{
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"rationale": "Designing backend service interfaces and contracts that other systems consume, including endpoint and operation shape, request/response payloads, schema and validation, pagination, filtering, idempotency, versioning, status codes, and backward compatibility across REST, GraphQL, gRPC, and OpenAPI-based APIs.",
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},
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},
{
"display_name": "Go Backend Developer",
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"rationale": null,
"role_archetype": "Engineering",
"slug": "go-backend-developer",
"source": "db"
},
{
"display_name": "Kotlin Backend Developer",
"id": 84,
"rationale": null,
"role_archetype": "Engineering",
"slug": "kotlin-server-backend-developer",
"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": "Ruby Backend Developer",
"id": 85,
"rationale": null,
"role_archetype": "Engineering",
"slug": "ruby-backend-developer",
"source": "db"
},
{
"display_name": "Scala Backend Developer",
"id": 87,
"rationale": null,
"role_archetype": "Engineering",
"slug": "scala-backend-developer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Integration Protocols \u0026 Standards",
"id": 271,
"rationale": "Standards and protocols for integrating Pega applications.",
"slug": "integration-protocols-standards",
"source": "db"
},
"input_skill": "REST",
"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": "Standards, Protocols \u0026 Compliance",
"id": 452,
"rationale": "Ensure teams adhere to industry standards, security protocols, and regulatory compliance requirements.",
"slug": "standards-protocols-compliance",
"source": "db"
},
"input_skill": "REST",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Engineering Manager",
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"role_archetype": null,
"slug": "engineering-manager",
"source": "db"
},
{
"display_name": "Sitecore Dev",
"id": 233,
"rationale": null,
"role_archetype": "Engineering",
"slug": "sitecore-dev",
"source": "db"
}
]
}
],
"input_skill": "REST",
"matched_via": "alias",
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": null,
"source_tag": "db",
"was_in_llm_skills": true
}
],
"unmatched_skills": [
"NetSuite",
".NET Framework"
]
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "NetSuite Developer",
"id": 58,
"rationale": "Domain=ERP \u2014 Other Platforms; The JD centers on NetSuite customization and integration, which directly matches the NetSuite Developer role despite additional full-stack and Azure work.",
"role_archetype": null,
"slug": "netsuite-developer",
"source": "db"
},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
"skill": "NetSuite",
"tag": "new"
},
{
"skill": ".NET Framework",
"tag": "new"
},
{
"skill": "Azure",
"tag": "in_db"
},
{
"skill": "Machine Learning",
"tag": "in_db"
},
{
"skill": "REST",
"tag": "in_db"
}
],
"llm_cost_api1_usd": null,
"llm_cost_api2_usd": null,
"llm_cost_api3_usd": null,
"llm_cost_total_usd": null,
"persistence": {
"items": [
{
"chosen_role_id": 58,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Platforms",
"id": 20,
"rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
"slug": "cloud-platforms",
"source": "db"
},
"dimension_id": 20,
"input_skill": "Azure",
"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": ".NET Backend Developer",
"id": 83,
"rationale": null,
"role_archetype": "Engineering",
"slug": "dotnet-backend-developer",
"source": "db"
},
{
"display_name": "Backend Developer",
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