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Pipeline run

4cd2a88c-912f-4ff2-85a0-3f59d80984ed

Pipeline LLM cost (USD)
API 1: $0.0091 API 2: $0.0003 API 3: $0.0000 Total: $0.0094

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
role baseline loaded sources · ai_index: jd · nature_of_work: jd · tech_stack_maturity: jd
Nature of work · End-to-end feature delivery
Ships Angular/React product features end-to-end while tuning MySQL/MongoDB/DynamoDB/Elasticsearch, building on AWS, and improving code quality, architecture, and deployment cycles. Also coordinates milestones, explains technical decisions, and helps shape team practices.
"Manage product milestones, deployment cycles & overall product roadmap"
Tech stack maturity
Mainstream Modern
The skill set centers on widely used contemporary web and cloud technologies like Angular, React, AWS, Elasticsearch, MongoDB, and MySQL, which aligns with mainstream modern development rather than bleeding-edge or legacy stacks.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3):
Evidence — skills matched in JD (22)
Angular React MySQL MongoDB DynamoDB Elasticsearch ElastiCache AWS Git Web Services Algorithms Data Structures Multi-process Architecture Design Patterns Scalable Application Design Code Quality Standards Performance Tuning Database Query Optimization Server Optimization Full-stack Networking Scalable Web Back-end
Skill cluster (5 dimension groups, role-scoped)
UI Frameworks and Rendering
Angular React
Cloud Platforms
AWS
Relational Data Modeling
MySQL
Search and Content Discovery
Elasticsearch
Cross-cutting / unaligned
MongoDB DynamoDB ElastiCache Git Web Services Algorithms Data Structures Multi-process Architecture Design Patterns Scalable Application Design Code Quality Standards Performance Tuning Database Query Optimization Server Optimization Full-stack Networking Scalable Web Back-end
Show KRA description ↓
.Manage product milestones, deployment cycles & overall product roadmap •Develop optimized products in Angular, React JS and multi-process architecture •Sound knowledge of Relational Databases like MySQL and NoSQL databases like MongoDB, DynamoDB, •Elastic Search, Elastic Cache. •Performance Tuning, designing and developing optimized databases and queries •Build applications on cloud technologies like AWS. •Maintain Code Quality, Implement Standards & improve overall understanding •Familiar with various design and architectural patterns •JAI Understanding of fundamental design principles behind a scalable application •Experienced in Angular, React JS, web services, etc. •Computer Science fundamentals like algorithms, data structures, etc. are must. •Understanding of server optimization techniques/tools •Ability to communicate complex technical concepts to both technical and non-technical audience •At least 1-3 years of experience in consumer product engineering and architecture, with a proven track record of architect impactful products in the internal CRM and consumer domain. •Proficient understanding of code versioning tools, such as Git •Exceptional leadership skills and proven experience in shaping team culture •Strong grasp of full-stack networking, scalable web back-end, and all genres of platforms •Multitasking & problem solving approach

Signals

Skill full-stack-engineer
0.31
Alias
KRA go-backend-developer
0.61

Post-classification

Centroidupdated · n=463
Alias collision log
New-role queue
New skills captured11
New KRA captured

Captured for admin review

DynamoDB primary Fullstack Developer pending
ElastiCache primary Fullstack Developer pending
Web Services primary Fullstack Developer pending
Multi-process Architecture primary Fullstack Developer pending
Scalable Application Design Fullstack Developer pending
Standards Fullstack Developer pending
Performance Tuning Fullstack Developer pending
Database Query Optimization Fullstack Developer pending
Server Optimization Fullstack Developer pending
Full-stack Networking Fullstack Developer pending
Scalable Web Back-end Fullstack Developer pending
Status: completed Created: 2026-05-27T15:29:01.321603Z Updated: 2026-06-12T16:22:39.640075Z API 3 duration: 49719 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

Fullstack Developer

domain · Software Engineering CASE DOMAIN

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

Domain=Software Engineering; The JD centers on building and optimizing front-end and back-end product applications with cloud, databases, architecture, and full-stack scalability, which best matches Fullstack Developer.

Matched skills

AngularReact JSMySQLMongoDBDynamoDBElastic SearchElastic CacheAWSGitweb services

Matched dimensions

Full-stack product engineeringScalable application architectureDatabase and query optimizationCloud application developmentCode quality and engineering standardsTechnical leadership and team culturePerformance tuning and server optimizationConsumer product architecture

Matched KRAs

Manage product milestones, deployment cycles & overall product roadmapDevelop optimized products in Angular, React JS and multi-process architecturePerform performance tuning and optimize databases and queriesBuild applications on cloud technologies like AWSMaintain Code Quality, Implement StandardsCommunicate complex technical concepts to technical and non-technical audienceShape team culture

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
4
Skipped

Job description

JOB DESCRIPTION


.Manage product milestones, deployment cycles & overall product roadmap 
•Develop optimized products in Angular, React JS and multi-process architecture
•Sound knowledge of Relational Databases like MySQL and NoSQL databases like MongoDB, DynamoDB,
•Elastic Search, Elastic Cache.
•Performance Tuning, designing and developing optimized databases and queries
•Build applications on cloud technologies like AWS.
•Maintain Code Quality, Implement Standards & improve overall understanding
•Familiar with various design and architectural patterns
•JAI Understanding of fundamental design principles behind a scalable application


EXPERTISE AND QUALIFICATIONS


•Experienced in Angular, React JS, web services, etc.
•Computer Science fundamentals like algorithms, data structures, etc. are must.
•Understanding of server optimization techniques/tools
•Ability to communicate complex technical concepts to both technical and non-technical audience
•At least 1-3 years of experience in consumer product engineering and architecture, with a proven track record of architect impactful products in the internal CRM and consumer domain.


•Proficient understanding of code versioning tools, such as Git
•Exceptional leadership skills and proven experience in shaping team culture
•Strong grasp of full-stack networking, scalable web back-end, and all genres of platforms
•Multitasking & problem solving approach

Skills from this JD

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

Angular Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Angular id=612 · angular

Aliases — catalog

  • Angular (CANONICAL) primary
  • Angular 1 (VERSION)
  • Angular 1.x (VERSION)
  • Angular 10 (VERSION)
  • Angular 11 (VERSION)
  • Angular 12 (VERSION)
  • Angular 13 (VERSION)
  • Angular 14 (VERSION)
  • Angular 15 (VERSION)
  • Angular 16 (VERSION)
  • Angular 17 (VERSION)
  • Angular 2 (VERSION)
  • Angular 2+ (VERSION)
  • Angular 4 (VERSION)
  • Angular 5 (VERSION)
  • Angular 6 (VERSION)
  • Angular 7 (VERSION)
  • Angular 8 (VERSION)
  • Angular 9 (VERSION)
  • AngularJS (VERSION)
  • angular 1 (VERSION)
  • angular 1.x (VERSION)
  • angular 10 (VERSION)
  • angular 11 (VERSION)
  • angular 12 (VERSION)
  • angular 13 (VERSION)
  • angular 14 (VERSION)
  • angular 15 (VERSION)
  • angular 16 (VERSION)
  • angular 17 (VERSION)
  • angular 18 (VERSION)
  • angular 19 (VERSION)
  • angular 2 (VERSION)
  • angular 2+ (VERSION)
  • angular 2.x (VERSION)
  • angular 3 (VERSION)
  • angular 4 (VERSION)
  • angular 5 (VERSION)
  • angular 6 (VERSION)
  • angular 7 (VERSION)
  • angular 8 (VERSION)
  • angular 9 (VERSION)
  • angular17 (VERSION)
  • angular2 (VERSION)
  • angularjs (VERSION)
  • angularjs 1.x (VERSION)
  • ng (VERSION)
  • ng1 (VERSION)
  • ng2 (VERSION)

Context tags (catalog)

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

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Frontend Framework
Vendor
Google
License
mit
Year introduced
2010
Confidence
0.98
Version strategy
SEPARATE_ENTITY
Version tag
2+

Maturity reasoning: Angular remains widely listed in frontend job descriptions and enterprise stacks; Google continues maintaining Angular, and it is a common hiring-pipeline skill alongside React/Vue rather than a sunset technology.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
1072
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Angular Component Model and Templates Catalog dimension db id 303

    Library dimension (catalog)

    Roles linked in library: Angular Frontend Developer

  • Application Frameworks & Libraries Catalog dimension db id 451

    Library dimension (catalog)

    Roles linked in library: Sitecore Dev

  • Frameworks & Libraries Catalog dimension db id 360

    Library dimension (catalog)

    Roles linked in library: Drupal Dev, Engineering Manager

  • UI Frameworks and Rendering Catalog dimension db id 115

    Library dimension (catalog)

    Roles linked in library: Frontend Developer, Fullstack Developer, Fullstack Developer, Hybrid Mobile Developer, Ionic Developer, Web Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Angular Component Model and Templates
angular-component-model-and-templates
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Application Frameworks & Libraries
application-frameworks-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Frameworks & Libraries
frameworks-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
UI Frameworks and Rendering
ui-frameworks-and-rendering
Existing dimension (library) · Role↔dimension saved
React Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: React id=610 · react

Aliases — catalog

  • React (CANONICAL) primary
  • React 0.13 (VERSION)
  • React 0.14 (VERSION)
  • React 15 (VERSION)
  • React 15.x (VERSION)
  • React 16 (VERSION)
  • React 16.x (VERSION)
  • React 17 (VERSION)
  • React 17.x (VERSION)
  • React 18 (VERSION)
  • React 18.x (VERSION)
  • React 19 (VERSION)
  • React v15 (VERSION)
  • React v16 (VERSION)
  • React v17 (VERSION)
  • React v18 (VERSION)
  • React v19 (VERSION)
  • ReactJS 18 (VERSION)
  • react 15 (VERSION)
  • react 16 (VERSION)
  • react 17 (VERSION)
  • react 18 (VERSION)
  • react 19 (VERSION)
  • react15 (VERSION)
  • react16 (VERSION)
  • react17 (VERSION)
  • react18 (VERSION)
  • react19 (VERSION)
  • reactjs 18 (VERSION)

Context tags (catalog)

Babel Class Components Component Lifecycle Context API Functional Components Higher-Order Components Hooks JSX Next.js PropTypes Props React Native React Router Redux SSR State Management Styled Components Testing Library TypeScript Virtual DOM Webpack component lifecycle context API frontend hooks props state management useEffect useState virtual DOM

Stored enrichment (catalog DB)

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

Maturity reasoning: React appears in high-volume frontend job postings across startups and enterprises and remains a default hiring-pipeline skill, with strong GitHub/npm usage and ecosystem activity.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
1072
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Application Frameworks & Libraries Catalog dimension db id 451

    Library dimension (catalog)

    Roles linked in library: Sitecore Dev

  • Frameworks & Libraries Catalog dimension db id 360

    Library dimension (catalog)

    Roles linked in library: Drupal Dev, Engineering Manager

  • Frontend Frameworks and Libraries Catalog dimension db id 434

    Library dimension (catalog)

    Roles linked in library: Shopify Dev

  • JavaScript for WordPress Catalog dimension db id 329

    Library dimension (catalog)

    Roles linked in library: WordPress Dev

  • React Component Architecture Catalog dimension db id 302

    Library dimension (catalog)

    Roles linked in library: React Frontend Developer

  • UI Frameworks and Rendering Catalog dimension db id 115

    Library dimension (catalog)

    Roles linked in library: Frontend Developer, Fullstack Developer, Fullstack Developer, Hybrid Mobile Developer, Ionic Developer, Web Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Application Frameworks & Libraries
application-frameworks-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Frameworks & Libraries
frameworks-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Frontend Frameworks and Libraries
frontend-frameworks-and-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript for WordPress
javascript-for-wordpress
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React Component Architecture
react-component-architecture
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
UI Frameworks and Rendering
ui-frameworks-and-rendering
Existing dimension (library) · Role↔dimension saved
MySQL Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: MySQL id=17 · mysql

Aliases — catalog

  • MySQL (CANONICAL) primary

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • Relational Data Modeling Catalog dimension db id 216

    Library dimension (catalog)

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

  • Relational Database Design Catalog dimension db id 4

    Library dimension (catalog)

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

  • Relational Database Usage Catalog dimension db id 371

    Library dimension (catalog)

    Roles linked in library: Go Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Relational Data Modeling
relational-data-modeling
Existing dimension (library) · Role↔dimension saved
Relational Database Design
relational-database-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Relational Database Usage
relational-database-usage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
MongoDB Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: MongoDB id=91 · mongodb

Aliases — catalog

  • MongoDB (CANONICAL) primary
  • MongoDB 2.0 (VERSION)
  • MongoDB 2.2 (VERSION)
  • MongoDB 2.4 (VERSION)
  • MongoDB 2.6 (VERSION)
  • MongoDB 3.0 (VERSION)
  • MongoDB 3.2 (VERSION)
  • MongoDB 3.4 (VERSION)
  • MongoDB 3.6 (VERSION)
  • MongoDB 4 (VERSION)
  • MongoDB 4.0 (VERSION)
  • MongoDB 4.2 (VERSION)
  • MongoDB 4.4 (VERSION)
  • MongoDB 5 (VERSION)
  • MongoDB 5.0 (VERSION)
  • MongoDB 6 (VERSION)
  • MongoDB 6.0 (VERSION)
  • MongoDB 7 (VERSION)
  • MongoDB 7.0 (VERSION)
  • MongoDB 8 (VERSION)
  • MongoDB 8.0 (VERSION)

Context tags (catalog)

BSON CRUD GridFS MongoDB Atlas Mongoose NoSQL TTL index aggregation pipeline change streams collections documents indexes replica set sharding

Stored enrichment (catalog DB)

Category
Datastore
Sub-category
Document Database
Vendor
MongoDB, Inc.
License
other_open
Year introduced
2009
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
8.0

Maturity reasoning: MongoDB appears in many job descriptions across backend/data roles and is a standard document database in modern stacks; strong GitHub/community activity and broad cloud vendor support indicate mainstream adoption.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
3
Sub-category id
27
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • NoSQL Databases Catalog dimension db id 19

    Library dimension (catalog)

    Roles linked in library: Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
NoSQL Databases
nosql-databases
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
DynamoDB Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Amazon DynamoDB id=93 · amazon-dynamodb

Aliases — catalog

  • Amazon DynamoDB (CANONICAL) primary

Context tags (catalog)

AWS SDK DAX GSI LSI NoSQL Streams TTL boto3 conditional writes on-demand capacity partition key provisioned throughput secondary index sort key transactions

Stored enrichment (catalog DB)

Category
Service
Sub-category
Managed Nosql Database Service
Vendor
Amazon Web Services
License
proprietary
Year introduced
2012
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Commonly listed in cloud/backend job descriptions and widely used on AWS; strong vendor adoption and active ecosystem signal broad market demand.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
55
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • NoSQL Databases Catalog dimension db id 19

    Library dimension (catalog)

    Roles linked in library: Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
NoSQL Databases
nosql-databases
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Elasticsearch Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Elasticsearch id=3171 · elasticsearch

Aliases — catalog

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

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • Magento Search and Indexing Catalog dimension db id 403

    Library dimension (catalog)

    Roles linked in library: Magento Dev

  • Search and Content Discovery Catalog dimension db id 356

    Library dimension (catalog)

    Roles linked in library: Drupal Dev, Sitecore Dev

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Magento Search and Indexing
magento-search-and-indexing
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Search and Content Discovery
search-and-content-discovery
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
ElastiCache 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
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

  • 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 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)
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Git Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Git id=1002 · git

Aliases — catalog

  • Git (CANONICAL)

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
730
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Web Services Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Algorithms Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Algorithms id=1004 · algorithms

Aliases — catalog

  • Algorithms (CANONICAL)

Context tags (catalog)

Big O notation backtracking binary trees breadth-first search complexity analysis data structures depth-first search divide and conquer dynamic programming graph algorithms greedy algorithms hashing recursion search algorithms sorting algorithms

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Algorithms
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Algorithms are a core hiring staple in software JDs and interview loops across FAANG and general SWE roles; they remain a standard CS curriculum topic rather than a niche tool or sunset technology.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
732
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)
Data Structures Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Data Structures id=1003 · data-structures

Aliases — catalog

  • Data Structures (CANONICAL)

Context tags (catalog)

Big O notation arrays binary search complexity analysis dynamic programming graphs hash tables linked lists memory management queues recursion searching algorithms sorting algorithms stacks trees

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Data Structures
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Core CS concept in nearly all software engineering JDs and interview loops; widely taught and expected across roles, with no sunset or replacement signal.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
731
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)
Multi-process Architecture Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Design Patterns Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: design patterns id=1654 · design-patterns

Aliases — catalog

  • design patterns (CANONICAL)

Context tags (catalog)

Adapter Builder Command Composite Decorator Dependency Injection Facade Factory MVC Observer Prototype SOLID Singleton Strategy Visitor

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Software Design Patterns
Confidence
0.94
Version strategy
NOT_APPLICABLE

Maturity reasoning: Design patterns are a standard interview/JD topic across backend and frontend roles; job postings commonly mention them alongside OOP and system design, and they remain core in books, courses, and code reviews.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1247
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)
Scalable Application Design 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
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Code Quality Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: code quality id=1653 · code-quality

Aliases — catalog

  • code quality (CANONICAL)

Context tags (catalog)

CI/CD best practices code coverage code review design patterns documentation linting maintainability performance optimization refactoring static analysis technical debt test-driven development unit testing version control

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Code Quality
Confidence
0.94
Version strategy
NOT_APPLICABLE

Maturity reasoning: Code quality is a standard hiring-pipeline expectation in JDs for software engineers and is reinforced by widespread use of linters, code review, and CI quality gates across major repos and platforms.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1246
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)
Standards 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
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Performance Tuning Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: query tuning id=3553 · query-tuning

Aliases — catalog

  • query tuning (CANONICAL) primary
  • Query Tuning (CANONICAL)

Context tags (catalog)

SQL SQL optimization caching cost estimation cost-based optimization data retrieval database indexing database optimization database performance database profiling database statistics database tuning execution plan execution time indexing join strategies load balancing parameter sniffing query analysis query complexity query execution query performance query profiling query rewriting resource allocation resource utilization statistics

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Query Optimization
Confidence
0.82
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common in DB/analytics job descriptions and vendor docs; PostgreSQL, MySQL, SQL Server, and Oracle all expose EXPLAIN/ANALYZE and tuning guides, showing broad hiring-pipeline demand.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
3067
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • 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

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Relational Database Design
relational-database-design
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Database Query Optimization Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: query optimization id=160 · query-optimization

Aliases — catalog

  • query optimization (CANONICAL) primary
  • Query optimization (CANONICAL)

Context tags (catalog)

B-tree EXPLAIN SQL performance caching cardinality estimation cost-based optimizer covering index data retrieval database partitioning database schema database tuning denormalization execution plan index scan indexing join algorithms join order join strategies load balancing materialized view materialized views normalization partition pruning partitioning query plan query profiling query rewriting slow query log statistics subqueries table scan

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Performance Optimization Concept
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common in DB/perf job descriptions and interview loops; vendors like PostgreSQL, MySQL, and SQL Server all document EXPLAIN/ANALYZE and indexing as standard tuning practices.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
679
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Performance and Cost Optimization Catalog dimension db id 33

    Library dimension (catalog)

    Roles linked in library: Data Engineer

  • Performance and Scalability Tuning Catalog dimension db id 11

    Library dimension (catalog)

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

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Performance and Cost Optimization
performance-and-cost-optimization
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Performance and Scalability Tuning
performance-and-scalability-tuning
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Server Optimization 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
Practices
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Full-stack Networking 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
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Scalable Web Back-end 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
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED

All API 3 persistence rows

Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
Angular in_db
Angular Component Model and Templates
angular-component-model-and-templates
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Angular in_db
Application Frameworks & Libraries
application-frameworks-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Angular in_db
Frameworks & Libraries
frameworks-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Angular in_db
UI Frameworks and Rendering
ui-frameworks-and-rendering
Existing dimension (library) · Role↔dimension saved
React in_db
Application Frameworks & Libraries
application-frameworks-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React in_db
Frameworks & Libraries
frameworks-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React in_db
Frontend Frameworks and Libraries
frontend-frameworks-and-libraries
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React in_db
JavaScript for WordPress
javascript-for-wordpress
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React in_db
React Component Architecture
react-component-architecture
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React in_db
UI Frameworks and Rendering
ui-frameworks-and-rendering
Existing dimension (library) · Role↔dimension saved
MySQL in_db
Relational Data Modeling
relational-data-modeling
Existing dimension (library) · Role↔dimension saved
MySQL in_db
Relational Database Design
relational-database-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
MySQL in_db
Relational Database Usage
relational-database-usage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
MongoDB in_db
NoSQL Databases
nosql-databases
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
DynamoDB new
NoSQL Databases
nosql-databases
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Elasticsearch in_db
Magento Search and Indexing
magento-search-and-indexing
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Elasticsearch in_db
Search and Content Discovery
search-and-content-discovery
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
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)
AWS in_db
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Git in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Algorithms in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Data Structures in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Design Patterns in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Code Quality in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Performance Tuning new
Relational Database Design
relational-database-design
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Database Query Optimization new
Performance and Cost Optimization
performance-and-cost-optimization
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Database Query Optimization new
Performance and Scalability Tuning
performance-and-scalability-tuning
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed ElastiCache | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Web Services | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Multi-process Architecture | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Scalable Application Design | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Standards | type=Concepts subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Server Optimization | type=Practices subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Full-stack Networking | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Scalable Web Back-end | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
dimension_skill_link_proposed DynamoDB ↔ NoSQL Databases
dimension_skill_link_proposed Performance Tuning ↔ Relational Database Design
dimension_skill_link_proposed Database Query Optimization ↔ Performance and Cost Optimization
dimension_skill_link_proposed Database Query Optimization ↔ Performance and Scalability Tuning
nano JD Parser — gpt-4.1-nano click to toggle
ExperienceAt least 1-3 years of experience in consumer product engineering and architecture
DomainOther
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": null,
  "certifications": [],
  "company_name": null,
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [],
      "domain": "Other"
    },
    "secondary": null
  },
  "education": [],
  "experience": {
    "max": 3,
    "min": 1,
    "raw": "At least 1-3 years of experience in consumer product engineering and architecture"
  },
  "job_locations": [],
  "role": null,
  "role_aliases": [],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 8,
      "heading": "Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": ".Manage product milestones, deployment cycles",
        "last_5_words": "design principles behind a scalable application"
      },
      "text": ".Manage product milestones, deployment cycles \u0026 overall product roadmap \n\u2022Develop optimized products in Angular, React JS and multi-process architecture\n\u2022Sound knowledge of Relational Databases like MySQL and NoSQL databases like MongoDB, DynamoDB,\n\u2022Elastic Search, Elastic Cache.\n\u2022Performance Tuning, designing and developing optimized databases and queries\n\u2022Build applications on cloud technologies like AWS.\n\u2022Maintain Code Quality, Implement Standards \u0026 improve overall understanding\n\u2022Familiar with various design and architectural patterns\n\u2022JAI Understanding of fundamental design principles behind a scalable application",
      "word_count": 98
    },
    {
      "bullet_count": 9,
      "heading": "Expertise and Qualifications",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022Experienced in Angular, React JS, web",
        "last_5_words": "multitasking \u0026 problem solving approach"
      },
      "text": "\u2022Experienced in Angular, React JS, web services, etc.\n\u2022Computer Science fundamentals like algorithms, data structures, etc. are must.\n\u2022Understanding of server optimization techniques/tools\n\u2022Ability to communicate complex technical concepts to both technical and non-technical audience\n\u2022At least 1-3 years of experience in consumer product engineering and architecture, with a proven track record of architect impactful products in the internal CRM and consumer domain.\n\n\u2022Proficient understanding of code versioning tools, such as Git\n\u2022Exceptional leadership skills and proven experience in shaping team culture\n\u2022Strong grasp of full-stack networking, scalable web back-end, and all genres of platforms\n\u2022Multitasking \u0026 problem solving approach",
      "word_count": 118
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Angular"
    },
    {
      "is_primary": true,
      "skill_name": "React"
    },
    {
      "is_primary": true,
      "skill_name": "MySQL"
    },
    {
      "is_primary": true,
      "skill_name": "MongoDB"
    },
    {
      "is_primary": true,
      "skill_name": "DynamoDB"
    },
    {
      "is_primary": true,
      "skill_name": "Elasticsearch"
    },
    {
      "is_primary": true,
      "skill_name": "ElastiCache"
    },
    {
      "is_primary": true,
      "skill_name": "AWS"
    },
    {
      "is_primary": true,
      "skill_name": "Git"
    },
    {
      "is_primary": true,
      "skill_name": "Web Services"
    },
    {
      "is_primary": true,
      "skill_name": "Algorithms"
    },
    {
      "is_primary": true,
      "skill_name": "Data Structures"
    },
    {
      "is_primary": true,
      "skill_name": "Multi-process Architecture"
    },
    {
      "is_primary": false,
      "skill_name": "Design Patterns"
    },
    {
      "is_primary": false,
      "skill_name": "Scalable Application Design"
    },
    {
      "is_primary": false,
      "skill_name": "Code Quality"
    },
    {
      "is_primary": false,
      "skill_name": "Standards"
    },
    {
      "is_primary": false,
      "skill_name": "Performance Tuning"
    },
    {
      "is_primary": false,
      "skill_name": "Database Query Optimization"
    },
    {
      "is_primary": false,
      "skill_name": "Server Optimization"
    },
    {
      "is_primary": false,
      "skill_name": "Full-stack Networking"
    },
    {
      "is_primary": false,
      "skill_name": "Scalable Web Back-end"
    }
  ],
  "jd_role": null,
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "certifications": [],
    "company_name": null,
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [],
        "domain": "Other"
      },
      "secondary": null
    },
    "education": [],
    "experience": {
      "max": 3,
      "min": 1,
      "raw": "At least 1-3 years of experience in consumer product engineering and architecture"
    },
    "job_locations": [],
    "role": null,
    "role_aliases": [],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 8,
        "heading": "Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": ".Manage product milestones, deployment cycles",
          "last_5_words": "design principles behind a scalable application"
        },
        "text": ".Manage product milestones, deployment cycles \u0026 overall product roadmap \n\u2022Develop optimized products in Angular, React JS and multi-process architecture\n\u2022Sound knowledge of Relational Databases like MySQL and NoSQL databases like MongoDB, DynamoDB,\n\u2022Elastic Search, Elastic Cache.\n\u2022Performance Tuning, designing and developing optimized databases and queries\n\u2022Build applications on cloud technologies like AWS.\n\u2022Maintain Code Quality, Implement Standards \u0026 improve overall understanding\n\u2022Familiar with various design and architectural patterns\n\u2022JAI Understanding of fundamental design principles behind a scalable application",
        "word_count": 98
      },
      {
        "bullet_count": 9,
        "heading": "Expertise and Qualifications",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022Experienced in Angular, React JS, web",
          "last_5_words": "multitasking \u0026 problem solving approach"
        },
        "text": "\u2022Experienced in Angular, React JS, web services, etc.\n\u2022Computer Science fundamentals like algorithms, data structures, etc. are must.\n\u2022Understanding of server optimization techniques/tools\n\u2022Ability to communicate complex technical concepts to both technical and non-technical audience\n\u2022At least 1-3 years of experience in consumer product engineering and architecture, with a proven track record of architect impactful products in the internal CRM and consumer domain.\n\n\u2022Proficient understanding of code versioning tools, such as Git\n\u2022Exceptional leadership skills and proven experience in shaping team culture\n\u2022Strong grasp of full-stack networking, scalable web back-end, and all genres of platforms\n\u2022Multitasking \u0026 problem solving approach",
        "word_count": 118
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "4cd2a88c-912f-4ff2-85a0-3f59d80984ed",
  "stage3_signals": {
    "alias_found": false,
    "alias_match_roles": [],
    "kra_match_roles": [
      {
        "display_name": "Go Backend Developer",
        "kra_matches": [
          {
            "kra_text": "performance tuning and resource efficiency",
            "sentence": "Performance Tuning, designing and developing optimized databases and queries",
            "similarity": 0.6518
          },
          {
            "kra_text": "performance tuning and resource efficiency",
            "sentence": "Understanding of server optimization techniques/tools",
            "similarity": 0.6095
          },
          {
            "kra_text": "code review and testing support",
            "sentence": "Maintain Code Quality, Implement Standards \u0026 improve overall understanding",
            "similarity": 0.5607
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 81,
        "score": 0.6073,
        "slug": "go-backend-developer",
        "total_count": null
      },
      {
        "display_name": "Java Backend Developer",
        "kra_matches": [
          {
            "kra_text": "backend performance tuning",
            "sentence": "Performance Tuning, designing and developing optimized databases and queries",
            "similarity": 0.6639
          },
          {
            "kra_text": "backend performance tuning",
            "sentence": "Understanding of server optimization techniques/tools",
            "similarity": 0.6051
          },
          {
            "kra_text": "code refactoring and defect fixes",
            "sentence": "Maintain Code Quality, Implement Standards \u0026 improve overall understanding",
            "similarity": 0.549
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 79,
        "score": 0.606,
        "slug": "java-backend-developer",
        "total_count": null
      },
      {
        "display_name": "Fullstack Developer",
        "kra_matches": [
          {
            "kra_text": "Designs and queries relational databases like PostgreSQL and document stores like MongoDB, writing migrations, indexes, and optimized queries.",
            "sentence": "Performance Tuning, designing and developing optimized databases and queries",
            "similarity": 0.6043
          },
          {
            "kra_text": "Designs and queries relational databases like PostgreSQL and document stores like MongoDB, writing migrations, indexes, and optimized queries.",
            "sentence": "Sound knowledge of Relational Databases like MySQL and NoSQL databases like MongoDB, DynamoDB,",
            "similarity": 0.5917
          },
          {
            "kra_text": "Builds and integrates client-side React or Vue components with server-side Node.js or Django APIs, managing bidirectional data flow across frontend and backend layers.",
            "sentence": "Develop optimized products in Angular, React JS and multi-process architecture",
            "similarity": 0.5654
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 15,
        "score": 0.5871,
        "slug": "full-stack-engineer",
        "total_count": null
      },
      {
        "display_name": "Svelte Frontend Developer",
        "kra_matches": [
          {
            "kra_text": "performance tuning",
            "sentence": "Performance Tuning, designing and developing optimized databases and queries",
            "similarity": 0.7201
          },
          {
            "kra_text": "performance tuning",
            "sentence": "Understanding of server optimization techniques/tools",
            "similarity": 0.5818
          },
          {
            "kra_text": "UI component development",
            "sentence": "Develop optimized products in Angular, React JS and multi-process architecture",
            "similarity": 0.4378
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 92,
        "score": 0.5799,
        "slug": "svelte-frontend-developer",
        "total_count": null
      },
      {
        "display_name": "Frontend Developer",
        "kra_matches": [
          {
            "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 optimized products in Angular, React JS and multi-process architecture",
            "similarity": 0.594
          },
          {
            "kra_text": "Optimizes web application performance through code splitting, lazy loading, tree shaking, bundle size reduction, and Core Web Vitals improvements.",
            "sentence": "Understanding of server optimization techniques/tools",
            "similarity": 0.539
          },
          {
            "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": "Experienced in Angular, React JS, web services, etc. \u2022Computer Science fundamentals like algorithms, data structures, etc. are must.",
            "similarity": 0.5237
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 7,
        "score": 0.5523,
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    ],
    "skill_match_roles": [
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        "kra_matches": null,
        "matched_count": 4,
        "matched_skills": [
          "AWS",
          "Angular",
          "MySQL",
          "React"
        ],
        "role_id": 15,
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      },
      {
        "display_name": "Drupal Dev",
        "kra_matches": null,
        "matched_count": 3,
        "matched_skills": [
          "Angular",
          "Elasticsearch",
          "React"
        ],
        "role_id": 228,
        "score": 0.2308,
        "slug": "drupal-dev",
        "total_count": 13
      },
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": 3,
        "matched_skills": [
          "AWS",
          "MongoDB",
          "MySQL"
        ],
        "role_id": 1,
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      },
      {
        "display_name": "Engineering Manager",
        "kra_matches": null,
        "matched_count": 3,
        "matched_skills": [
          "AWS",
          "Angular",
          "React"
        ],
        "role_id": 121,
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        "slug": "engineering-manager",
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      },
      {
        "display_name": "Sitecore Dev",
        "kra_matches": null,
        "matched_count": 3,
        "matched_skills": [
          "Angular",
          "Elasticsearch",
          "React"
        ],
        "role_id": 233,
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        "slug": "sitecore-dev",
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    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "DOMAIN",
    "chosen_role": {
      "display_name": "Fullstack Developer",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
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    },
    "confidence": 0.93,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [
      "Full-stack product engineering",
      "Scalable application architecture",
      "Database and query optimization",
      "Cloud application development",
      "Code quality and engineering standards",
      "Technical leadership and team culture",
      "Performance tuning and server optimization",
      "Consumer product architecture"
    ],
    "matched_kras": [
      "Manage product milestones, deployment cycles \u0026 overall product roadmap",
      "Develop optimized products in Angular, React JS and multi-process architecture",
      "Perform performance tuning and optimize databases and queries",
      "Build applications on cloud technologies like AWS",
      "Maintain Code Quality, Implement Standards",
      "Communicate complex technical concepts to technical and non-technical audience",
      "Shape team culture"
    ],
    "matched_skills": [
      "Angular",
      "React JS",
      "MySQL",
      "MongoDB",
      "DynamoDB",
      "Elastic Search",
      "Elastic Cache",
      "AWS",
      "Git",
      "web services"
    ],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Domain=Software Engineering; The JD centers on building and optimizing front-end and back-end product applications with cloud, databases, architecture, and full-stack scalability, which best matches Fullstack Developer.",
    "sub_role": null
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    "centroid_n_after": 463,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": null,
    "new_skills_attached": [
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        "is_primary": true,
        "queue_id": 14626,
        "role_display_name": "Fullstack Developer",
        "role_slug": "full-stack-engineer",
        "skill_name": "DynamoDB",
        "status": "pending"
      },
      {
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        "role_display_name": "Fullstack Developer",
        "role_slug": "full-stack-engineer",
        "skill_name": "ElastiCache",
        "status": "pending"
      },
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        "role_display_name": "Fullstack Developer",
        "role_slug": "full-stack-engineer",
        "skill_name": "Web Services",
        "status": "pending"
      },
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        "is_primary": true,
        "queue_id": 14629,
        "role_display_name": "Fullstack Developer",
        "role_slug": "full-stack-engineer",
        "skill_name": "Multi-process Architecture",
        "status": "pending"
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        "is_primary": false,
        "queue_id": 14630,
        "role_display_name": "Fullstack Developer",
        "role_slug": "full-stack-engineer",
        "skill_name": "Scalable Application Design",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 14631,
        "role_display_name": "Fullstack Developer",
        "role_slug": "full-stack-engineer",
        "skill_name": "Standards",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 14632,
        "role_display_name": "Fullstack Developer",
        "role_slug": "full-stack-engineer",
        "skill_name": "Performance Tuning",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 14633,
        "role_display_name": "Fullstack Developer",
        "role_slug": "full-stack-engineer",
        "skill_name": "Database Query Optimization",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 14634,
        "role_display_name": "Fullstack Developer",
        "role_slug": "full-stack-engineer",
        "skill_name": "Server Optimization",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 14635,
        "role_display_name": "Fullstack Developer",
        "role_slug": "full-stack-engineer",
        "skill_name": "Full-stack Networking",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 14636,
        "role_display_name": "Fullstack Developer",
        "role_slug": "full-stack-engineer",
        "skill_name": "Scalable Web Back-end",
        "status": "pending"
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    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
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}
API 2 — extract-details
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      "alias_persisted": false,
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      "input_term": "Angular",
      "matched_canonical": {
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        "display_name": "Angular",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "FRAMEWORK",
        "slug": "angular",
        "sub_category_id": 1072,
        "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": 1047,
      "existing_alias_text": "React",
      "input_term": "React",
      "matched_canonical": {
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "FRAMEWORK",
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        "sub_category_id": 1072,
        "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": 134,
      "existing_alias_text": "MySQL",
      "input_term": "MySQL",
      "matched_canonical": {
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        "display_name": "MySQL",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "mysql",
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        "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": 232,
      "existing_alias_text": "MongoDB",
      "input_term": "MongoDB",
      "matched_canonical": {
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        "display_name": "MongoDB",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "mongodb",
        "sub_category_id": 27,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
      "alias_persisted": false,
      "existing_alias_id": null,
      "existing_alias_text": null,
      "input_term": "DynamoDB",
      "matched_canonical": {
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CLOUD_SERVICE",
        "slug": "amazon-dynamodb",
        "sub_category_id": 55,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "embedding_display_name"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 4648,
      "existing_alias_text": "Elasticsearch",
      "input_term": "Elasticsearch",
      "matched_canonical": {
        "category_id": 3,
        "display_name": "Elasticsearch",
        "id": 3171,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "elasticsearch",
        "sub_category_id": 2925,
        "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": 406,
      "existing_alias_text": "AWS",
      "input_term": "AWS",
      "matched_canonical": {
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        "display_name": "AWS",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "aws",
        "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": 1613,
      "existing_alias_text": "Git",
      "input_term": "Git",
      "matched_canonical": {
        "category_id": 13,
        "display_name": "Git",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "git",
        "sub_category_id": 730,
        "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": 1615,
      "existing_alias_text": "Algorithms",
      "input_term": "Algorithms",
      "matched_canonical": {
        "category_id": 2,
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "algorithms",
        "sub_category_id": 732,
        "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": 1614,
      "existing_alias_text": "Data Structures",
      "input_term": "Data Structures",
      "matched_canonical": {
        "category_id": 2,
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
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        "sub_category_id": 731,
        "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": 2624,
      "existing_alias_text": "design patterns",
      "input_term": "Design Patterns",
      "matched_canonical": {
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
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        "sub_category_id": 1247,
        "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": 2623,
      "existing_alias_text": "code quality",
      "input_term": "Code Quality",
      "matched_canonical": {
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        "is_also_category": false,
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        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
      "alias_persisted": false,
      "existing_alias_id": 5584,
      "existing_alias_text": "Query Tuning",
      "input_term": "Performance Tuning",
      "matched_canonical": {
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        "display_name": "query tuning",
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        "is_also_category": false,
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        "skill_nature": "CONCEPT",
        "slug": "query-tuning",
        "sub_category_id": 3067,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "embedding_alias"
    },
    {
      "alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
      "alias_persisted": false,
      "existing_alias_id": 369,
      "existing_alias_text": "Query optimization",
      "input_term": "Database Query Optimization",
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        "category_id": 2,
        "display_name": "query optimization",
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        "is_extractable": true,
        "skill_nature": "CONCEPT",
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        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
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      "matched_via": "embedding_alias"
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  ],
  "candidate_roles": [
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      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "angular-frontend-developer",
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    },
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      "slug": "ionic-developer",
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      "display_name": "WordPress Dev",
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      "rationale": null,
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      "slug": "cloud-architect",
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      "slug": "cloud-security-engineer",
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  ],
  "chosen_role": {
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  "dimensions": [
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            "difficulty_hint": "well_known",
            "display_name": "Relational Database Design",
            "id": 4,
            "rationale": "Modeling and operating relational persistence for backend services. Includes schema design, normalization, indexing, transactions, and query tuning for operational data stores.",
            "slug": "relational-database-design",
            "source": "db"
          },
          "input_skill": "Performance Tuning",
          "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": "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": "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"
            }
          ]
        }
      ],
      "input_skill": "Performance Tuning",
      "matched_via": "embedding_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": "query optimization",
          "alias_type": "CANONICAL",
          "id": 3678,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Query optimization",
          "alias_type": "CANONICAL",
          "id": 369,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "query optimization",
        "id": 160,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "query-optimization",
        "sub_category_id": 679,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Performance and Cost Optimization",
            "id": 33,
            "rationale": "Techniques for improving the speed, reliability, and cost efficiency of data workloads. This includes query tuning, partitioning, file sizing, compute right-sizing, and workload management.",
            "slug": "performance-and-cost-optimization",
            "source": "db"
          },
          "input_skill": "Database Query Optimization",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Performance and Scalability Tuning",
            "id": 11,
            "rationale": "Techniques for improving throughput, latency, and resource efficiency in PHP backend services. This includes profiling, query optimization, concurrency limits, memory use, and bottleneck analysis.",
            "slug": "performance-and-scalability-tuning",
            "source": "db"
          },
          "input_skill": "Database Query Optimization",
          "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"
            }
          ]
        }
      ],
      "input_skill": "Database Query Optimization",
      "matched_via": "embedding_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": "Server Optimization",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Practices",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "server-optimization",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Full-stack Networking",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "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": "full-stack-networking",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Scalable Web Back-end",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "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": "scalable-web-back-end",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "ElastiCache",
    "Web Services",
    "Multi-process Architecture",
    "Scalable Application Design",
    "Standards",
    "Server Optimization",
    "Full-stack Networking",
    "Scalable Web Back-end"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Fullstack Developer",
    "id": 15,
    "rationale": "Domain=Software Engineering; The JD centers on building and optimizing front-end and back-end product applications with cloud, databases, architecture, and full-stack scalability, which best matches Fullstack Developer.",
    "role_archetype": null,
    "slug": "full-stack-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Angular",
      "tag": "in_db"
    },
    {
      "skill": "React",
      "tag": "in_db"
    },
    {
      "skill": "MySQL",
      "tag": "in_db"
    },
    {
      "skill": "MongoDB",
      "tag": "in_db"
    },
    {
      "skill": "DynamoDB",
      "tag": "in_db"
    },
    {
      "skill": "Elasticsearch",
      "tag": "in_db"
    },
    {
      "skill": "ElastiCache",
      "tag": "new"
    },
    {
      "skill": "AWS",
      "tag": "in_db"
    },
    {
      "skill": "Git",
      "tag": "in_db"
    },
    {
      "skill": "Web Services",
      "tag": "new"
    },
    {
      "skill": "Algorithms",
      "tag": "in_db"
    },
    {
      "skill": "Data Structures",
      "tag": "in_db"
    },
    {
      "skill": "Multi-process Architecture",
      "tag": "new"
    },
    {
      "skill": "Design Patterns",
      "tag": "in_db"
    },
    {
      "skill": "Scalable Application Design",
      "tag": "new"
    },
    {
      "skill": "Code Quality",
      "tag": "in_db"
    },
    {
      "skill": "Standards",
      "tag": "new"
    },
    {
      "skill": "Performance Tuning",
      "tag": "in_db"
    },
    {
      "skill": "Database Query Optimization",
      "tag": "in_db"
    },
    {
      "skill": "Server Optimization",
      "tag": "new"
    },
    {
      "skill": "Full-stack Networking",
      "tag": "new"
    },
    {
      "skill": "Scalable Web Back-end",
      "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": "Angular Component Model and Templates",
          "id": 303,
          "rationale": "Core Angular framework surface for building reusable UI, composing views, and wiring component behavior. This is the main application substrate for browser features in this role.",
          "slug": "angular-component-model-and-templates",
          "source": "db"
        },
        "dimension_id": 303,
        "input_skill": "Angular",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Angular Frontend Developer",
            "id": 90,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "angular-frontend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 612,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Application Frameworks \u0026 Libraries",
          "id": 451,
          "rationale": "Covers the primary software frameworks and libraries often used alongside Sitecore for building and enhancing site experiences.",
          "slug": "application-frameworks-libraries",
          "source": "db"
        },
        "dimension_id": 451,
        "input_skill": "Angular",
        "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": "Sitecore Dev",
            "id": 233,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "sitecore-dev",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 612,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Frameworks \u0026 Libraries",
          "id": 360,
          "rationale": "Manage adoption, integration, and best practices around key software frameworks and libraries.",
          "slug": "frameworks-libraries",
          "source": "db"
        },
        "dimension_id": 360,
        "input_skill": "Angular",
        "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": "Drupal Dev",
            "id": 228,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "drupal-dev",
            "source": "db"
          },
          {
            "display_name": "Engineering Manager",
            "id": 121,
            "rationale": null,
            "role_archetype": null,
            "slug": "engineering-manager",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 612,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "UI Frameworks and Rendering",
          "id": 115,
          "rationale": "Component frameworks and rendering models used to build browser screens, reusable UI, and interactive client flows. This is a core cluster because frontend engineers spend much of their time composing and updating view hierarchies.",
          "slug": "ui-frameworks-and-rendering",
          "source": "db"
        },
        "dimension_id": 115,
        "input_skill": "Angular",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "Frontend Developer",
            "id": 7,
            "rationale": null,
            "role_archetype": null,
            "slug": "frontend-engineer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 435,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "fullstack-developer",
            "source": "db"
          },
          {
            "display_name": "Hybrid Mobile Developer",
            "id": 11,
            "rationale": null,
            "role_archetype": null,
            "slug": "hybrid-mobile-developer",
            "source": "db"
          },
          {
            "display_name": "Ionic Developer",
            "id": 434,
            "rationale": null,
            "role_archetype": null,
            "slug": "ionic-developer",
            "source": "db"
          },
          {
            "display_name": "Web Developer",
            "id": 25,
            "rationale": null,
            "role_archetype": null,
            "slug": "web-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 612,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Application Frameworks \u0026 Libraries",
          "id": 451,
          "rationale": "Covers the primary software frameworks and libraries often used alongside Sitecore for building and enhancing site experiences.",
          "slug": "application-frameworks-libraries",
          "source": "db"
        },
        "dimension_id": 451,
        "input_skill": "React",
        "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": "Sitecore Dev",
            "id": 233,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "sitecore-dev",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 610,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Frameworks \u0026 Libraries",
          "id": 360,
          "rationale": "Manage adoption, integration, and best practices around key software frameworks and libraries.",
          "slug": "frameworks-libraries",
          "source": "db"
        },
        "dimension_id": 360,
        "input_skill": "React",
        "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": "Drupal Dev",
            "id": 228,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "drupal-dev",
            "source": "db"
          },
          {
            "display_name": "Engineering Manager",
            "id": 121,
            "rationale": null,
            "role_archetype": null,
            "slug": "engineering-manager",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 610,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Frontend Frameworks and Libraries",
          "id": 434,
          "rationale": "Utilizing modern JavaScript frameworks and Shopify libraries to build dynamic and interactive storefronts.",
          "slug": "frontend-frameworks-and-libraries",
          "source": "db"
        },
        "dimension_id": 434,
        "input_skill": "React",
        "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": "Shopify Dev",
            "id": 230,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "shopify-dev",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 610,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "JavaScript for WordPress",
          "id": 329,
          "rationale": "Client-side scripting used to enhance WordPress themes, blocks, and admin/editor interactions. This includes modern JavaScript patterns as they apply to WordPress-specific behavior rather than standalone frontend applications.",
          "slug": "javascript-for-wordpress",
          "source": "db"
        },
        "dimension_id": 329,
        "input_skill": "React",
        "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": "WordPress Dev",
            "id": 227,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "wordpress-dev",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 610,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Component Architecture",
          "id": 302,
          "rationale": "Building reusable React components, composing props and children, and managing rendering behavior across feature screens. This is the primary framework cluster for a React frontend developer.",
          "slug": "react-component-architecture",
          "source": "db"
        },
        "dimension_id": 302,
        "input_skill": "React",
        "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": "React Frontend Developer",
            "id": 89,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "react-frontend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 610,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "UI Frameworks and Rendering",
          "id": 115,
          "rationale": "Component frameworks and rendering models used to build browser screens, reusable UI, and interactive client flows. This is a core cluster because frontend engineers spend much of their time composing and updating view hierarchies.",
          "slug": "ui-frameworks-and-rendering",
          "source": "db"
        },
        "dimension_id": 115,
        "input_skill": "React",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "Frontend Developer",
            "id": 7,
            "rationale": null,
            "role_archetype": null,
            "slug": "frontend-engineer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
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          {
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        "roles_from_db": [
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        "roles_from_db": [
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        "dimension": {
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          "rationale": "Modeling and operating relational persistence for backend services. Includes schema design, normalization, indexing, transactions, and query tuning for operational data stores.",
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        },
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        "roles_from_db": [
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            "slug": "backend-engineer",
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          {
            "display_name": "Kotlin Backend Developer",
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            "display_name": "Ruby Backend Developer",
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            "display_name": "Scala Backend Developer",
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        ],
        "skill_dimension_saved": false,
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        "skill_tag": "new",
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        "dimension": {
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          "rationale": "Techniques for improving the speed, reliability, and cost efficiency of data workloads. This includes query tuning, partitioning, file sizing, compute right-sizing, and workload management.",
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        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
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        "roles_from_db": [
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            "display_name": "Data Engineer",
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            "slug": "data-engineer",
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        ],
        "skill_dimension_saved": false,
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          "rationale": "Techniques for improving throughput, latency, and resource efficiency in PHP backend services. This includes profiling, query optimization, concurrency limits, memory use, and bottleneck analysis.",
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        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
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        "roles_from_db": [
          {
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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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          },
          {
            "display_name": "PHP Backend Developer",
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          },
          {
            "display_name": "Python Backend Developer",
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            "role_archetype": "Engineering",
            "slug": "python-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      }
    ],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 4
  },
  "planner_output": null,
  "run_id": "4cd2a88c-912f-4ff2-85a0-3f59d80984ed"
}

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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