Pipeline run
d218e9df-065b-433b-a3ba-dd377cd3e6bf
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionvocab breakdown (legacy)
Signals
Post-classification
Captured for admin review
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Frontend Developer
domain · Software Engineering CASE DOMAINslug: frontend-engineer · id: 7 · source: db
Domain=Software Engineering; The JD is focused on building responsive, interactive client-side interfaces, converting UI/UX designs into prototypes, and optimizing frontend performance at scale.
Matched skills
Matched dimensions
Matched KRAs
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
Job description
About CredAvenue CredAvenue is India’s first and largest institutional debt platform that provides full-stack debt infrastructure across discovery, execution and fulfillment. In March 2022 we became India’s fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. CredAvenue started in 2020 with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All 5 of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Loans – term loans and working capital loans Bonds – fixed income securities like bonds, commercial papers, and MLDs Pools – structured finance products like asset-backed securitization, PTCs, and Das Supply Chain Finance – dealer and vendor financing, factoring, and dynamic discounting Co-Lending – co-origination platform for banks, NBFCs, and fintechs Currently, we have onboarded over 3000+ corporates, and 350+ investors and have facilitated debt volumes of over INR 95,000 crores so far. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed, and Light rock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. CredAvenue is constantly growing with 500+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. Inviting applications for the role of Software Engineer Some Perks And Benefits At CredAvenue Apart from the unique opportunity of transforming the debt market, our benefits include: Ample opportunity for significant personal wealth creation by way of ESOPs.One can never stop learning so we have a dedicated budget of INR 75,000/year that you can use towards pursuing learning programs/certifications/attending conferences. Best in industry healthcare for you and your family: Life insurance (10X your Fixed annual CTC) and Critical Illness cover (7X your Fixed annual CTC)Generous health insurance for you as well as your dependents, including parents or Parents in-laws up to INR 800,000 for self and dependents.Child care reimbursement of 15k per month per child for all working parents towards nanny/creche expenses.Food is on the house. So that you can focus on what matters the most. Best in class Maternity & paternity benefitsHybrid work modules to get quality work done by managing your own time.We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability or age. About The Role We are looking for a qualified Front-end developer to join our Engineering team. The UI team is responsible to develop a revolutionary finance marketplace product including the design, user experience and business logic to ensure that the product is easy-to-use, appealing and effective. Your broad knowledge with required skill set will make you a vital part of our new and growing team. As a HTML5 developer you will be motivated to combine the art of design with the art of programming. If this is you and you are looking for a great bunch of people to partner with on your next journey, then let’s talk Responsibilities Work closely with design and product management to create elegant, usable, responsive and interactive interfaces across multiple devices.Turning UI/UX designs into prototypes, creating awesome interactions from designs, writing reusable content modules and maintainability of the code.Also Writing high-quality code, participating in code reviews.Implement UI development principles to ensure that the product client-side serves at scale.Review and optimize app usage by monitoring key metrics and rectifying the issues proactively.An ability to perform well in a fast-paced environment and bring in optimal flow for rapidly changing design/ technology Requirements Degree in Computer Science or relevant experience1-4 years of relevant hands-on software engineering experience doing software design and developmentGood command over at least one JavaScript frameworks like React.js , Vue.js or AngularSound knowledge in HTML, CSS, ES6 and Typescript concepts.A team player with good communication skills.Work in a fast-paced environment and make pragmatic engineering decisions in a short amount of time. If you’re interested in creating a user-friendly environment by writing code and moving forward in your career, then this job is for you. We expect you to be a tech-savvy professional, who is curious about new digital technologies and aspires to combine usability with visual design. Ultimately, you should be able to create a functional and attractive digital environment for our company, ensuring a great user experience.
Skills from this JD
Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.
Aliases — catalog
- UI/UX (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Domain
- Sub-category
- Ui Ux Design
- Confidence
- 0.96
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: UI/UX appears in a large share of product/design job descriptions across industries and is a standard hiring requirement, with strong demand on major job boards and design-tool ecosystems.
Skill profile (library / DB)
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 37
- Sub-category id
- 1255
- 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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- Code Review (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- SoftSkill
- Sub-category
- Code Review
- Confidence
- 0.96
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Code review is a standard hiring-pipeline requirement in engineering JDs and is built into major platforms like GitHub/GitLab pull-request workflows, indicating broad adoption.
Skill profile (library / DB)
- Skill nature
- PRACTICE
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 58
- Sub-category id
- 364
- 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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Web Development
- Sub-category
- Client-side Technologies
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Version strategy
- UNVERSIONED
Aliases — catalog
- metrics (CANONICAL) primary
- Metrics (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Concept
- Sub-category
- Metrics
- Confidence
- 0.84
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Metrics is a standard observability requirement and appears in many JDs for monitoring/telemetry roles; vendors like Prometheus/Grafana and cloud platforms center it in their docs and product stacks.
Skill profile (library / DB)
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 2
- Sub-category id
- 3506
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Backend Observability, Logging, and Diagnostics Catalog dimension db id 388
Library dimension (catalog)
Roles linked in library: Kotlin Backend Developer, Scala Backend Developer
-
Experiment Tracking and Evaluation Catalog dimension db id 44
Library dimension (catalog)
Roles linked in library: ML Engineer, MLOps Engineer
-
Observability and Diagnostics Catalog dimension db id 287
Library dimension (catalog)
Roles linked in library: Go Backend Developer, Java Backend Developer, Python Backend Developer
-
Observability and Incident Response Catalog dimension db id 10
Library dimension (catalog)
Roles linked in library: .NET Backend Developer, Backend Developer, Node.js Backend Developer, PHP Backend Developer
-
Observability and Operations Catalog dimension db id 143
Library dimension (catalog)
Roles linked in library: Cloud Architect
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Backend Observability, Logging, and Diagnostics
backend-observability-logging-and-diagnostics
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Experiment Tracking and Evaluation
experiment-tracking-and-evaluation
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Observability and Diagnostics
observability-and-diagnostics
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Observability and Incident Response
observability-and-incident-response
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Observability and Operations
observability-and-operations
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
All API 3 persistence rows
Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.
| Skill | Tag | Dimension | Skill↔dim | Role↔dim | Outcome | Notes |
|---|---|---|---|---|---|---|
| UI/UX | in_db |
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Code Review | in_db |
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Metrics | in_db |
Backend Observability, Logging, and Diagnostics
backend-observability-logging-and-diagnostics
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Metrics | in_db |
Experiment Tracking and Evaluation
experiment-tracking-and-evaluation
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Metrics | in_db |
Observability and Diagnostics
observability-and-diagnostics
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Metrics | in_db |
Observability and Incident Response
observability-and-incident-response
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Metrics | in_db |
Observability and Operations
observability-and-operations
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Library artifacts (this run)
| Kind | Detail | DB id |
|---|---|---|
| canonical_skill_proposed | Prototypes | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Client-side | type=Web Development subtype=Client-side Technologies nature=CONCEPT lifespan=EVERGREEN |
nano JD Parser — gpt-4.1-nano click to toggle
Show raw JSON
{
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "CredAvenue is India\u2019s first and",
"last_5_words": "new ways of digital finance."
},
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"word_count": 130
},
"certifications": [],
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},
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},
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{
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}
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{
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"word_count": 83
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
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},
{
"is_primary": true,
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{
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},
{
"is_primary": true,
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},
{
"is_primary": true,
"skill_name": "Metrics"
}
],
"jd_role": {
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"rationale": null,
"role_aliases": [
"Front-end Developer",
"UI Developer",
"Frontend Engineer"
],
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"nano_parsed": {
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"stage3_signals": {
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],
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{
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]
},
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},
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"matched_dimensions": [
"Frontend Interface Development",
"Responsive Interactive UI Implementation",
"Design-to-Prototype Translation",
"Frontend Code Maintainability",
"Client-side Scalability",
"Performance Monitoring and Optimization"
],
"matched_kras": [
"Create elegant, usable, responsive and interactive interfaces",
"Turn UI/UX designs into prototypes",
"Write reusable content modules",
"Write high-quality code",
"Participate in code reviews",
"Implement UI development principles",
"Ensure the product client-side serves at scale",
"Review and optimize app usage by monitoring key metrics"
],
"matched_skills": [
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"prototypes",
"reusable content modules",
"code reviews",
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],
"new_role_display_name": null,
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"reasoning": "Domain=Software Engineering; The JD is focused on building responsive, interactive client-side interfaces, converting UI/UX designs into prototypes, and optimizing frontend performance at scale.",
"sub_role": null
},
"stage5_updates": {
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"new_skills_attached": [
{
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"status": "pending"
},
{
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"queue_id": 5545,
"role_display_name": "Frontend Developer",
"role_slug": "frontend-engineer",
"skill_name": "Client-side",
"status": "pending"
}
],
"queue_entry_id": null,
"v3_pipeline_triggered": false,
"v3_role_slug": null,
"v3_run_id": null
}
}
API 2 — extract-details
{
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"alias_persisted": false,
"existing_alias_id": 2632,
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"input_term": "UI/UX",
"matched_canonical": {
"category_id": 37,
"display_name": "UI/UX",
"id": 1662,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "ui-ux",
"sub_category_id": 1255,
"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": 864,
"existing_alias_text": "Code Review",
"input_term": "Code Review",
"matched_canonical": {
"category_id": 58,
"display_name": "Code Review",
"id": 516,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "PRACTICE",
"slug": "code-review",
"sub_category_id": 364,
"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": 3684,
"existing_alias_text": "metrics",
"input_term": "Metrics",
"matched_canonical": {
"category_id": 2,
"display_name": "metrics",
"id": 1625,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "metrics",
"sub_category_id": 3506,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
}
],
"candidate_roles": [
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"role_archetype": "Engineering",
"slug": "kotlin-server-backend-developer",
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{
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"slug": "scala-backend-developer",
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},
{
"display_name": "ML Engineer",
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"role_archetype": null,
"slug": "ml-engineer",
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},
{
"display_name": "MLOps Engineer",
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"role_archetype": null,
"slug": "ml-ops-engineer",
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},
{
"display_name": "Go Backend Developer",
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"slug": "go-backend-developer",
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},
{
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{
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{
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{
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"slug": "node-backend-developer",
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},
{
"display_name": "PHP Backend Developer",
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"role_archetype": "Engineering",
"slug": "php-backend-developer",
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},
{
"display_name": "Cloud Architect",
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"slug": "cloud-architect",
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}
],
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"slug": "frontend-engineer",
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},
"dimensions": [
{
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},
"input_skill": "UI/UX",
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"roles_from_db": []
},
{
"dimension": {
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"display_name": "React Frontend Development",
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"slug": "d_init_01",
"source": "db"
},
"input_skill": "Code Review",
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"roles_from_db": []
},
{
"dimension": {
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"display_name": "Backend Observability, Logging, and Diagnostics",
"id": 388,
"rationale": "Instrumentation and troubleshooting practices used to understand and improve backend service behavior in production and lower environments. This includes logs, metrics, traces, alerting, dashboards, structured logging, distributed tracing, health checks, and root-cause analysis using ecosystem-specific tools such as SLF4J, Logback, Micrometer, OpenTelemetry, Prometheus, Grafana, ILogger, Serilog, and Application Insights.",
"slug": "backend-observability-logging-and-diagnostics",
"source": "db"
},
"input_skill": "Metrics",
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"roles_from_db": [
{
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},
{
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}
]
},
{
"dimension": {
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"display_name": "Experiment Tracking and Evaluation",
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"rationale": "Tools and practices for recording experiments, comparing runs, and assessing model quality before release. This dimension focuses on reproducibility, metrics, artifacts, and offline evaluation workflows.",
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},
"input_skill": "Metrics",
"llm_role": null,
"roles_from_db": [
{
"display_name": "ML Engineer",
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"slug": "ml-engineer",
"source": "db"
},
{
"display_name": "MLOps Engineer",
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"role_archetype": null,
"slug": "ml-ops-engineer",
"source": "db"
}
]
},
{
"dimension": {
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"display_name": "Observability and Diagnostics",
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"slug": "observability-and-diagnostics",
"source": "db"
},
"input_skill": "Metrics",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Go Backend Developer",
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"slug": "go-backend-developer",
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},
{
"display_name": "Java Backend Developer",
"id": 79,
"rationale": null,
"role_archetype": "Engineering",
"slug": "java-backend-developer",
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},
{
"display_name": "Python Backend Developer",
"id": 80,
"rationale": null,
"role_archetype": "Engineering",
"slug": "python-backend-developer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Observability and Incident Response",
"id": 10,
"rationale": "Instrumentation and production troubleshooting practices used to keep backend services reliable. Includes logs, metrics, traces, alerting, dashboards, and incident diagnosis.",
"slug": "observability-and-incident-response",
"source": "db"
},
"input_skill": "Metrics",
"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"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Observability and Operations",
"id": 143,
"rationale": "Monitoring, logging, tracing, and operational readiness patterns used to keep cloud platforms supportable. Cloud Architects use this to define what telemetry and operational controls workloads must expose.",
"slug": "observability-and-operations",
"source": "db"
},
"input_skill": "Metrics",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Cloud Architect",
"id": 9,
"rationale": null,
"role_archetype": null,
"slug": "cloud-architect",
"source": "db"
}
]
}
],
"input_final_skills": [
"UI/UX",
"Prototypes",
"Code Review",
"Client-side",
"Metrics"
],
"input_llm_skills": [
"UI/UX",
"Prototypes",
"Code Review",
"Client-side",
"Metrics"
],
"new_aliases_persisted": 0,
"run_id": "d218e9df-065b-433b-a3ba-dd377cd3e6bf",
"skills_detail": [
{
"aliases_in_db": [
{
"alias_text": "UI/UX",
"alias_type": "CANONICAL",
"id": 2632,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 37,
"display_name": "UI/UX",
"id": 1662,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "ui-ux",
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"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
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"display_name": "React Frontend Development",
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"slug": "d_init_01",
"source": "db"
},
"input_skill": "UI/UX",
"llm_role": null,
"roles_from_db": []
}
],
"input_skill": "UI/UX",
"matched_via": "alias",
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": null,
"source_tag": "db",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Prototypes",
"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": "prototypes",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "Code Review",
"alias_type": "CANONICAL",
"id": 864,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 58,
"display_name": "Code Review",
"id": 516,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "PRACTICE",
"slug": "code-review",
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"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "React Frontend Development",
"id": 96,
"rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
"slug": "d_init_01",
"source": "db"
},
"input_skill": "Code Review",
"llm_role": null,
"roles_from_db": []
}
],
"input_skill": "Code Review",
"matched_via": "alias",
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": null,
"source_tag": "db",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Client-side",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Web Development",
"skill_nature": "CONCEPT",
"sub_category": "Client-side Technologies",
"typical_lifespan": "EVERGREEN",
"version_strategy": "UNVERSIONED",
"volatility": "STABLE"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "client-side",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "metrics",
"alias_type": "CANONICAL",
"id": 3684,
"is_primary": true,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Metrics",
"alias_type": "CANONICAL",
"id": 2580,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 2,
"display_name": "metrics",
"id": 1625,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "metrics",
"sub_category_id": 3506,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Backend Observability, Logging, and Diagnostics",
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"rationale": "Instrumentation and troubleshooting practices used to understand and improve backend service behavior in production and lower environments. This includes logs, metrics, traces, alerting, dashboards, structured logging, distributed tracing, health checks, and root-cause analysis using ecosystem-specific tools such as SLF4J, Logback, Micrometer, OpenTelemetry, Prometheus, Grafana, ILogger, Serilog, and Application Insights.",
"slug": "backend-observability-logging-and-diagnostics",
"source": "db"
},
"input_skill": "Metrics",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Kotlin Backend Developer",
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"rationale": null,
"role_archetype": "Engineering",
"slug": "kotlin-server-backend-developer",
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},
{
"display_name": "Scala Backend Developer",
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"rationale": null,
"role_archetype": "Engineering",
"slug": "scala-backend-developer",
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}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
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"rationale": "Tools and practices for recording experiments, comparing runs, and assessing model quality before release. This dimension focuses on reproducibility, metrics, artifacts, and offline evaluation workflows.",
"slug": "experiment-tracking-and-evaluation",
"source": "db"
},
"input_skill": "Metrics",
"llm_role": null,
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{
"display_name": "ML Engineer",
"id": 3,
"rationale": null,
"role_archetype": null,
"slug": "ml-engineer",
"source": "db"
},
{
"display_name": "MLOps Engineer",
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"rationale": null,
"role_archetype": null,
"slug": "ml-ops-engineer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Observability and Diagnostics",
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"rationale": "Instrumentation and troubleshooting practices used to understand Java service behavior in production and lower environments. This cluster covers logs, metrics, traces, correlation IDs, and root-cause analysis from service telemetry.",
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"source": "db"
},
"input_skill": "Metrics",
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"roles_from_db": [
{
"display_name": "Go Backend Developer",
"id": 81,
"rationale": null,
"role_archetype": "Engineering",
"slug": "go-backend-developer",
"source": "db"
},
{
"display_name": "Java Backend Developer",
"id": 79,
"rationale": null,
"role_archetype": "Engineering",
"slug": "java-backend-developer",
"source": "db"
},
{
"display_name": "Python Backend Developer",
"id": 80,
"rationale": null,
"role_archetype": "Engineering",
"slug": "python-backend-developer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Observability and Incident Response",
"id": 10,
"rationale": "Instrumentation and production troubleshooting practices used to keep backend services reliable. Includes logs, metrics, traces, alerting, dashboards, and incident diagnosis.",
"slug": "observability-and-incident-response",
"source": "db"
},
"input_skill": "Metrics",
"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"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Observability and Operations",
"id": 143,
"rationale": "Monitoring, logging, tracing, and operational readiness patterns used to keep cloud platforms supportable. Cloud Architects use this to define what telemetry and operational controls workloads must expose.",
"slug": "observability-and-operations",
"source": "db"
},
"input_skill": "Metrics",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Cloud Architect",
"id": 9,
"rationale": null,
"role_archetype": null,
"slug": "cloud-architect",
"source": "db"
}
]
}
],
"input_skill": "Metrics",
"matched_via": "alias",
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": null,
"source_tag": "db",
"was_in_llm_skills": true
}
],
"unmatched_skills": [
"Prototypes",
"Client-side"
]
}
API 3 — final-role-output
{
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"id": 7,
"rationale": "Domain=Software Engineering; The JD is focused on building responsive, interactive client-side interfaces, converting UI/UX designs into prototypes, and optimizing frontend performance at scale.",
"role_archetype": null,
"slug": "frontend-engineer",
"source": "db"
},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
"skill": "UI/UX",
"tag": "in_db"
},
{
"skill": "Prototypes",
"tag": "new"
},
{
"skill": "Code Review",
"tag": "in_db"
},
{
"skill": "Client-side",
"tag": "new"
},
{
"skill": "Metrics",
"tag": "in_db"
}
],
"llm_cost_api1_usd": null,
"llm_cost_api2_usd": null,
"llm_cost_api3_usd": null,
"llm_cost_total_usd": null,
"persistence": {
"items": [
{
"chosen_role_id": 7,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "React Frontend Development",
"id": 96,
"rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
"slug": "d_init_01",
"source": "db"
},
"dimension_id": 96,
"input_skill": "UI/UX",
"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": [],
"skill_dimension_saved": true,
"skill_id": 1662,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 7,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "React Frontend Development",
"id": 96,
"rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
"slug": "d_init_01",
"source": "db"
},
"dimension_id": 96,
"input_skill": "Code Review",
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}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.