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Pipeline run

3a907934-e4e2-4339-ae02-b91d284d3372

Pipeline LLM cost (USD)
API 1: $0.0078 API 2: $0.0003 API 3: $0.0000 Total: $0.0081

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · QA / Test Engineering
Design and run test strategy, automation, and release-readiness checks for software components, then investigate defects and performance issues using logs, profiling, benchmarks, and root-cause analysis to improve product quality.
""Design and develop comprehensive test strategies, frameworks, and methodologies""
Tech stack maturity
Mainstream Modern
An SDET focused on distributed-systems and profiling typically works with established, widely adopted engineering practices and tooling rather than legacy-only or bleeding-edge AI-native 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 (8)
Test Strategy Test Frameworks Test Methodologies Automated Testing Test Cases Distributed Systems Profiling Benchmarks
Skill cluster (3 dimension groups, role-scoped)
Debugging and Performance Tuning
Profiling
Performance and Scalability Tuning
Distributed Systems
Cross-cutting / unaligned
Test Strategy Test Frameworks Test Methodologies Automated Testing Test Cases Benchmarks
Show KRA description ↓
• Design and develop comprehensive test strategies, frameworks, and methodologies to ensure software quality and reliability, while collaborating with cross-functional teams to align on quality requirements. • Define release planning and assess software readiness for production deployment. • Implement and maintain automated testing frameworks, and create, maintain, and execute test cases, scripts, and scenarios across software components. • Identify and document defects, issues, and areas for improvement in the software development process, and perform root cause analysis to resolve complex problems and enhance product quality. • Diagnose performance bottlenecks by analyzing application logs, source code, and profiling data, and run experiments and benchmarks to evaluate distributed system performance. • Work with component teams to identify pain points and provide technical guidance to improve their areas. • Stay current with industry trends, emerging technologies, and QA best practices to continuously improve testing processes.

Signals

Skill full-stack-engineer
0.25
Alias backend-engineer
1.00
KRA backend-engineer
0.56

Post-classification

Centroidupdated · n=7
Alias collision log
New-role queue
New skills captured6
New KRA capturedyes

Captured for admin review

Test Strategy primary SDET pending
Test Frameworks primary SDET pending
Test Methodologies primary SDET pending
Automated Testing primary SDET pending
Test Cases primary SDET pending
Benchmarks primary SDET pending
R&R fragment (sim 0.00) SDET pending

• Design and develop comprehensive test strategies, frameworks, and methodologies to ensure software quality and reliability, while collaborating with cross-functional teams to align on quality requir…

Status: completed Created: 2026-05-27T14:10:08.481097Z Updated: 2026-05-27T14:11:45.204271Z API 3 duration: 19453 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

SDET

domain · Testing & Quality CASE DOMAIN

slug: sdet · id: 66 · source: db

Domain=Testing & Quality; The JD centers on designing test strategies, building and maintaining automated testing frameworks, executing test cases, and improving software quality across components, which best matches an SDET.

Matched skills

test strategiesframeworksmethodologiesautomated testing frameworkstest casesscriptsscenariosroot cause analysisapplication logssource codeprofiling dataexperiments and benchmarksdistributed system performancerelease planning

Matched dimensions

Test Strategy and Quality EngineeringTest Automation Framework DevelopmentRelease Readiness and Deployment ValidationDefect Analysis and Root Cause InvestigationPerformance Diagnosis and BenchmarkingCross-functional CollaborationContinuous QA Process Improvement

Matched KRAs

Design and develop comprehensive test strategies, frameworks, and methodologiesDefine release planning and assess software readiness for production deploymentImplement and maintain automated testing frameworksCreate, maintain, and execute test cases, scripts, and scenariosIdentify and document defects, issues, and areas for improvementPerform root cause analysis to resolve complex problemsDiagnose performance bottlenecks by analyzing application logsRun experiments and benchmarks to evaluate distributed system performanceWork with component teams to identify pain pointsProvide technical guidance to improve their areas

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

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

Job description

Have you ever imagined a world with an infinite amount of storage available and accessible to everyone? A place where everyone in the world can easily access their data from anywhere at any time via any means (e.g., mobile phones, tablets, PCs, smart devices, etc.). Did you ever desire a universally accessible storage system to record all the knowledge known to mankind or to store all the data collected from all the scientists in the world for them to collaborate upon? Do you want to be part of a team that strives to bring these to reality?

If so, the Microsoft Azure Storage team is what you are looking for. We are building Microsoft’s cloud storage solution - Microsoft Azure Storage, which is a massively scalable, highly distributed, ubiquitously accessible storage system, designed to scale out and serve the entire world. We continue to have tremendous hockey stick growth, we have many Exabyte’s of data stored, and are designing and building systems for Zettabyte scale to support demand growth for the coming years.

As a Software Engineer - Test and Senior SDET in the Azure Storage team, you will be involved in the testing and implementation of automated testing solutions for highly scalable, performant services that deliver highly reliable, secure and available access to storage for our customers. You will face challenges of monitoring, analyzing, and designing for ever-growing data needs of our customers and for ensuring data privacy, protection and compliance. This opportunity will allow you to develop your technical skills in cloud services and storage, accelerate career growth, and provide an opportunity to work in a highly dynamic, flexible, and globally distributed team.

We are looking for a Software Engineer II who is a self-starter with enthusiasm for learning and bringing fresh ideas to build high quality products. You will have opportunities to work on fast-paced teams and make high impact changes on a daily basis as you build world class services.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Design and develop comprehensive test strategies, frameworks, and methodologies to ensure software quality and reliability, while collaborating with cross-functional teams to align on quality requirements.
• Define release planning and assess software readiness for production deployment.
• Implement and maintain automated testing frameworks, and create, maintain, and execute test cases, scripts, and scenarios across software components.
• Identify and document defects, issues, and areas for improvement in the software development process, and perform root cause analysis to resolve complex problems and enhance product quality.
• Diagnose performance bottlenecks by analyzing application logs, source code, and profiling data, and run experiments and benchmarks to evaluate distributed system performance.
• Work with component teams to identify pain points and provide technical guidance to improve their areas.
• Stay current with industry trends, emerging technologies, and QA best practices to continuously improve testing processes.


Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python
• OR equivalent experience.
• 1+ year(s) experience in software engineering practices, coding with strong testing, debugging and analytical skills.
• 1+ year(s) proficiency of software Quality Assurance (QA) and Performance methodologies, tools, and processes.
• 1+ year(s) of demonstrated ability to plan, schedule and deliver quality software.

Other Requirements

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:  Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.


Preferred Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python.
• OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python OR equivalent experience. 
• 1+ year(s) experience in building quality products and services preferably in distributed systems.

Note : By applying to this open posiiton you will be assesed for multiple similar role which require similar competencies.

#azurecorejobs

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Skills from this JD

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

Test Strategy Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Testing Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Test Frameworks Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Testing Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Test Methodologies Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

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

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Testing Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Test Cases Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Testing Tools
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Distributed Systems Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Distributed Systems id=1369 · distributed-systems

Aliases — catalog

  • Distributed Systems (CANONICAL)

Context tags (catalog)

CAP theorem Docker Swarm Kafka MapReduce Zookeeper consensus algorithms distributed databases eventual consistency fault tolerance gRPC load balancing message queues microservices replication sharding

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Distributed Systems
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common hiring requirement in backend/platform JDs at large tech firms; appears across AWS, Kafka, microservices, and systems roles, with strong GitHub/Stack Overflow activity and no sunset signal.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1035
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

  • 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

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Performance and Scalability Tuning
performance-and-scalability-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Profiling Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: profiling id=51 · profiling

Aliases — catalog

  • profiling (CANONICAL) primary
  • Profiling (CANONICAL)

Context tags (catalog)

CPU profiling CPU usage CPU_usage application performance benchmarking bottleneck bottleneck analysis bottleneck identification call graph call stack call_graph code instrumentation code optimization debugging execution time execution_time flame graph gprof heap dump hot path hotspots instrumentation latency load testing memory allocation memory profiling memory usage memory_leak optimization optimization techniques overhead analysis performance analysis performance bottlenecks performance metrics performance tuning performance_bottlenecks performance_metrics performance_tuning profiling frameworks profiling metrics profiling tools profiling_tools resource allocation resource monitoring resource utilization resource_usage runtime analysis sampling throughput tracing valgrind visualization

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Profiling
Confidence
0.88
Version strategy
NOT_APPLICABLE

Maturity reasoning: Profiling is a standard performance-engineering skill; it appears in many software JDs alongside debugging and optimization, and major tools like perf, pprof, and Visual Studio Profiler are widely used.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
2503
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Backend Performance Tuning Catalog dimension db id 283

    Library dimension (catalog)

    Roles linked in library: Java Backend Developer, Ruby Backend Developer

  • Backend Service Performance and Scalability Tuning Catalog dimension db id 389

    Library dimension (catalog)

    Roles linked in library: Kotlin Backend Developer, Scala Backend Developer

  • Codec Performance Benchmarking Catalog dimension db id 238

    Library dimension (catalog)

    Roles linked in library: Video Codec Engineer

  • Debugging and Performance Tuning Catalog dimension db id 219

    Library dimension (catalog)

    Roles linked in library: Fullstack Developer

  • Performance and Rendering Optimization Catalog dimension db id 124

    Library dimension (catalog)

    Roles linked in library: Angular Frontend Developer, Flutter Developer, Frontend Developer, Ionic Developer, React Frontend Developer, React Native Developer, Web Developer

  • Performance and Resource Tuning Catalog dimension db id 373

    Library dimension (catalog)

    Roles linked in library: Go Backend Developer

  • 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
Backend Performance Tuning
backend-performance-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Backend Service Performance and Scalability Tuning
backend-service-performance-and-scalability-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Codec Performance Benchmarking
codec-performance-benchmarking
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Debugging and Performance Tuning
debugging-and-performance-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Performance and Rendering Optimization
performance-and-rendering-optimization
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Performance and Resource Tuning
performance-and-resource-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Performance and Scalability Tuning
performance-and-scalability-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Benchmarks Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Testing Tools
Sub-category
general
Skill nature
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
Distributed Systems in_db
Cloud Platforms
cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Distributed Systems in_db
Performance and Scalability Tuning
performance-and-scalability-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Distributed Systems in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Profiling in_db
Backend Performance Tuning
backend-performance-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Profiling in_db
Backend Service Performance and Scalability Tuning
backend-service-performance-and-scalability-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Profiling in_db
Codec Performance Benchmarking
codec-performance-benchmarking
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Profiling in_db
Debugging and Performance Tuning
debugging-and-performance-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Profiling in_db
Performance and Rendering Optimization
performance-and-rendering-optimization
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Profiling in_db
Performance and Resource Tuning
performance-and-resource-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Profiling in_db
Performance and Scalability Tuning
performance-and-scalability-tuning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Test Strategy | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Test Frameworks | type=Testing Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Test Methodologies | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Automated Testing | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Test Cases | type=Testing Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Benchmarks | type=Testing Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RoleSoftware Engineer - Test and Senior SDET
CompanyMicrosoft
Experience4+ years technical engineering experience
DomainIT Services & Consulting
JD type pass
Show raw JSON
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API 1 — extract-from-jd click to toggle
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  "stage3_signals": {
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    "alias_match_roles": [
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        "kra_matches": null,
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    "skill_match_roles": [
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}
API 2 — extract-details
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        "skill_nature": "CONCEPT",
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      "matched_via": "alias"
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              "id": 90,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "angular-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Flutter Developer",
              "id": 74,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "flutter-developer",
              "source": "db"
            },
            {
              "display_name": "Frontend Developer",
              "id": 7,
              "rationale": null,
              "role_archetype": null,
              "slug": "frontend-engineer",
              "source": "db"
            },
            {
              "display_name": "Ionic Developer",
              "id": 434,
              "rationale": null,
              "role_archetype": null,
              "slug": "ionic-developer",
              "source": "db"
            },
            {
              "display_name": "React Frontend Developer",
              "id": 89,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "react-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "React Native Developer",
              "id": 73,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "react-native-developer",
              "source": "db"
            },
            {
              "display_name": "Web Developer",
              "id": 25,
              "rationale": null,
              "role_archetype": null,
              "slug": "web-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Performance and Resource Tuning",
            "id": 373,
            "rationale": "Improving throughput, latency, memory use, and CPU efficiency in Go backend services. This cluster is coherent because Go developers often profile hot paths, reduce allocations, and tune concurrency to meet service SLOs.",
            "slug": "performance-and-resource-tuning",
            "source": "db"
          },
          "input_skill": "Profiling",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Go Backend Developer",
              "id": 81,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "go-backend-developer",
              "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": "Profiling",
          "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": "Profiling",
      "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": "Benchmarks",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Testing Tools",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "benchmarks",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Test Strategy",
    "Test Frameworks",
    "Test Methodologies",
    "Automated Testing",
    "Test Cases",
    "Benchmarks"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "SDET",
    "id": 66,
    "rationale": "Domain=Testing \u0026 Quality; The JD centers on designing test strategies, building and maintaining automated testing frameworks, executing test cases, and improving software quality across components, which best matches an SDET.",
    "role_archetype": null,
    "slug": "sdet",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Test Strategy",
      "tag": "new"
    },
    {
      "skill": "Test Frameworks",
      "tag": "new"
    },
    {
      "skill": "Test Methodologies",
      "tag": "new"
    },
    {
      "skill": "Automated Testing",
      "tag": "new"
    },
    {
      "skill": "Test Cases",
      "tag": "new"
    },
    {
      "skill": "Distributed Systems",
      "tag": "in_db"
    },
    {
      "skill": "Profiling",
      "tag": "in_db"
    },
    {
      "skill": "Benchmarks",
      "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": 66,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Platforms",
          "id": 20,
          "rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
          "slug": "cloud-platforms",
          "source": "db"
        },
        "dimension_id": 20,
        "input_skill": "Distributed Systems",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": ".NET Backend Developer",
            "id": 83,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "dotnet-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Backend Developer",
            "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": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          },
          {
            "display_name": "Data Engineer",
            "id": 2,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-engineer",
            "source": "db"
          },
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          },
          {
            "display_name": "Go Backend Developer",
            "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": "Kotlin Backend Developer",
            "id": 84,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "kotlin-server-backend-developer",
            "source": "db"
          },
          {
            "display_name": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          },
          {
            "display_name": "MLOps Engineer",
            "id": 16,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-ops-engineer",
            "source": "db"
          },
          {
            "display_name": "Node.js Backend Developer",
            "id": 82,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "node-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Python Backend Developer",
            "id": 80,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "python-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Scala Backend Developer",
            "id": 87,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "scala-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1369,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 66,
        "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"
        },
        "dimension_id": 11,
        "input_skill": "Distributed Systems",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": ".NET Backend Developer",
            "id": 83,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "dotnet-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Backend Developer",
            "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"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1369,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 66,
        "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": "Distributed Systems",
        "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": 1369,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 66,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Backend Performance Tuning",
          "id": 283,
          "rationale": "Techniques for improving throughput, latency, and resource efficiency in Java services. This cluster focuses on profiling, memory behavior, hot paths, and reducing bottlenecks in request processing and persistence.",
          "slug": "backend-performance-tuning",
          "source": "db"
        },
        "dimension_id": 283,
        "input_skill": "Profiling",
        "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": "Java Backend Developer",
            "id": 79,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "java-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Ruby Backend Developer",
            "id": 85,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "ruby-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 51,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 66,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Backend Service Performance and Scalability Tuning",
          "id": 389,
          "rationale": "Techniques for improving throughput, latency, and resource efficiency in backend services across runtimes. This includes profiling and bottleneck analysis, benchmarking, load testing, allocation and GC tuning, async and contention analysis, and query/connection efficiency using platform-appropriate tools such as JFR or BenchmarkDotNet.",
          "slug": "backend-service-performance-and-scalability-tuning",
          "source": "db"
        },
        "dimension_id": 389,
        "input_skill": "Profiling",
        "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": "Kotlin Backend Developer",
            "id": 84,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "kotlin-server-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Scala Backend Developer",
            "id": 87,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "scala-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 51,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 66,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Codec Performance Benchmarking",
          "id": 238,
          "rationale": "Measurement and profiling practices used to compare codec implementations and tune resource usage. Engineers rely on this to quantify speed, memory, and quality tradeoffs across builds and platforms.",
          "slug": "codec-performance-benchmarking",
          "source": "db"
        },
        "dimension_id": 238,
        "input_skill": "Profiling",
        "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": "Video Codec Engineer",
            "id": 22,
            "rationale": null,
            "role_archetype": null,
            "slug": "video-codec-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 51,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 66,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Debugging and Performance Tuning",
          "id": 219,
          "rationale": "Feature-level troubleshooting and optimization across client-server interactions. Full stack engineers use this to diagnose latency, correctness, and reliability issues that span multiple layers.",
          "slug": "debugging-and-performance-tuning",
          "source": "db"
        },
        "dimension_id": 219,
        "input_skill": "Profiling",
        "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": "Fullstack Developer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 51,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 66,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Performance and Rendering Optimization",
          "id": 124,
          "rationale": "Techniques for improving responsiveness, startup time, memory use, and smooth UI updates in Ionic apps. Ionic developers need this to keep shared experiences fast across webviews and browser runtimes.",
          "slug": "performance-and-rendering-optimization",
          "source": "db"
        },
        "dimension_id": 124,
        "input_skill": "Profiling",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Angular Frontend Developer",
            "id": 90,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "angular-frontend-developer",
            "source": "db"
          },
          {
            "display_name": "Flutter Developer",
            "id": 74,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "flutter-developer",
            "source": "db"
          },
          {
            "display_name": "Frontend Developer",
            "id": 7,
            "rationale": null,
            "role_archetype": null,
            "slug": "frontend-engineer",
            "source": "db"
          },
          {
            "display_name": "Ionic Developer",
            "id": 434,
            "rationale": null,
            "role_archetype": null,
            "slug": "ionic-developer",
            "source": "db"
          },
          {
            "display_name": "React Frontend Developer",
            "id": 89,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "react-frontend-developer",
            "source": "db"
          },
          {
            "display_name": "React Native Developer",
            "id": 73,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "react-native-developer",
            "source": "db"
          },
          {
            "display_name": "Web Developer",
            "id": 25,
            "rationale": null,
            "role_archetype": null,
            "slug": "web-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 51,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 66,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Performance and Resource Tuning",
          "id": 373,
          "rationale": "Improving throughput, latency, memory use, and CPU efficiency in Go backend services. This cluster is coherent because Go developers often profile hot paths, reduce allocations, and tune concurrency to meet service SLOs.",
          "slug": "performance-and-resource-tuning",
          "source": "db"
        },
        "dimension_id": 373,
        "input_skill": "Profiling",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Go Backend Developer",
            "id": 81,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "go-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 51,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 66,
        "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"
        },
        "dimension_id": 11,
        "input_skill": "Profiling",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": ".NET Backend Developer",
            "id": 83,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "dotnet-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Backend Developer",
            "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"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 51,
        "skill_tag": "in_db",
        "skipped_reason": null
      }
    ],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 0
  },
  "planner_output": null,
  "run_id": "3a907934-e4e2-4339-ae02-b91d284d3372"
}

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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