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Pipeline run

79a9599c-44be-4940-9e4a-c946d8a98f91

Pipeline LLM cost (USD)
API 1: $0.0025 API 2: $0.0003 API 3: $0.0000 Total: $0.0028

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
SPARSE JD sources · ai_index: jd · nature_of_work: jd · tech_stack_maturity: jd
Nature of work · API/integration development
Designs and builds Mule 4 APIs and integrations end to end: create RAML/DataWeave-based API-led services, reusable components, error handling and MUnit tests, plus connectors to Salesforce/SAP/databases and CI/CD pipelines.
"Design and develop new APIs and integrations using Mule 4, RAML, and DataWeave."
Tech stack maturity
Mainstream Modern
MuleSoft development with CI/CD, MUnit, and Salesforce integration is a widely adopted enterprise integration stack that is modern but not bleeding-edge or fully cloud-native by default.
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 (10)
Mule 4 RAML DataWeave MUnit Salesforce SAP CI/CD MuleSoft Anypoint Platform API-led Connectivity Code Review
Skill cluster (1 dimension groups, role-scoped)
Cross-cutting / unaligned
Mule 4 RAML DataWeave MUnit Salesforce SAP CI/CD MuleSoft Anypoint Platform API-led Connectivity Code Review
Show KRA description ↓
Design and develop new APIs and integrations using Mule 4, RAML, and DataWeave. Build API-led connectivity (System, Process, Experience APIs) from scratch. Write reusable components, implement error handling, and develop unit tests (MUnit). Develop connectors to Salesforce, SAP, and databases. Implement CI/CD pipelines for Mule applications. Code reviews and follow integration best practices. Strong hands-on development experience with MuleSoft Anypoint Platform and Mule 4. Expertise building APIs and DataWeave transformations.

Signals

Skill backend-engineer
0.11
Alias backend-engineer
1.00
KRA react-native-developer
0.57
Status: completed Created: 2026-06-14T22:02:47.267540Z Updated: 2026-06-20T17:06:51.640821Z API 3 duration: 3156 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

MuleSoft Developer

CASE A

slug: mulesoft-developer · id: 113 · source: db

Multi-alias tie (3 roles at 1.0) resolved by TIER_B_TITLE: MuleSoft Developer

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

MuleSoft Developer

We are hiring a MuleSoft Developer to design and build new integrations on the Anypoint Platform.

Responsibilities:
Design and develop new APIs and integrations using Mule 4, RAML, and DataWeave.
Build API-led connectivity (System, Process, Experience APIs) from scratch.
Write reusable components, implement error handling, and develop unit tests (MUnit).
Develop connectors to Salesforce, SAP, and databases.
Implement CI/CD pipelines for Mule applications.
Code reviews and follow integration best practices.

Required:
Strong hands-on development experience with MuleSoft Anypoint Platform and Mule 4.
Expertise building APIs and DataWeave transformations.
MuleSoft Certified Developer Level 1.

Skills from this JD

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

Mule 4 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
Integration Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
RAML 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
API Specifications
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
DataWeave 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
Data Transformation Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
MUnit Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: MUnit id=4493 · munit

Aliases — catalog

  • MUnit (CANONICAL) primary

Context tags (catalog)

JUnit assertions code coverage dependency injection integration testing mocking parameterized tests setup method tear down test cases test fixtures test runner test suite test-driven development unit tests

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Testing Framework
Vendor
MuleSoft
License
apache_2
Year introduced
2014
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: MUnit appears in MuleSoft/Anypoint testing JDs, but JD volume is far lower than mainstream frameworks like JUnit or pytest, indicating a specialized ecosystem tool rather than broad market adoption.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
770
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Testing and Quality Assurance Catalog dimension db id 12

    Library dimension (catalog)

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

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Testing and Quality Assurance
testing-and-quality-assurance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Salesforce Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Salesforce id=4632 · salesforce

Aliases — catalog

  • Salesforce (CANONICAL) primary

Context tags (catalog)

API Integration Apex AppExchange Custom Objects Data Loader Einstein Analytics Lightning Process Builder SOQL SObject Sales Cloud Service Cloud Trailhead Visualforce Workflow Rules

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Saas Platform
Vendor
Salesforce, Inc.
License
proprietary
Year introduced
1999
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Salesforce appears in large volumes of enterprise job postings across sales, admin, and developer roles, and its AppExchange/ecosystem remains actively supported by the vendor.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
3633
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • 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
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SAP 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
Enterprise Resource Planning
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
CI/CD Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: CI/CD id=1190 · ci-cd

Aliases — catalog

  • CI/CD (CANONICAL)

Context tags (catalog)

Ansible CircleCI Docker GitLab CI Jenkins Kubernetes Terraform Travis CI automated testing build automation continuous deployment continuous integration deployment pipelines monitoring version control

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Ci Cd Process
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: CI/CD appears in a large share of software engineering JDs and is a standard requirement across DevOps, platform, and backend roles; major vendors like GitHub, GitLab, and AWS all center product roadmaps on CI/CD pipelines.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
900
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

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

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
MuleSoft Anypoint Platform 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
Integration Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
API-led Connectivity 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
Integration Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Code Review Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Code Review id=516 · code-review

Aliases — catalog

  • Code Review (CANONICAL)

Context tags (catalog)

Bitbucket GitHub GitLab PR review approval workflow branch protection code quality diff inline comments linting merge request pair programming pull request review checklist static analysis

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)

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
MUnit in_db
Testing and Quality Assurance
testing-and-quality-assurance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Salesforce in_db
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Code Review in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Mule 4 | type=Integration Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed RAML | type=API Specifications subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed DataWeave | type=Data Transformation Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed SAP | type=Enterprise Resource Planning subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed MuleSoft Anypoint Platform | type=Integration Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed API-led Connectivity | type=Integration Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RoleMuleSoft Developer
DomainIT Services & Consulting
JD type pass

Certifications

MuleSoft Certified Developer Level 1
Show raw JSON
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  "roles_and_responsibilities": [
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  "urls": []
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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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          },
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API 2 — extract-details
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          "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",
        "sub_category_id": 364,
        "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
    }
  ],
  "unmatched_skills": [
    "Mule 4",
    "RAML",
    "DataWeave",
    "SAP",
    "MuleSoft Anypoint Platform",
    "API-led Connectivity"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "MuleSoft Developer",
    "id": 113,
    "rationale": "Multi-alias tie (3 roles at 1.0) resolved by TIER_B_TITLE: MuleSoft Developer",
    "role_archetype": null,
    "slug": "mulesoft-developer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Mule 4",
      "tag": "new"
    },
    {
      "skill": "RAML",
      "tag": "new"
    },
    {
      "skill": "DataWeave",
      "tag": "new"
    },
    {
      "skill": "MUnit",
      "tag": "in_db"
    },
    {
      "skill": "Salesforce",
      "tag": "in_db"
    },
    {
      "skill": "SAP",
      "tag": "new"
    },
    {
      "skill": "CI/CD",
      "tag": "in_db"
    },
    {
      "skill": "MuleSoft Anypoint Platform",
      "tag": "new"
    },
    {
      "skill": "API-led Connectivity",
      "tag": "new"
    },
    {
      "skill": "Code Review",
      "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": 113,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Testing and Quality Assurance",
          "id": 12,
          "rationale": "Backend-specific test strategies used to validate service behavior and integration points. Covers automated test layers, contract checks, fixtures, and regression prevention.",
          "slug": "testing-and-quality-assurance",
          "source": "db"
        },
        "dimension_id": 12,
        "input_skill": "MUnit",
        "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"
          },
          {
            "display_name": "Scala Backend Developer",
            "id": 87,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "scala-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 4493,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 113,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Vendor Product Families",
          "id": 477,
          "rationale": "Coordinate usage, licensing, and architecture decisions for major vendor software and cloud product families.",
          "slug": "vendor-product-families",
          "source": "db"
        },
        "dimension_id": 477,
        "input_skill": "Salesforce",
        "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": "Engineering Manager",
            "id": 121,
            "rationale": null,
            "role_archetype": null,
            "slug": "engineering-manager",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 4632,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 113,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "CI/CD Pipeline Platforms",
          "id": 150,
          "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
          "slug": "ci-cd-pipeline-platforms",
          "source": "db"
        },
        "dimension_id": 150,
        "input_skill": "CI/CD",
        "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": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1190,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 113,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "CI/CD for Machine Learning",
          "id": 56,
          "rationale": "Tools and platforms for automating ML model integration, testing, and deployment pipelines.",
          "slug": "ci-cd-for-machine-learning",
          "source": "db"
        },
        "dimension_id": 56,
        "input_skill": "CI/CD",
        "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": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1190,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 113,
        "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",
        "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": 516,
        "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": "79a9599c-44be-4940-9e4a-c946d8a98f91"
}

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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