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Pipeline run

eaa9e499-e691-403f-9b3c-3e58ad850b1e

Pipeline LLM cost (USD)
API 1: $0.0099 API 2: $0.0002 API 3: $0.0000 Total: $0.0102

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Automation / Scripting
Build and maintain automation scripts, validate config changes, and troubleshoot failed jobs/processes using Linux, Control-M, Splunk, and ad-hoc DB checks. Also perform log analysis, root-cause failures, and adjust existing automated solutions.
"Design and implement custom scripts"
Tech stack maturity
Mainstream Modern
MySQL, Python, and Splunk are widely adopted mainstream technologies commonly used in modern DevOps environments, though they are not specifically cloud-native or bleeding-edge.
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)
Shell Scripting Linux Control-M Sybase Oracle MySQL Splunk Python
Skill cluster (4 dimension groups, role-scoped)
Observability and Incident Triage
Splunk
Python Programming
Python
Relational Database Usage
MySQL
Cross-cutting / unaligned
Shell Scripting Linux Control-M Sybase Oracle
Show KRA description ↓
o A : Design and implement custom scripts, Test and validate the custom scripts Provision and implement configuration changes o B :Troubleshoot process execution problems and work with other team members for any fix and validate o C :Maintain and adjust existing automated solutions o D :To understand requirements for new automation tasks o E:Anticipate potential points of failure database communication points, file system errors, etc A : Knowledge on Shell Scripting B : Use Linux Commands to Log Analysis/Job failure RCA and Perf checks of server including space, CPU utilization, Process check, etc, C: Knowledge on Control-M to check/setup the jobs D: Knowledge on DB like Sybase, Oracle, MySQL to perform Ad-hoc query E: Log Analysis using Splunk F: Python Scripting to perform the Automation Excellent Communication Skill

Signals

Skill full-stack-engineer
0.25
Alias backend-engineer
1.00
KRA devops-engineer
0.42

Post-classification

Centroidupdated · n=51
Alias collision log
New-role queue
New skills captured5
New KRA captured

Captured for admin review

Shell Scripting primary DevOps Engineer pending
Linux primary DevOps Engineer pending
Control-M primary DevOps Engineer pending
Sybase primary DevOps Engineer pending
Oracle primary DevOps Engineer pending
Status: completed Created: 2026-05-27T13:49:31.955337Z Updated: 2026-05-27T13:50:49.608500Z API 3 duration: 23858 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

DevOps Engineer

Infrastructure Automation Engineer

sub-role · 0.93 domain · DevOps & Platform CASE DOMAIN

slug: devops-engineer · id: 10 · source: db · sub-role slug: infrastructure-automation-engineer

Domain=DevOps & Platform → sub-role infrastructure-automation-engineer; The JD focuses on scripting, job automation, troubleshooting failures, Linux/server checks, Control-M, databases, and log analysis, which aligns best with DevOps-style production automation and support responsibilities.

Matched skills

Shell ScriptingLinux CommandsControl-MSybaseOracleMySQLSplunkPython Scripting

Matched dimensions

Automation Script DevelopmentProduction TroubleshootingJob Scheduling and OrchestrationLog Analysis and RCAServer Health ChecksDatabase Query SupportOperational Support Communication

Matched KRAs

Design and implement custom scriptsTest and validate the custom scriptsTroubleshoot process execution problemsMaintain and adjust existing automated solutionsUnderstand requirements for new automation tasksAnticipate potential points of failureLog Analysis/Job failure RCA and Perf checks of serverUse Control-M to check/setup the jobs

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

About Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services-all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 674,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com  Accenture | Let there be change We embrace change to create 360-degree value www.accenture.com

Project Role :Application Developer

Project Role Description :Design, build and configure applications to meet business process and application requirements.

Management Level :9

Work Experience :6-8 years

Work location :Chennai

Must Have Skills :C Programming Language

Good To Have Skills :No Industry Specialization

Job Requirements : 

Key Responsibilities : o A : Design and implement custom scripts, Test and validate the custom scripts Provision and implement configuration changes o B :Troubleshoot process execution problems and work with other team members for any fix and validate o C :Maintain and adjust existing automated solutions o D :To understand requirements for new automation tasks o E:Anticipate potential points of failure database communication points, file system errors, etc

Technical Experience : A : Knowledge on Shell Scripting B : Use Linux Commands to Log Analysis/Job failure RCA and Perf checks of server including space, CPU utilization, Process check, etc, C: Knowledge on Control-M to check/setup the jobs D: Knowledge on DB like Sybase, Oracle, MySQL to perform Ad-hoc query E: Log Analysis using Splunk F: Python Scripting to perform the Automation

Professional Attributes : Excellent Communication Skill

Educational Qualification : 15 Years of full term education

Additional Information : NA

15 years of full time education

Skills from this JD

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

Shell Scripting 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
Programming Languages
Sub-category
general
Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Linux 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
Operating Systems
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Control-M 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
Monitoring Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Sybase 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
Databases
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Oracle 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
Databases
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
MySQL Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: MySQL id=17 · mysql

Aliases — catalog

  • MySQL (CANONICAL) primary

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

  • Relational Data Modeling Catalog dimension db id 216

    Library dimension (catalog)

    Roles linked in library: Fullstack Developer, PHP Backend Developer

  • Relational Database Design Catalog dimension db id 4

    Library dimension (catalog)

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

  • Relational Database Usage Catalog dimension db id 371

    Library dimension (catalog)

    Roles linked in library: Go Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Relational Data Modeling
relational-data-modeling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Relational Database Design
relational-database-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Relational Database Usage
relational-database-usage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Splunk Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Splunk id=315 · splunk

Aliases — catalog

  • Splunk (CANONICAL) primary

Context tags (catalog)

ITSI SPL SPLUNK_HOME add-ons alert action alerts analytics apps correlation search dashboard dashboards data ingestion data onboarding event correlation field extraction forwarder indexer indexing knowledge object log management machine data monitoring props.conf reporting saved search search head transforms.conf visualizations

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Observability Platform
Vendor
Splunk Inc.
License
proprietary
Year introduced
2003
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Splunk appears in many enterprise security/observability job descriptions and remains a common SIEM/log analytics platform; no vendor sunset or clear replacement has displaced it.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
176
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Observability and Incident Triage Catalog dimension db id 155

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • SIEM Products and Detection Engineering Languages Catalog dimension db id 62

    Library dimension (catalog)

    Roles linked in library: Cyber Security Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Observability and Incident Triage
observability-and-incident-triage
Existing dimension (library) · Role↔dimension saved
SIEM Products and Detection Engineering Languages
siem-products-and-detection-engineering-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Python id=5 · python

Aliases — catalog

  • Python (CANONICAL) primary
  • Python 2 (VERSION)
  • Python 2.x (VERSION)
  • Python 3 (VERSION)
  • Python 3.10 (VERSION)
  • Python 3.11 (VERSION)
  • Python 3.12 (VERSION)
  • Python 3.x (VERSION)
  • py (VERSION)
  • py2 (VERSION)
  • py3 (VERSION)
  • python 3 (VERSION)
  • python 3.x (VERSION)
  • python2 (VERSION)
  • python3 (VERSION)
  • python3.x (VERSION)

Context tags (catalog)

API Django FastAPI Flask Jupyter NumPy PEP 8 Pandas REST SQLAlchemy asyncio pandas pip pytest type hints venv virtualenv

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
PSF
License
mit
Year introduced
1991
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
3

Maturity reasoning: Python appears in a very high volume of job descriptions across data, backend, automation, and ML roles, and remains a default hiring-pipeline language on major job boards and tech stacks.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
96
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Security Scripting & DSL Languages Catalog dimension db id 248

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer

  • Programming Languages and Scripting Catalog dimension db id 59

    Library dimension (catalog)

    Roles linked in library: Cyber Security Engineer

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

  • Programming Languages for ML Systems Catalog dimension db id 39

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

  • Programming Languages for XR Catalog dimension db id 97

    Library dimension (catalog)

    Roles linked in library: AR/VR Engineer

  • Python Programming Catalog dimension db id 290

    Library dimension (catalog)

    Roles linked in library: Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python Programming
python-programming
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
MySQL in_db
Relational Data Modeling
relational-data-modeling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
MySQL in_db
Relational Database Design
relational-database-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
MySQL in_db
Relational Database Usage
relational-database-usage
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Splunk in_db
Observability and Incident Triage
observability-and-incident-triage
Existing dimension (library) · Role↔dimension saved
Splunk in_db
SIEM Products and Detection Engineering Languages
siem-products-and-detection-engineering-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Shell Scripting | type=Programming Languages subtype=general nature=LANGUAGE lifespan=EVERGREEN
canonical_skill_proposed Linux | type=Operating Systems subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Control-M | type=Monitoring Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Sybase | type=Databases subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Oracle | type=Databases subtype=general nature=TOOL lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RoleApplication Developer
CompanyAccenture
Experience6-8 years
DomainIT Services & Consulting
Location Chennai, India
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": {
    "source_marker": {
      "first_5_words": "About Accenture: Accenture is",
      "last_5_words": "people, shareholders, partners and communities."
    },
    "text": "About Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services-all powered by the world\u0027s largest network of Advanced Technology and Intelligent Operations centers. Our 674,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.",
    "word_count": 84
  },
  "certifications": [],
  "company_name": "Accenture",
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [
        "ITES",
        "BPO",
        "Tech Consulting"
      ],
      "domain": "IT Services \u0026 Consulting"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "Bachelor\u0027s - Any Discipline",
      "raw": "15 Years of full term education",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": 8,
    "min": 6,
    "raw": "6-8 years"
  },
  "job_locations": [
    {
      "aliases": [
        "Chennai, TN"
      ],
      "city": "Chennai",
      "country": "India",
      "state": null,
      "work_mode": null
    }
  ],
  "role": "Application Developer",
  "role_aliases": [
    "App Developer",
    "Software Developer",
    "Application Engineer"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 5,
      "heading": "Key Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "o A : Design and implement",
        "last_5_words": "file system errors, etc"
      },
      "text": "o A : Design and implement custom scripts, Test and validate the custom scripts Provision and implement configuration changes o B :Troubleshoot process execution problems and work with other team members for any fix and validate o C :Maintain and adjust existing automated solutions o D :To understand requirements for new automation tasks o E:Anticipate potential points of failure database communication points, file system errors, etc",
      "word_count": 56
    },
    {
      "bullet_count": 6,
      "heading": "Technical Experience",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "A : Knowledge on Shell",
        "last_5_words": "perform the Automation"
      },
      "text": "A : Knowledge on Shell Scripting B : Use Linux Commands to Log Analysis/Job failure RCA and Perf checks of server including space, CPU utilization, Process check, etc, C: Knowledge on Control-M to check/setup the jobs D: Knowledge on DB like Sybase, Oracle, MySQL to perform Ad-hoc query E: Log Analysis using Splunk F: Python Scripting to perform the Automation",
      "word_count": 56
    },
    {
      "bullet_count": 0,
      "heading": "Professional Attributes",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Excellent Communication Skill",
        "last_5_words": "Communication Skill"
      },
      "text": "Excellent Communication Skill",
      "word_count": 4
    }
  ],
  "urls": [
    {
      "type": "website",
      "url": "www.accenture.com"
    }
  ]
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Shell Scripting"
    },
    {
      "is_primary": true,
      "skill_name": "Linux"
    },
    {
      "is_primary": true,
      "skill_name": "Control-M"
    },
    {
      "is_primary": true,
      "skill_name": "Sybase"
    },
    {
      "is_primary": true,
      "skill_name": "Oracle"
    },
    {
      "is_primary": true,
      "skill_name": "MySQL"
    },
    {
      "is_primary": true,
      "skill_name": "Splunk"
    },
    {
      "is_primary": true,
      "skill_name": "Python"
    }
  ],
  "jd_role": {
    "display_name": "Application Developer",
    "rationale": null,
    "role_aliases": [
      "App Developer",
      "Software Developer",
      "Application Engineer"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": {
      "source_marker": {
        "first_5_words": "About Accenture: Accenture is",
        "last_5_words": "people, shareholders, partners and communities."
      },
      "text": "About Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services-all powered by the world\u0027s largest network of Advanced Technology and Intelligent Operations centers. Our 674,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.",
      "word_count": 84
    },
    "certifications": [],
    "company_name": "Accenture",
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [
          "ITES",
          "BPO",
          "Tech Consulting"
        ],
        "domain": "IT Services \u0026 Consulting"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "Bachelor\u0027s",
        "qualification": "Bachelor\u0027s - Any Discipline",
        "raw": "15 Years of full term education",
        "requirement": "required"
      }
    ],
    "experience": {
      "max": 8,
      "min": 6,
      "raw": "6-8 years"
    },
    "job_locations": [
      {
        "aliases": [
          "Chennai, TN"
        ],
        "city": "Chennai",
        "country": "India",
        "state": null,
        "work_mode": null
      }
    ],
    "role": "Application Developer",
    "role_aliases": [
      "App Developer",
      "Software Developer",
      "Application Engineer"
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 5,
        "heading": "Key Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "o A : Design and implement",
          "last_5_words": "file system errors, etc"
        },
        "text": "o A : Design and implement custom scripts, Test and validate the custom scripts Provision and implement configuration changes o B :Troubleshoot process execution problems and work with other team members for any fix and validate o C :Maintain and adjust existing automated solutions o D :To understand requirements for new automation tasks o E:Anticipate potential points of failure database communication points, file system errors, etc",
        "word_count": 56
      },
      {
        "bullet_count": 6,
        "heading": "Technical Experience",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "A : Knowledge on Shell",
          "last_5_words": "perform the Automation"
        },
        "text": "A : Knowledge on Shell Scripting B : Use Linux Commands to Log Analysis/Job failure RCA and Perf checks of server including space, CPU utilization, Process check, etc, C: Knowledge on Control-M to check/setup the jobs D: Knowledge on DB like Sybase, Oracle, MySQL to perform Ad-hoc query E: Log Analysis using Splunk F: Python Scripting to perform the Automation",
        "word_count": 56
      },
      {
        "bullet_count": 0,
        "heading": "Professional Attributes",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Excellent Communication Skill",
          "last_5_words": "Communication Skill"
        },
        "text": "Excellent Communication Skill",
        "word_count": 4
      }
    ],
    "urls": [
      {
        "type": "website",
        "url": "www.accenture.com"
      }
    ]
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "eaa9e499-e691-403f-9b3c-3e58ad850b1e",
  "stage3_signals": {
    "alias_found": true,
    "alias_match_roles": [
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 1,
        "score": 1.0,
        "slug": "backend-engineer",
        "total_count": null
      }
    ],
    "kra_match_roles": [
      {
        "display_name": "DevOps Engineer",
        "kra_matches": [
          {
            "kra_text": "Responds to deployment failures, infrastructure incidents, and environment misconfiguration issues to restore service availability and prevent recurrence.",
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      },
      {
        "display_name": "MLOps Engineer",
        "kra_matches": [
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      },
      {
        "display_name": "AI Engineer",
        "kra_matches": [
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      },
      {
        "display_name": "Backend Developer",
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    ],
    "skill_match_roles": [
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          "Python"
        ],
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      {
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        ],
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      },
      {
        "display_name": "Cyber Security Engineer",
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          "Python",
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        ],
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      },
      {
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      {
        "display_name": "ML Engineer",
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          "Python"
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    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "DOMAIN",
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    },
    "confidence": 0.86,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [
      "Automation Script Development",
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      "Job Scheduling and Orchestration",
      "Log Analysis and RCA",
      "Server Health Checks",
      "Database Query Support",
      "Operational Support Communication"
    ],
    "matched_kras": [
      "Design and implement custom scripts",
      "Test and validate the custom scripts",
      "Troubleshoot process execution problems",
      "Maintain and adjust existing automated solutions",
      "Understand requirements for new automation tasks",
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      "Log Analysis/Job failure RCA and Perf checks of server",
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    ],
    "matched_skills": [
      "Shell Scripting",
      "Linux Commands",
      "Control-M",
      "Sybase",
      "Oracle",
      "MySQL",
      "Splunk",
      "Python Scripting"
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    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Domain=DevOps \u0026 Platform \u2192 sub-role infrastructure-automation-engineer; The JD focuses on scripting, job automation, troubleshooting failures, Linux/server checks, Control-M, databases, and log analysis, which aligns best with DevOps-style production automation and support responsibilities.",
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      "display_name": "Infrastructure Automation Engineer",
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      "role_id": 367,
      "slug": "infrastructure-automation-engineer"
    }
  },
  "stage5_updates": {
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    "centroid_updated": true,
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    "new_kra_attached": null,
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 5048,
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        "status": "pending"
      },
      {
        "is_primary": true,
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        "role_display_name": "DevOps Engineer",
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        "skill_name": "Linux",
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      },
      {
        "is_primary": true,
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        "skill_name": "Control-M",
        "status": "pending"
      },
      {
        "is_primary": true,
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        "skill_name": "Sybase",
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      {
        "is_primary": true,
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        "skill_name": "Oracle",
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    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
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      "matched_via": "alias"
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      "alias_persisted": false,
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      "existing_alias_text": "Splunk",
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      "matched_via": "alias"
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        "is_extractable": true,
        "skill_nature": "LANGUAGE",
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      "matched_via": "alias"
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  ],
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      "slug": "ar-vr-engineer",
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    },
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    },
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        "source": "db"
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      "input_skill": "Splunk",
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    {
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    },
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      "roles_from_db": [
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              "id": 16,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-ops-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Programming Languages for XR",
            "id": 97,
            "rationale": "Primary implementation languages used to build immersive client features, interaction logic, and device-specific runtime behavior. This is the core coding surface for AR/VR experiences.",
            "slug": "programming-languages-for-xr",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "AR/VR Engineer",
              "id": 8,
              "rationale": null,
              "role_archetype": null,
              "slug": "ar-vr-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Python Programming",
            "id": 290,
            "rationale": "Core Python language skills used to implement backend business logic, request handlers, integrations, and service internals. This is the primary coding surface for the role.",
            "slug": "python-programming",
            "source": "db"
          },
          "input_skill": "Python",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Python Backend Developer",
              "id": 80,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "python-backend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Python",
      "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": [
    "Shell Scripting",
    "Linux",
    "Control-M",
    "Sybase",
    "Oracle"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "DevOps Engineer",
    "id": 10,
    "rationale": "Domain=DevOps \u0026 Platform \u2192 sub-role infrastructure-automation-engineer; The JD focuses on scripting, job automation, troubleshooting failures, Linux/server checks, Control-M, databases, and log analysis, which aligns best with DevOps-style production automation and support responsibilities.",
    "role_archetype": null,
    "slug": "devops-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Shell Scripting",
      "tag": "new"
    },
    {
      "skill": "Linux",
      "tag": "new"
    },
    {
      "skill": "Control-M",
      "tag": "new"
    },
    {
      "skill": "Sybase",
      "tag": "new"
    },
    {
      "skill": "Oracle",
      "tag": "new"
    },
    {
      "skill": "MySQL",
      "tag": "in_db"
    },
    {
      "skill": "Splunk",
      "tag": "in_db"
    },
    {
      "skill": "Python",
      "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": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Relational Data Modeling",
          "id": 216,
          "rationale": "Modeling and tuning relational persistence for backend features. PHP backend developers need this to shape schemas, indexes, transactions, and query-aware data structures that support application behavior.",
          "slug": "relational-data-modeling",
          "source": "db"
        },
        "dimension_id": 216,
        "input_skill": "MySQL",
        "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"
          },
          {
            "display_name": "PHP Backend Developer",
            "id": 86,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "php-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 17,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Relational Database Design",
          "id": 4,
          "rationale": "Modeling and operating relational persistence for backend services. Includes schema design, normalization, indexing, transactions, and query tuning for operational data stores.",
          "slug": "relational-database-design",
          "source": "db"
        },
        "dimension_id": 4,
        "input_skill": "MySQL",
        "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": "Kotlin Backend Developer",
            "id": 84,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "kotlin-server-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Node.js Backend Developer",
            "id": 82,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "node-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Python Backend Developer",
            "id": 80,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "python-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Ruby Backend Developer",
            "id": 85,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "ruby-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Scala Backend Developer",
            "id": 87,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "scala-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 17,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Relational Database Usage",
          "id": 371,
          "rationale": "Working effectively with operational relational databases from Go backend services. This includes schema-aware querying, indexing awareness, transactions, and understanding how service code interacts with PostgreSQL or similar systems.",
          "slug": "relational-database-usage",
          "source": "db"
        },
        "dimension_id": 371,
        "input_skill": "MySQL",
        "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": 17,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Observability and Incident Triage",
          "id": 155,
          "rationale": "Telemetry, alerting, and troubleshooting practices used to diagnose failed builds, broken deployments, and unhealthy release environments. This is a coherent cluster because delivery reliability depends on quickly identifying where the workflow failed.",
          "slug": "observability-and-incident-triage",
          "source": "db"
        },
        "dimension_id": 155,
        "input_skill": "Splunk",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 315,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "SIEM Products and Detection Engineering Languages",
          "id": 62,
          "rationale": "Security monitoring platforms and the query/rule languages used to build detections, hunts, and alert triage workflows. This dimension stays separate because the role often works across multiple SIEM products and their native query syntaxes.",
          "slug": "siem-products-and-detection-engineering-languages",
          "source": "db"
        },
        "dimension_id": 62,
        "input_skill": "Splunk",
        "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": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 315,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Security Scripting \u0026 DSL Languages",
          "id": 248,
          "rationale": "Proficiency in programming and domain-specific languages used to automate and script cloud security controls.",
          "slug": "cloud-security-scripting-dsl-languages",
          "source": "db"
        },
        "dimension_id": 248,
        "input_skill": "Python",
        "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": "Cloud Security Engineer",
            "id": 23,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-security-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages",
          "id": 1,
          "rationale": "Primary implementation languages used to build client and server feature code. Full stack engineers need enough fluency to move across layers and implement product behavior end to end.",
          "slug": "programming-languages",
          "source": "db"
        },
        "dimension_id": 1,
        "input_skill": "Python",
        "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": "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": "Fullstack Developer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages and Scripting",
          "id": 59,
          "rationale": "Languages used to write security automation, analysis scripts, detection logic, and remediation helpers. This is the primary implementation surface for a cybersecurity engineer across tooling and response workflows.",
          "slug": "programming-languages-and-scripting",
          "source": "db"
        },
        "dimension_id": 59,
        "input_skill": "Python",
        "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": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for Data Work",
          "id": 21,
          "rationale": "Languages used to implement data pipelines, transformations, and operational glue. This is the primary coding surface for building ingestion, enrichment, and automation logic in data engineering.",
          "slug": "programming-languages-for-data-work",
          "source": "db"
        },
        "dimension_id": 21,
        "input_skill": "Python",
        "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": "Data Engineer",
            "id": 2,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for ML Systems",
          "id": 39,
          "rationale": "Languages used to build training code, inference services, evaluation jobs, and ML glue code. This is the primary implementation surface for ML engineers across experimentation and productionization.",
          "slug": "programming-languages-for-ml-systems",
          "source": "db"
        },
        "dimension_id": 39,
        "input_skill": "Python",
        "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"
          },
          {
            "display_name": "MLOps Engineer",
            "id": 16,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-ops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for XR",
          "id": 97,
          "rationale": "Primary implementation languages used to build immersive client features, interaction logic, and device-specific runtime behavior. This is the core coding surface for AR/VR experiences.",
          "slug": "programming-languages-for-xr",
          "source": "db"
        },
        "dimension_id": 97,
        "input_skill": "Python",
        "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": "AR/VR Engineer",
            "id": 8,
            "rationale": null,
            "role_archetype": null,
            "slug": "ar-vr-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 10,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Python Programming",
          "id": 290,
          "rationale": "Core Python language skills used to implement backend business logic, request handlers, integrations, and service internals. This is the primary coding surface for the role.",
          "slug": "python-programming",
          "source": "db"
        },
        "dimension_id": 290,
        "input_skill": "Python",
        "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": "Python Backend Developer",
            "id": 80,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "python-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "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": "eaa9e499-e691-403f-9b3c-3e58ad850b1e"
}

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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