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Pipeline run

e21a7c98-7ade-4881-acd1-08f8bcc9ac17

Pipeline LLM cost (USD)
API 1: $0.0091 API 2: $0.0001 API 3: $0.0000 Total: $0.0092

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 · Data pipeline automation
Design, build, and maintain automated data pipelines on OpenShift and Ansible, including data acquisition/transformation, model deployment, run automation, and monitoring/troubleshooting pipeline performance while enforcing data quality and security.
"Develop and maintain automated workflows for data acquisition, transformation, and model deployment."
Tech stack maturity
Mainstream Legacy
Ansible is a widely adopted automation tool commonly used in established infrastructure and configuration management workflows rather than cutting-edge cloud-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 (2)
Red Hat OpenShift Ansible
Skill cluster (2 dimension groups, role-scoped)
Configuration Management
Ansible
Cross-cutting / unaligned
Red Hat OpenShift
Show KRA description ↓
As a Data Automation Engineer, you will play a crucial role in designing, implementing, and maintaining data automation pipelines using Red Hat OpenShift and Ansible. Your responsibilities will include: • Collaborate with data scientists, engineers, and stakeholders to design end-to-end data pipelines. • Develop and maintain automated workflows for data acquisition, transformation, and model deployment. • Use Ansible playbooks to orchestrate configurations, deploy applications, and manage infrastructure. • Ensure data quality, consistency, and compliance with organizational standards. • Implement security measures to protect sensitive data within the pipelines. • Automate pipeline runs to optimize data workflows. • Monitor and troubleshoot pipeline performance using Ansible automation.

Signals

Skill cloud-architect
0.50
Alias data-engineer
1.00
KRA data-engineer
0.67

Post-classification

Centroidupdated · n=81
Alias collision log
New-role queue
New skills captured1
New KRA captured

Captured for admin review

Red Hat OpenShift primary DevOps Engineer pending
Status: completed Created: 2026-05-27T15:45:19.027307Z Updated: 2026-06-12T15:59:41.435174Z API 3 duration: 7421 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 · 0.88 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 centers on automation pipelines, Ansible-driven orchestration, deployment, infrastructure management, and monitoring/troubleshooting, which aligns best with DevOps engineering.

Matched skills

Red Hat OpenShiftAnsibleAnsible playbooks

Matched dimensions

Data pipeline automationInfrastructure orchestration and deploymentWorkflow automationData quality and compliancePipeline securityPipeline monitoring and troubleshooting

Matched KRAs

designing, implementing, and maintaining data automation pipelinesdesign end-to-end data pipelinesdevelop and maintain automated workflowsuse Ansible playbooks to orchestrate configurationsdeploy applications, and manage infrastructureensure data quality, consistency, and complianceimplement security measures to protect sensitive dataautomate pipeline runs to optimize data workflowsmonitor and troubleshoot pipeline performance

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

Skills:
data automation, Red Hat openshift, Ansible, Data cloud, Data center, SQL,

Core Skills: Data Center and Data Cloud and Data Automation, Local Infrastructure

Description

As a Data Automation Engineer, you will play a crucial role in designing, implementing, and maintaining data automation pipelines using Red Hat OpenShift and Ansible. Your responsibilities will include:

Pipeline Design And Development

• Collaborate with data scientists, engineers, and stakeholders to design end-to-end data pipelines.
• Develop and maintain automated workflows for data acquisition, transformation, and model deployment.


OpenShift And Ansible Integration

• Use Ansible playbooks to orchestrate configurations, deploy applications, and manage infrastructure.


Data Governance And Security

• Ensure data quality, consistency, and compliance with organizational standards.
• Implement security measures to protect sensitive data within the pipelines.


Automation And Efficiency

• Automate pipeline runs to optimize data workflows.
• Monitor and troubleshoot pipeline performance using Ansible automation.

Skills from this JD

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

Red Hat OpenShift Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Ansible Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Ansible id=721 · ansible

Aliases — catalog

  • Ansible (CANONICAL) primary

Context tags (catalog)

AWX Ansible Tower CI/CD Jinja2 SSH YAML ad-hoc commands agentless ansible-galaxy ansible-vault automation collections configuration drift deployment facts handlers idempotency idempotent inventory modules orchestration playbook playbooks roles task templates

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Configuration Management Tool
Vendor
Red Hat
License
apache_2
Year introduced
2012
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Commonly listed in DevOps/SRE job descriptions for config management and automation; strong GitHub usage and Red Hat/AWX ecosystem signal broad adoption.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
576
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Configuration Management Catalog dimension db id 133

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Configuration Management
configuration-management
Existing dimension (library) · Role↔dimension saved

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
Ansible in_db
Configuration Management
configuration-management
Existing dimension (library) · Role↔dimension saved

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Red Hat OpenShift | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
RoleData Automation Engineer
DomainOther
JD type pass
Show raw JSON
{
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  "about_company": null,
  "certifications": [],
  "company_name": null,
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [],
      "domain": "Other"
    },
    "secondary": null
  },
  "education": [],
  "experience": null,
  "job_locations": [],
  "role": "Data Automation Engineer",
  "role_aliases": [
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  "roles_and_responsibilities": [
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        "last_5_words": "responsibilities will include:"
      },
      "text": "As a Data Automation Engineer, you will play a crucial role in designing, implementing, and maintaining data automation pipelines using Red Hat OpenShift and Ansible. Your responsibilities will include:",
      "word_count": 36
    },
    {
      "bullet_count": 2,
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      "source_marker": {
        "first_5_words": "\u2022 Collaborate with data scientists,",
        "last_5_words": "and model deployment."
      },
      "text": "\u2022 Collaborate with data scientists, engineers, and stakeholders to design end-to-end data pipelines.\n\u2022 Develop and maintain automated workflows for data acquisition, transformation, and model deployment.",
      "word_count": 30
    },
    {
      "bullet_count": 1,
      "heading": "OpenShift And Ansible Integration",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Use Ansible playbooks to",
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      },
      "text": "\u2022 Use Ansible playbooks to orchestrate configurations, deploy applications, and manage infrastructure.",
      "word_count": 19
    },
    {
      "bullet_count": 2,
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      "source_marker": {
        "first_5_words": "\u2022 Ensure data quality, consistency,",
        "last_5_words": "within the pipelines."
      },
      "text": "\u2022 Ensure data quality, consistency, and compliance with organizational standards.\n\u2022 Implement security measures to protect sensitive data within the pipelines.",
      "word_count": 25
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    {
      "bullet_count": 2,
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      "source_marker": {
        "first_5_words": "\u2022 Automate pipeline runs to",
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      },
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      "word_count": 19
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Red Hat OpenShift"
    },
    {
      "is_primary": true,
      "skill_name": "Ansible"
    }
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    "rationale": null,
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    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "certifications": [],
    "company_name": null,
    "ctc": null,
    "domain": {
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      },
      "secondary": null
    },
    "education": [],
    "experience": null,
    "job_locations": [],
    "role": "Data Automation Engineer",
    "role_aliases": [
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    "roles_and_responsibilities": [
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      {
        "bullet_count": 1,
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        "word_count": 25
      },
      {
        "bullet_count": 2,
        "heading": "Automation And Efficiency",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Automate pipeline runs to",
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      }
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    "urls": []
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  "rejected": false,
  "rejection_reason": null,
  "run_id": "e21a7c98-7ade-4881-acd1-08f8bcc9ac17",
  "stage3_signals": {
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    "alias_match_roles": [
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    "kra_match_roles": [
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      },
      {
        "display_name": "MLOps Engineer",
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          {
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            "similarity": 0.6269
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        "score": 0.582,
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      },
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      },
      {
        "display_name": "AI Engineer",
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  "stage4_decision": {
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    "case": "DOMAIN",
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      "matched_count": null,
      "matched_skills": null,
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    },
    "confidence": 0.89,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [
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      "Workflow automation",
      "Data quality and compliance",
      "Pipeline security",
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    ],
    "matched_kras": [
      "designing, implementing, and maintaining data automation pipelines",
      "design end-to-end data pipelines",
      "develop and maintain automated workflows",
      "use Ansible playbooks to orchestrate configurations",
      "deploy applications, and manage infrastructure",
      "ensure data quality, consistency, and compliance",
      "implement security measures to protect sensitive data",
      "automate pipeline runs to optimize data workflows",
      "monitor and troubleshoot pipeline performance"
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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 centers on automation pipelines, Ansible-driven orchestration, deployment, infrastructure management, and monitoring/troubleshooting, which aligns best with DevOps engineering.",
    "sub_role": {
      "confidence": 0.88,
      "display_name": "Infrastructure Automation Engineer",
      "reasoning": "The JD centers on automating infrastructure and pipeline workflows with Red Hat OpenShift and Ansible, which fits infrastructure automation more than CI/CD or generic DevOps.",
      "role_id": 367,
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    }
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  "stage5_updates": {
    "centroid_n_after": 81,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": null,
    "new_skills_attached": [
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    "v3_run_id": null
  }
}
API 2 — extract-details
{
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      "dimension": {
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      "input_skill": "Ansible",
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  "input_final_skills": [
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  "input_llm_skills": [
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  "skills_detail": [
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        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "red-hat-openshift",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Ansible",
          "alias_type": "CANONICAL",
          "id": 1262,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 13,
        "display_name": "Ansible",
        "id": 721,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "ansible",
        "sub_category_id": 576,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Configuration Management",
            "id": 133,
            "rationale": "Host and fleet configuration tools used to standardize operating system state, bootstrap servers, and enforce baseline settings. This is distinct from IaC because it focuses on in-guest configuration rather than cloud resource provisioning.",
            "slug": "configuration-management",
            "source": "db"
          },
          "input_skill": "Ansible",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            },
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Ansible",
      "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": [
    "Red Hat OpenShift"
  ]
}
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 centers on automation pipelines, Ansible-driven orchestration, deployment, infrastructure management, and monitoring/troubleshooting, which aligns best with DevOps engineering.",
    "role_archetype": null,
    "slug": "devops-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Red Hat OpenShift",
      "tag": "new"
    },
    {
      "skill": "Ansible",
      "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": "Configuration Management",
          "id": 133,
          "rationale": "Host and fleet configuration tools used to standardize operating system state, bootstrap servers, and enforce baseline settings. This is distinct from IaC because it focuses on in-guest configuration rather than cloud resource provisioning.",
          "slug": "configuration-management",
          "source": "db"
        },
        "dimension_id": 133,
        "input_skill": "Ansible",
        "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": "Cloud Architect",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-architect",
            "source": "db"
          },
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 721,
        "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": "e21a7c98-7ade-4881-acd1-08f8bcc9ac17"
}

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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