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Pipeline run

2be43593-1304-4ef3-951f-c151a6b95a20

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description

Nature of work

—

no_db_connection

Tech stack maturity

Mainstream Modern

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 (15)

Kubernetes Docker AWS Azure GCP Terraform GitHub Actions Jenkins GitLab CI Prometheus Grafana ELK stack Node.js Go Python

Skill cluster (0 dimension groups, role-scoped)

No dimension groups computed for this JD.

Status: extract_from_jd_done Created: 2026-05-10T21:36:29.207611Z Updated: 2026-05-10T21:36:29.207611Z

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

No chosen role stored for this run.

Job description

Job Title: Platform Engineer

Experience: 3–6 Years
Location: Bengaluru / Remote
Employment Type: Full-Time

About the Role

We are looking for a skilled Platform Engineer to build and maintain scalable infrastructure, internal developer platforms, and deployment systems. You will work closely with backend, DevOps, and product engineering teams to improve reliability, automation, and developer productivity across the organization.

Key Responsibilities
Design and maintain scalable cloud infrastructure and platform services.
Build CI/CD pipelines for automated testing and deployments.
Develop internal tooling to improve developer workflows.
Monitor system health, performance, and reliability metrics.
Manage containerized workloads using Kubernetes and Docker.
Implement infrastructure as code using Terraform or similar tools.
Optimize system availability, scalability, and security practices.
Collaborate with engineering teams to troubleshoot production issues.
Automate repetitive operational and deployment tasks.
Maintain logging, monitoring, and alerting systems.
Required Skills
Strong experience with Linux systems and shell scripting.
Hands-on experience with Docker and Kubernetes.
Experience with cloud platforms such as AWS, Azure, or GCP.
Good understanding of CI/CD tools like GitHub Actions, Jenkins, or GitLab CI.
Experience with Infrastructure as Code tools such as Terraform.
Knowledge of monitoring tools like Prometheus, Grafana, or ELK stack.
Familiarity with networking concepts, APIs, and system security.
Experience working with distributed systems and microservices.
Preferred Qualifications
Experience building internal developer platforms.
Knowledge of service mesh and observability tools.
Familiarity with backend development in Node.js, Go, or Python.
Experience with database operations and performance tuning.
Understanding of SRE principles and incident management.
Benefits
Flexible work environment
Health insurance
Learning and certification support
Internet and workstation reimbursement
Opportunity to work on large-scale distributed systems

Skills from this JD

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

Kubernetes Primary No API 2 row (run stopped after API 1 or history missing)

Docker Primary No API 2 row (run stopped after API 1 or history missing)

AWS Primary No API 2 row (run stopped after API 1 or history missing)

Azure Primary No API 2 row (run stopped after API 1 or history missing)

GCP Primary No API 2 row (run stopped after API 1 or history missing)

GitHub Actions Secondary No API 2 row (run stopped after API 1 or history missing)

Jenkins Secondary No API 2 row (run stopped after API 1 or history missing)

GitLab CI Secondary No API 2 row (run stopped after API 1 or history missing)

Terraform Primary No API 2 row (run stopped after API 1 or history missing)

Prometheus Secondary No API 2 row (run stopped after API 1 or history missing)

Grafana Secondary No API 2 row (run stopped after API 1 or history missing)

ELK stack Secondary No API 2 row (run stopped after API 1 or history missing)

Node.js Secondary No API 2 row (run stopped after API 1 or history missing)

Go Secondary No API 2 row (run stopped after API 1 or history missing)

Python Secondary No API 2 row (run stopped after API 1 or history missing)

Library artifacts (this run)

No artifact rows for this run.

API 1 — extract-from-jd click to toggle

{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Kubernetes"
    },
    {
      "is_primary": true,
      "skill_name": "Docker"
    },
    {
      "is_primary": true,
      "skill_name": "AWS"
    },
    {
      "is_primary": true,
      "skill_name": "Azure"
    },
    {
      "is_primary": true,
      "skill_name": "GCP"
    },
    {
      "is_primary": false,
      "skill_name": "GitHub Actions"
    },
    {
      "is_primary": false,
      "skill_name": "Jenkins"
    },
    {
      "is_primary": false,
      "skill_name": "GitLab CI"
    },
    {
      "is_primary": true,
      "skill_name": "Terraform"
    },
    {
      "is_primary": false,
      "skill_name": "Prometheus"
    },
    {
      "is_primary": false,
      "skill_name": "Grafana"
    },
    {
      "is_primary": false,
      "skill_name": "ELK stack"
    },
    {
      "is_primary": false,
      "skill_name": "Node.js"
    },
    {
      "is_primary": false,
      "skill_name": "Go"
    },
    {
      "is_primary": false,
      "skill_name": "Python"
    }
  ],
  "run_id": null
}

API 2 — extract-details

{}

API 3 — final-role-output

{}

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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