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DevOps Engineer (Application Deployment & Configuration - K8S)

Robert Bosch

India2–5 yrs7 – 17.4 LPA (estimated)
Full-time

Posted 5 days agoBe an early applicant

DevOps Engineer (Application Deployment & Configuration - K8S)

India

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Experience

2–5 yrs

Salary

₹7 – 17.4 LPA (est.)

Job type

Full-time

Openings

1

Education

BE/B.Tech/M.Tech/MCA

Apply by

9 Nov 2026

This role focuses on automating and managing the deployment of manufacturing applications in a Kubernetes environment. The engineer will design, implement, and maintain CI/CD pipelines, apply GitOps practices, and ensure smooth releases to QA and production while collaborating with global teams.

  • Analyze and improve automated deployment standards and governance.
  • Evaluate and prepare software deployments, including tools, access, dependencies, and release packages.
  • Provide automated deployment for manufacturing applications in Kubernetes, integrating services like Kafka, Solace, and databases such as Oracle, Mongo, PostgreSQL.
  • Deploy applications to QA and production, ensuring minimal impact on manufacturing processes.
  • Apply DevOps/GitOps solutions and best practices to automate release processes, templates, and pipelines.
  • Develop comprehensive documentation, support instructions, and handover materials.
  • Coordinate with global distributed teams (Germany, India, Vietnam).
  • Own end‑to‑end deployment, pipeline optimization, release readiness, and governance.
  • Maintain production stability and business continuity during releases.
  • Continuously improve DevOps/GitOps deployment practices.
  • Minimum 3+ years of experience in DevOps or Kubernetes deployment operations.
  • Experience with SDLC, packaging, releasing, and deployment for containerized or non-containerized applications.
  • Hands‑on with REST and gRPC APIs, distributed systems, databases, and ERP systems.
  • Familiarity with DevOps/GitOps practices, CI/CD, and deployment concepts on Kubernetes (Blue‑Green, Canary, A/B).
  • Proficiency in Python, Java, or Go.
  • Experience with MongoDB and Elasticsearch.
  • Strong documentation and knowledge transfer skills.
  • Analytical problem‑solving in complex enterprise environments.
  • Understanding of Agile, HA, Resiliency, and Scalability.
  • Knowledge of ITIL, operational requirements, and support.

Skills

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