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Ford Motor Company Linkedin · Posted 19d ago

Senior OpenShift (OCP) Engineer – Platform Engineering & GitOps

India

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Description

Join a team building an enterprise-grade private cloud platform from the ground up. This role focuses on developing and scaling OpenShift (Kubernetes-based platform), automation frameworks, and cloud-native tooling. You will work on platform engineering, infrastructure automation, and developer enablement while applying software engineering best practices.

Responsibilities

  • Design, build, and maintain OpenShift (Kubernetes) platform for on-premise and hybrid environments
  • Develop and manage infrastructure automation using Go, Python, and Ansible
  • Build and maintain Kubernetes Operators and APIs to enable self-service capabilities
  • Implement GitOps-based deployment pipelines using tools like Argo CD and Tekton
  • Enhance platform reliability through monitoring, alerting, and automated recovery mechanisms
  • Develop observability solutions using Prometheus, Grafana, and logging platforms
  • Support containerized and virtualized workloads using OpenShift Virtualization
  • Collaborate with architects and application teams to improve platform usability
  • Mentor team members and promote best practices in coding and platform engineering

Qualifications

Required

  • 6–10 years of experience in platform engineering, DevOps, or cloud infrastructure
  • Strong hands-on experience with:
    • Kubernetes and OpenShift (OCP – OpenShift Container Platform)
    • At least one programming language (Go or Python preferred)
    • CI/CD and GitOps tools (e.g., GitHub, Argo CD, Tekton)
  • Experience with infrastructure automation (Infrastructure as Code – IaC)
  • Understanding of distributed systems, microservices, and cloud-native design
Preferred

  • Experience with:
    • Kubernetes Operators and custom controllers
    • Service mesh (e.g., Istio)
    • Observability tools (Prometheus, Grafana, ELK, Dynatrace, etc.)
    • Storage solutions (Ceph, OpenShift Data Foundation – ODF)
    • Secrets management (e.g., HashiCorp Vault)
  • Exposure to hybrid cloud or private cloud environments
  • Familiarity with AI/ML integration in cloud platforms (optional)
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