Senior OpenShift (OCP) Engineer – Platform Engineering & GitOps

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)