Senior OCP Engineer (OpenShift / Kubernetes Platform)

Job ID

65743

Category

Enterprise Technology

Location

Chennai, India

Work Type

Hybrid

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)