OpenShift Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Design, architect, and create a multi-tenant OpenShift cluster on bare metal.

• Configure and sustain the OpenShift platform to ensure high availability, scalability, and security.

• Define and execute networking, storage, ingress, monitoring, and logging strategies.

• Develop architectural documentation, blueprints, and standard operating procedures (SOPs).

• Lead and manage the migration of workloads from on-premise and Azure environments to OpenShift.

• Assist in onboarding multiple AI-focused client tenants with their own isolated environments.

• Provide advanced Linux/OpenShift troubleshooting support to the DevOps team.

• Implement and enforce role-based access control (RBAC), tenant isolation, resource quotas, and compliance measures.

• Enhance performance for AI-intensive workloads on GPU-enabled infrastructure.

• Take ownership of operational stability, platform upgrades, and monitoring practices.

⛳️ Requirements

• Over 5 years of extensive hands-on experience with Red Hat OpenShift and Kubernetes.

• Proven experience in designing, building, and managing bare-metal OpenShift clusters.

• Strong comprehension of Linux internals, container runtimes, networking, and troubleshooting techniques.

• Experience in migrating applications from on-premise and Azure environments to OpenShift.

• Significant expertise in multi-tenancy architecture, workload isolation, and security protocols.

• Familiarity with CSI storage, CNI networking, and service mesh implementations.

• Proficiency in using Prometheus, Grafana, ELK, or comparable monitoring and observability tools.

• Experience with Infrastructure as Code practices utilizing Ansible and Terraform.

• Familiarity with CI/CD automation processes.

• Strong documentation and communication abilities.

• Required: Red Hat Certified Specialist in OpenShift Administration certification.

• Required: Red Hat Certified Engineer (RHCE) or an equivalent Linux certification.

• Nice to have: knowledge of AI/ML compute environments, GPU workloads, or NVIDIA operators.

• Nice to have: experience with hybrid cloud or edge computing models.

• Nice to have: exposure to enterprise-level security, compliance, and policy enforcement.

🏝️ Benefits

• Competitive salary and comprehensive benefits package.

• Opportunities for professional development and training.

• Flexible work hours and a supportive work environment.

• Access to cutting-edge technology and tools.