OpenShift Engineer

Posted 2hrs ago

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Job Description

Red Hat OpenShift Engineer building secure, multi-tenant bare-metal clusters for an AI-focused infrastructure provider. Migrating on-premise and Azure workloads into scalable OpenShift environments.

Responsibilities:

  • Design, architect, and build a multi-tenant OpenShift cluster on bare metal
  • Configure and maintain the OpenShift platform for high availability, scalability, and security
  • Define and implement networking, storage, ingress, monitoring, and logging
  • Develop architecture documents, blueprints, and SOPs
  • Lead and execute migration of workloads from on-premise and Azure environments to OpenShift
  • Support onboarding of multiple AI-focused client tenants with isolated environments
  • Support the DevOps team with advanced Linux/OpenShift troubleshooting
  • Implement and enforce RBAC, tenant isolation, resource quotas, and compliance controls
  • Optimize performance for AI-heavy workloads on GPU-enabled infrastructure
  • Own operational stability, platform upgrades, and monitoring

Requirements:

  • 5+ years of deep hands-on experience with Red Hat OpenShift and Kubernetes
  • Experience designing, building, and managing bare-metal OpenShift clusters
  • Strong understanding of Linux internals, container runtimes, networking, and troubleshooting
  • Experience migrating applications from on-premise and Azure environments into OpenShift
  • Strong experience with multi-tenancy architecture, workload isolation, and security
  • Familiarity with CSI storage, CNI networking, and service mesh implementations
  • Proficiency with Prometheus, Grafana, ELK, or similar monitoring and observability tools
  • Experience with Infrastructure as Code using Ansible and Terraform
  • Experience with CI/CD automation
  • Strong documentation and communication skills
  • Required Red Hat Certified Specialist in OpenShift Administration certification
  • Required Red Hat Certified Engineer (RHCE) or equivalent Linux certification
  • Nice to have: familiarity with 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-grade security, compliance, and policy enforcement