Senior OpenShift Platform Engineer (MLOps, LLMOps)

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About the Role

Senior OpenShift Platform Engineer

Key Responsibilities

Platform Leadership

• Architect, install, upgrade, and manage OpenShift clusters, both on bare metal and VMware.
• Lead the deployment of MLOps / LLMOps workflows in OpenShift AI environments.
• Implement production-grade solutions for model deployment, monitoring, and validation pipelines.

Infrastructure Excellence

• Set up robust monitoring (Prometheus, Thanos, Grafana), logging, and backup strategies.
• Drive improvements in scalability, performance, and reliability of containerized platforms.
• Ensure secure and efficient configurations for RBAC, networking, and persistent storage (NetApp preferred).
  

Collaboration & Communication

• Translate customer and product requirements into technical solutions.
• Lead architectural and code reviews across distributed engineering teams.
• Mentor team members and promote a high standard of engineering practices.
  

Incident Management & Governance

• Own and lead root cause analysis (RCA) and post-mortem follow-ups.
• Define and enforce platform standards, technical governance, and compliance practices.
  

Must-Have Qualifications

• Minimum 5 years of experience

  in OpenShift cluster installation, management, and lifecycle operations.
• Proven experience designing

  highly available and scalable systems

  in enterprise environments.
• Hands-on experience with

  bare metal or VMware-based OpenShift deployments

  .
• Deep understanding of

  Kubernetes/OpenShift security, RBAC, networking, and persistent storage (NetApp preferred)

  .
• Expertise in setting up

  monitoring, logging, and backup solutions

  .
• Proficiency with

  CI/CD DevOps tools

  such as

  GitLab

  and

  ArgoCD

  .
• Solid experience with

  observability tools

  like

  Prometheus, Thanos, and Grafana

  .
• Strong communication and presentation skills to engage both technical and non-technical stakeholders.
• Ability to juggle multiple projects and deliver with minimal oversight.
  

Bonus Skills (Highly Desirable)

• Experience with

  OpenShift AI

  and deployment of

  MLOps/LLMOps

  workflows.
• Familiarity with

  OpenShift Virtualization

  or

  KubeVirt

  .
• Open-source contributions in Kubernetes/MLOps communities.
• Experience leading customer-facing technical discussions and workshops.