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Tier-1 employer and metro location but highly specialized OpenShift/MLOps requirement reduces generalist competition.
Highly domain-specific OpenShift, GPU orchestration, and regulated cloud experience limits cross-industry transferability.
Explicit 15+ years, mandatory OpenShift/cloud/MLOps and regulated environment experience make filters highly strict.
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Lead design and implementation of OpenShift-based platforms enabling seamless AI/ML workflows from development to production.
Architect and optimize scalable, high-performance OpenShift clusters across hybrid environments with a focus on GPU orchestration and AI workload tuning.
Advise clients on sovereign AI strategies, hybrid cloud AI architecture, and total cost of ownership for AI deployments on OpenShift.
15+ years in professional services or consulting roles.
Proven experience deploying OpenShift in production-grade, air-gapped, or highly regulated environments.
Strong expertise in AI/ML lifecycle concepts and infrastructure, including orchestration with tools like JupyterHub, Elyra, KServe, Caikit, and LLM fine-tuning integration.
Work Experience Required: 15+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced in strategic technical consulting bridging infrastructure, DevOps, and AI/ML platform needs in hybrid/multi-cloud contexts.
Deep understanding of OpenShift platform engineering, security (RBAC, network policies), and automation tooling at scale.
Capable of influencing senior stakeholders including client architects and director-level managers with solution leadership and architectural guidance.