DevOps engineer for AI inference infrastructure and Kubernetes cluster operations.
Build and operate scalable on-premises infrastructure for AI inference workloads, focusing on GPU scheduling, model deployment pipelines, and monitoring systems. You'll work with Kubernetes, Linux networking, and infrastructure-as-code tools to support ML and platform teams. The role suits experienced DevOps engineers comfortable with containerization, automation, and high-performance computing environments.
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Found at a specialist agency · listed 20 August 2026 · InsideJobs links you to the original posting.