NVIDIA
US - Washington - Seattle
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Own the lifecycle of Kubernetes clusters and the underlying bare-metal provisioning, storage, and networking, while building self-service platform capabilities, automation, and shared services. Onboard teams and sites through repeatable tooling and documentation, collaborate with hardware and infrastructure groups on EDA workloads, and participate in on-call incident response and capacity planning.
Requirements: Requires at least five years of software or infrastructure engineering experience supporting large-scale production systems, plus a bachelor's degree in a relevant field or equivalent experience. Candidates should have strong Go or Python skills, hands-on experience operating Kubernetes or a comparable platform, experience automating distributed infrastructure, and a record of enabling teams to adopt infrastructure independently.
Key Skills: Go, Python, Kubernetes, Distributed Systems, Infrastructure Engineering, Bare-Metal Provisioning, Cluster Scheduling, Controllers And Operators, CI/CD, Infrastructure Automation, Cloud-Native Platforms, Observability, Networking, Storage, Incident Response, Capacity Planning
Benefits: Equity, Benefits
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