NVIDIA
US - North Carolina - Durham
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Own the lifecycle of Kubernetes clusters and the underlying bare-metal provisioning, storage, and networking, while building reusable self-service platform capabilities, automation, and CI/CD 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, a relevant bachelor's degree or equivalent experience, and strong programming skills in Go or Python. Candidates should have hands-on experience operating Kubernetes or a comparable platform, building automation for distributed infrastructure, and onboarding teams through repeatable self-service processes.
Key Skills: Go, Python, Kubernetes, Distributed Systems, Infrastructure Engineering, Bare-Metal Provisioning, Cluster Scheduling, Controllers And Operators, Infrastructure Automation, CI/CD, Cloud-Native Technologies, Networking, Storage, Observability, Incident Response, Capacity Planning
Benefits: Equity, Benefits
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