> Markdown version of [/jobs/ext/4670832-senior-software-engineer-kubernetes-runtime-and-release](https://www.wearedevelopers.com/jobs/ext/4670832-senior-software-engineer-kubernetes-runtime-and-release). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, Kubernetes Runtime and Release - **Company:** NVIDIA Ltd. - **Location:** United States - **Experience:** Expert - **Salary:** $184,000 - $287,500 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Release Automation, Cloud Computing, Distributed Systems, Release Management, Software Engineering, Verification and Validation (Software), Graphics Processing Unit (GPU), Kubernetes, Information Technology, Hardware Infrastructure, Cloud Integration - **Published:** November 11, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-kubernetes-runtime-and-release-ca--e08157e2-a1ca-46a2-8751-eb682fdfe929 ## About the Role Software Engineering, Public Cloud, GPU (Graphics Processing Unit), Artificial Intelligence (AI), Cloud Computing, Release Management/Engineering, Application Programming Interface (API), Automation, Financial Control, Software Validation, * 6+ years building production infrastructure software or distributed systems. * Strong programming skills in Go or another language to build production systems, with willingness to work primarily in Go. * Kubernetes experience and depth in at least one area: controllers and operators, release automation, test and validation systems, or cloud integration. * Experience delivering engineering projects, diagnosing complex failures, and collaborating across teams. * BS or MS in Computer Science, Engineering, or equivalent experience. Ways to stand out from the crowd: * Experience in any of these areas is valuable, but not required: * Go development with controller-runtime, CRDs, and reconcilers. * Release qualification across multiple environments or platforms. * GPU infrastructure, accelerated networking, or GPU scheduling. * Bringing new hardware, regions, or cloud providers into production. * Resource allocation, leasing, or fair-share scheduling and upstream integration, compatibility, or software supply chain integrity.