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Senior Software Support Engineer - Slinky
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About this role
Role overview Support customers deploying and operating a workload scheduling platform that integrates with Kubernetes, while helping improve the software behind it. This role combines production troubleshooting and systems support with software development, reliability work, and collaboration across engineering and operations teams.
Responsibilities - Help customers install, configure, and operate the platform in Kubernetes environments. - Investigate deployment, reliability, and performance problems across the platform, Kubernetes, and workload scheduling systems. - Develop and maintain software, Kubernetes integrations, automation, and troubleshooting tools to address customer issues. - Write documented, maintainable code and build automated tests that improve reliability and prevent regressions. - Work with engineering, infrastructure, operations, and deployment teams to resolve issues and improve service performance. - Keep current with changes in Kubernetes, containers, Linux, and related technologies.
Requirements - At least five years of experience spanning technical support and systems software development, plus a relevant bachelor’s degree or equivalent experience. - Strong knowledge of Kubernetes architecture, operators, scheduling, networking, storage, and cluster operations. - Experience diagnosing production Kubernetes issues using logs, metrics, and debugging tools. - Solid understanding of Linux systems, networking, and file systems. - Experience developing or maintaining software and automation in Go, C, or a similar language, and familiarity with software development lifecycles and Agile practices. - Experience with containers and GPU technologies, alongside strong problem-solving and customer communication skills.
Nice to have - Experience with Kubernetes operators, custom resources, and Helm. - Background in system administration or high-performance computing, including Slurm or similar workload schedulers. - Knowledge of operating system internals or hardware and software interactions; open-source Kubernetes or HPC contributions are also valued.