Kubernetes Platform Engineer Prem Infra & ML Services

Requirements

• Experienced backend or infrastructure engineer with a focus on platform development in large-scale environments
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• Strong expertise in Kubernetes, including cluster provisioning, operators, and production debugging
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• Proficient in Python or Go for building APIs and platform services
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• Comfortable working with Linux systems, networking fundamentals, and distributed systems
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• Collaborative and adaptable, able to work across engineering, infrastructure, and deployment teams

• This role focuses on designing and operating Kubernetes-based platforms on on-prem data centers, enabling engineers and customers to run workloads efficiently on Tenstorrent hardware
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• We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting
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• Design and build platform services for workload orchestration, ML services, and internal development workflows
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• Develop APIs and systems that enable users and services to interact with infrastructure platforms
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• Own Kubernetes-based platforms including cluster lifecycle, scaling, and operational maturity
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• Integrate platform systems with CI/CD pipelines, Git Ops workflows, and internal tooling
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• Partner with SRE, infrastructure, and deployment teams to support large-scale internal and external environments