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Member of Technical Staff, Platform - AI Infrastructure

Hamilton Barnes · hamilton-barnes.com
United StatesLead / Manager
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Posted 21 days ago. 643 more Machine Learning / AI Engineer jobs in the United States went up on company career pages this week. See the newer ones

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The job in short

AI infrastructure engineering.

PythonRustKubernetesLinuxAgenticNetworking

Details

Found
21 d ago · posted 2026-10-17

Full description

Keen to join a company that champions growth and development? Join a high-growth infrastructure company that scales specialized hardware within data center environments for advanced artificial intelligence workloads. The organization builds robust cloud platforms that expose high-performance hardware as elastic compute via developer-friendly interfaces. Its technology enables software teams to develop agentic capabilities and deploy complex, long-running AI models. If you would like to learn more about this opportunity, feel free to reach out and apply today! Responsibilities: • Design, build, and operate managed Kubernetes and other customer-facing infrastructure services. • Build control-plane services, Kubernetes operators, and controllers. • Automate managed-service lifecycle, including cluster creation, version upgrades, configuration changes, and safe deletion. Coordinate with Fleet for the underlying capacity. • Build APIs and tools that customers use to deploy, manage, and monitor workloads. • Integrate orchestration with compute, networking, storage, identity, and security systems. • Improve service availability, isolation, performance, observability, and upgrade safety. • Work directly with customers and Product to define and deliver new platform capabilities. • Use coding agents throughout design, implementation, testing, debugging, and operations. • Participate in on-call and own the systems you build in production. Skills/Must Have: • Built customer-facing infrastructure products or managed cloud services. • Experience building distributed systems, control planes, operators, or controllers. • Deep knowledge of Kubernetes internals and cluster lifecycle management. • Strong programming skills in Go, Python, Rust, or a similar language. • Strong knowledge of Linux, containers, networking, storage, and security. • Experience building reliable multi-tenant services and public APIs. • Led complex infrastructure work from design through production. • Experience using coding agents to build production software. Desirable Skills: • Built a managed Kubernetes, Slurm, inference, database, or container service. • Built Kubernetes schedulers, operators, admission controllers, CNI plugins, or CSI plugins. • Worked on bare-metal, HPC, or AI compute infrastructure. • Built private networking, workload isolation, or enterprise identity features. • Operated macOS or Apple Silicon infrastructure at scale. • Built infrastructure that software agents can operate safely. Benefits: • Equity, Health Care etc Salary: • $250,000 Base Salary

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