Member of Technical Staff, Platform - AI Infrastructure
Hamilton Barnes · hamilton-barnes.com
United StatesLead / Manager
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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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