Staff Software Engineer, Kubernetes Platform
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.
What this role actually needs.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Responsibilities: - Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption - Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us - Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on - Build and maintain custom controllers, operators, and CRDs - Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities - Collaborate with cloud providers on required features and escalations Requirements: - Significant software engineering experience building and operating production distributed systems - Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++) - Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters - Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes - A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on - Strong written and verbal communication; comfort building consensus with internal stakeholders Company context: Anthropic is an AI safety company building Claude, a frontier-model assistant for developers, enterprises, and consumers.
Day-to-day expectations
Anthropic lists these responsibilities for the Staff Software Engineer, Kubernetes Platform role.
- Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption
- Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us
- Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on
- Build and maintain custom controllers, operators, and CRDs
- Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities
- Collaborate with cloud providers on required features and escalations
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Significant software engineering experience building and operating production distributed systems
- Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++)
- Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters
- Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes
- A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on
- Strong written and verbal communication; comfort building consensus with internal stakeholders
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On-site roles in New York City should be compared against commute, local salary bands, and nearby employer demand.
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Source: job-boards.greenhouse.io · Source ID: 5211241008 · Confidence: 97/100 · Last checked: May 7, 2026
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