Staff Software Engineer, Kubernetes Platform

Overview

Own and extend Anthropic’s Kubernetes platform for large-scale AI compute fleets. Build and operate the control plane and cluster services that keep training and serving frontier AI models fast, correct, and available.

What you'll do

• Own, operate, and extend the Kubernetes scheduler for accelerator fleets.
• Scale the Kubernetes control plane components (apiserver, etcd, controller-manager) for large clusters.
• Design, build, and operate core cluster services such as service discovery.
• Build and maintain custom controllers, operators, and CRDs.
• Partner with research, training, and inference teams to translate workload needs into platform capabilities.
• Collaborate with cloud providers on required features and escalations.
• Participate in on-call, lead incident response, and contribute to postmortems, runbooks, and SLOs.

What you'll need

• Significant experience building and operating production distributed systems.
• Proficiency in at least one systems-appropriate language (Go, Python, Rust, or C++).
• Deep, hands-on Kubernetes experience in scheduler, controllers, apiserver, or multi-tenant cluster operations.
• Ability to debug complex cross-stack issues from API behavior to node and network-level root causes.
• Track record designing for reliability, correctness, and clear failure semantics.
• Strong written and verbal communication and comfort building consensus with internal stakeholders.

Details

• Location-based hybrid policy: in one office at least 25% of the time.
• 12+ years of relevant industry experience.