Staff+ Software Engineer, Kubernetes Platform

Overview

Own and extend Anthropic’s Kubernetes Platform, focusing on scheduling and operating the Kubernetes control plane for large accelerator fleets used to train and serve frontier AI models.

What you'll do

• Own, operate, and extend the Kubernetes scheduler for accelerator fleets, including scheduling plugins and policies.
• Scale Kubernetes control plane components (apiserver, etcd, controller-manager) to support clusters beyond typical limits.
• 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 requirements into platform capabilities.
• Participate in on-call and lead incident response and continuous improvement processes (postmortems, runbooks, 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 into scheduler, controllers, apiserver, or large multi-tenant clusters.
• Ability to debug complex issues across the stack down 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 stakeholders.