Senior Staff+ Software Engineer, Kubernetes Platform

• Own, operate, and extend the Kubernetes control plane that powers some of the largest Kubernetes clusters in the industry — fleets of hundreds of thousands of nodes across multiple cloud providers and datacentres. • Work at a scale where the defaults stop working, extending the scheduler for topology-sensitive ML workloads across thousands of accelerators and scaling the control plane as object and node counts grow by orders of magnitude. • Directly determine whether Anthropic can keep reliably and safely training frontier models as the compute footprint continues to grow. • Be based in London with a hybrid policy expecting at least 25% of time in the office.

• Bring significant software engineering experience building and operating production distributed systems. • Be proficient in at least one systems-appropriate language such as Go, Python, Rust, or C++. • Have deep, hands-on Kubernetes experience well beyond "user of" — into scheduler, controllers, apiserver, or operating large multi-tenant clusters. • Demonstrate ability to debug complex issues across the stack, from API behaviour down to node and network-level root causes. • Have a track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on. • Communicate strongly in writing and verbally, with comfort building consensus with internal stakeholders.

• Have experience with Kubernetes internals or contributions: kube-scheduler/scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar. • Have experience building or operating cluster schedulers or batch systems such as Kueue, Volcano, Slurm, or in-house equivalents. • Bring a background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments). • Be familiar with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL. • Have experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code. • Bring low-level systems experience such as Linux kernel tuning, cgroups, or eBPF. • Have 12+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects.

• 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 you. • 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. • Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures.

• Receive competitive compensation between £325,000 and £485,000 GBP annually. • Get visa sponsorship where possible — Anthropic retains an immigration lawyer to support this. • Take generous parental leave. • Enjoy generous vacation and flexible working hours. • Optional equity donation matching. • Work on Kubernetes at a scale very few organisations operate at, directly enabling frontier AI training.

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. They want AI to be safe and beneficial for users and society as a whole. The team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is a public benefit corporation offering competitive compensation and benefits.