Staff Software Engineer, Kubernetes Platform

• Join Anthropic’s Kubernetes Platform team as a Staff Software Engineer in London. • Own the control plane behind one of the industry’s largest AI compute fleets. • Work across multiple cloud providers and datacentres at a scale where the defaults stop working. • Extend the scheduler to place topology-sensitive ML workloads across thousands of accelerators. • Keep the control plane fast, correct and always available as the fleet grows. • Earn £325,000–£485,000, working from the London office at least 25% of the time.

• Bring significant experience building and operating production distributed systems. • Write Go, Python, Rust, C++ or another systems language proficiently. • Bring deep, hands-on Kubernetes experience with the scheduler, controllers, apiserver or large multi-tenant clusters. • Debug complex issues across the stack, from API behaviour down to node and network root causes. • Show a track record of designing reliable systems with clear failure semantics. • Communicate clearly and build consensus with internal stakeholders. • Take part in on-call and incident response. • Hold a bachelor’s degree or an equivalent mix of education, training and experience.

• Show experience with or contributions to Kubernetes internals, such as kube-scheduler, etcd or controller-runtime. • Bring experience with cluster schedulers or batch systems such as Kueue, Volcano or Slurm. • Show experience scaling control planes or coordination systems such as etcd, ZooKeeper or Consul. • Know ML infrastructure, including GPUs, TPUs or Trainium, gang scheduling and NCCL. • Bring experience with GCP or AWS, including GKE or EKS internals and Infrastructure as Code. • Show low-level systems experience with kernel tuning, cgroups or eBPF. • Bring 12+ years of industry experience, including leading large, ambiguous infrastructure projects.

• Own and extend the Kubernetes scheduler, including plugins for gang scheduling, topology awareness and preemption. • Scale the apiserver, etcd and controller-manager far beyond typical cluster limits. • Find the next control plane bottleneck before it causes problems. • Build and operate core cluster services such as service discovery. • Build and maintain custom controllers, operators and CRDs. • Turn research, training and inference workload needs into platform capabilities. • Work with cloud providers on required features and escalations. • Lead incident response and build postmortem, runbook and SLO processes.

• Earn £325,000–£485,000 a year. • Receive visa sponsorship, supported by a retained immigration lawyer. • Enjoy generous vacation and parental leave. • Work flexible hours with a hybrid setup of at least 25% in the office. • Get optional equity donation matching. • Solve Kubernetes problems at a scale few engineers ever see.

Anthropic is a public benefit corporation headquartered in San Francisco, with a mission to create reliable, interpretable and steerable AI systems. It works as a single cohesive team on a few large-scale research efforts, treating AI research as an empirical science. Its team includes researchers, engineers, policy experts and business leaders building AI that is safe and beneficial for society.