Staff Software Engineer, Kubernetes Platform

Anthropic · London, UK · Software Engineering - Infrastructure · listed May 7, 2026

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The shape of it

Seniority

Staff

Experience asked

12+ years

Where

Hybrid

Requirements listed

Length

1,101 words

In the posting’s own words

We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow.

What it asks for · 6

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

Also a plus

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

What the job covers

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

Tools and skills named

Cloud & infra

Kubernetes6×
AWS
Distributed systems
GCP
Linux

Languages

C++
Go
Python
Rust

Models & research

Machine learning2×
GPU
Inference

Frameworks

Node.js2×

Ways of working

On-call

Words the posting leans on

experience7×
kubernetes6×
cluster5×
systems5×
control plane4×
fleets4×
operating4×
scheduler4×
scheduling4×
service4×
workload4×
apiserver etcd3×
build3×
controllers3×
depends3×
infrastructure3×

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