# Senior Staff+ Software Engineer, Kubernetes Platform at Anthropic

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Own and extend the Kubernetes scheduler:

- **Company:** Anthropic (https://jobs.trythestack.co/companies/anthropic)
- **Location:** London, UK, United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 10+ years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Kubernetes, Distributed Systems, Go, Python, Rust, C++, Kubernetes Scheduler, Control Plane Scaling, Service Discovery, Custom Controllers, CRDs, ML Infrastructure, GCP, AWS, Linux Kernel Tuning, eBPF
- **Posted by employer:** 2026-06-03
- **Added to The Stack:** 2026-06-03
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://job-boards.greenhouse.io/anthropic/jobs/5211305008 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-staff-software-engineer-kubernetes-platform-anthropic

## About the role

Responsibilities:
- Own and extend the Kubernetes scheduler: implement custom plugins, gang scheduling, topology-aware placement, and preemption policies.
- Scale control plane components (apiserver, etcd, controllers) to support extremely large clusters and high object counts.
- Design, build, and operate core cluster services (service discovery, networking, etc.) that must sustain heavy ML workloads.
- Implement and maintain custom controllers, operators, and CRDs to express platform capabilities.
- Collaborate with research, training, and inference teams to translate workload shapes into platform features.
- Lead incident response, on-call rotations, runbooks, postmortems, and SLO-driven reliability improvements.

Requirements:
- Significant production experience building and operating distributed systems at scale.
- Proficiency in systems languages (Go, Python, Rust, or C++) and strong engineering fundamentals.
- Deep, hands-on knowledge of Kubernetes internals—scheduler, apiserver, controllers, and etcd—beyond typical user-level experience.
- Proven ability to debug complex cross-stack issues (API, network, node-level) and design for reliability and correct failure semantics.
- Strong written and verbal communication; ability to build consensus with internal stakeholders.

Preferred:
- Experience operating very large multi-tenant clusters, ML/accelerator workloads, cloud provider collaboration, and kernel-level tuning (e.g., cgroups, eBPF).

## Responsibilities

Own and extend the Kubernetes scheduler and control plane to support massive accelerator fleets for AI training and inference. Design and operate core cluster services and custom controllers to ensure reliability and scalability at an extreme scale.

## Requirements

Requires significant experience building production distributed systems and deep internal knowledge of Kubernetes components. Candidates should have a track record of designing for reliability and proficiency in systems languages like Go, Python, Rust, or C++.

## FAQ

- **Is this Senior Staff+ Software Engineer, Kubernetes Platform role still open?** It was posted on 2026-06-03. Listings more than 30 days old may no longer be active, so check Anthropic's site before applying.
- **Does Anthropic offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Anthropic's site.
- **Where is this role located?** The listing gives the location as London, UK, United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Kubernetes, Distributed Systems, Go, Python, Rust, C++, Kubernetes Scheduler, Control Plane Scaling, Service Discovery, Custom Controllers, CRDs, ML Infrastructure, GCP, AWS, Linux Kernel Tuning, eBPF.

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