🛠 Tech Stack

💼 About This Role

You'll own and extend the Kubernetes control plane for one of the largest clusters in the industry. Your work will directly determine whether Anthropic can reliably train frontier models as compute grows. You'll collaborate with cloud providers and research teams to turn novel requirements into platform capabilities.

🎯 What You'll Do

• Own, operate, and extend the Kubernetes scheduler for accelerator fleets
• Scale the Kubernetes control plane (apiserver, etcd, controller-manager) beyond typical limits
• Design, build, and operate core cluster services like service discovery
• Build and maintain custom controllers, operators, and CRDs

📋 Requirements

• Significant software engineering experience in production distributed systems
• Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++)
• Deep, hands-on Kubernetes experience beyond user level (scheduler, controllers, apiserver, or large multi-tenant clusters)
• Demonstrated ability to debug complex issues across the stack from API to network level

✨ Nice to Have

• Experience with Kubernetes internals or contributions (kube-scheduler, apiserver, etcd)
• Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul)
• Familiarity with ML infrastructure: GPUs, TPUs, gang scheduling, topology-aware placement

🎁 Benefits & Perks

• 💷 Competitive annual salary (GBP 325k-485k)
• 🌍 Hybrid work model (in office at least 25% of the time)
• 🛂 Visa sponsorship offered
• 📚 Education requirement bachelor's degree or equivalent

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical phone interview· 60 min
3. 3On-site / virtual interviews (3-4 rounds)· 4 hours
4. 4Offer