Senior Kubernetes Platform Engineer – AI Compute Fleet

Anthropic Limited; City Of London; Ibrido; GBP 325.000 - 485.000; Tempo pieno

Vantaggi offerti da questo lavoro

Generous vacation and parental leave

Flexible working hours

Equity donation matching

Office in London

Descrizione del lavoro

Anthropic seeks a seasoned engineer to own and extend the Kubernetes scheduler for its accelerator fleets. You will scale the control plane, design core services, and build controllers that enable large-scale, reliable AI compute work.

Strong candidates will have deep Kubernetes expertise, production distributed-systems experience, and excellent communication to align research, training, and infra teams. Hybrid/office policy applies in our London offices.

Competenze

• Significant software engineering experience building and operating production distributed systems.
• Proficiency in Go, Python, Rust, or C++ with strong debugging skills.
• Deep Kubernetes experience beyond basic usage, including scheduler and controllers.
• Strong ability to design for reliability and clear failure semantics.
• Excellent written and verbal communication; ability to build consensus.

Mansioni

• Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets.
• Scale the Kubernetes control plane to support very large clusters.
• Design and operate core cluster services such as service discovery.
• Build and maintain custom controllers, operators, and CRDs.
• Collaborate with research, training, and inference to turn workload needs into platform features.
• Partner with cloud providers on features and escalations; participate in on-call and incident response.

Conoscenze

Kubernetes

Distributed systems

Go

Python

C++

Communication

Strumenti

GCP

AWS

Linux

Descrizione del lavoro

Anthropic seeks a seasoned engineer to own and extend the Kubernetes scheduler for its accelerator fleets. You will scale the control plane, design core services, and build controllers that enable large-scale, reliable AI compute work.

Strong candidates will have deep Kubernetes expertise, production distributed-systems experience, and excellent communication to align research, training, and infra teams. Hybrid/office policy applies in our London offices.