Staff Software Engineer, Kubernetes Platform

Humanloop; Greater London; Hybrid; GBP 57,000 - 73,000; Full time

Benefits offered by this job

Equity donation matching

Generous vacation

Parental leave

Flexible working hours

Collaborative office space

Job summary

Anthropic seeks a senior systems/engineering leader to own and extend the Kubernetes scheduler for accelerator fleets, building custom plugins and scaling the control plane. You’ll design core cluster services and collaborate with research, training, and inference teams to translate workload needs into platform capabilities.

You will work with cloud providers, participate in on-call duties, and help establish postmortems, runbooks, and SLOs to prevent repeated failures.

Qualifications

• Significant software engineering experience building and operating production distributed systems.
• Proficiency in Go, Python, Rust, or C++.
• Deep Kubernetes experience including schedulers, controllers, apiserver, or large multi-tenant clusters.
• Strong debugging across stack from API to network-level root causes.
• Design for reliability, correctness and clear failure semantics.

Responsibilities

• Own, operate, and extend the Kubernetes scheduler for accelerator fleets with custom scheduling plugins.
• Scale the Kubernetes control plane to support large clusters.
• Design, build, and operate core cluster services used by workloads.
• Build and maintain custom controllers, operators, and CRDs.
• Collaborate with research, training, and inference to translate workload requirements into platform capabilities.
• Partner with cloud providers on required features and escalations.
• Participate in on-call and incident response; design postmortems, runbooks, and SLOs.

Skills

Distributed systems

Go

Python

Rust

C++

Debugging complex issues

Reliability design

Communication

Leadership

Bachelors degree

Education

Bachelors degree or equivalent

Tools

Kubernetes

etcd

ZooKeeper

Consul

kube-scheduler

apiserver

controller-runtime

Job description

Salary: £57,000 - 73,000 per year

Requirements

• Significant software engineering experience building and operating production distributed systems
• Proficiency in at least one systems-appropriate language such as Go, Python, Rust, or C++
• Deep, hands-on Kubernetes experience beyond basic usage, including scheduler, controllers, apiserver, or operating large multi-tenant clusters
• Demonstrated ability to debug complex issues across the stack, from API behavior 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 skills, with comfort building consensus with internal stakeholders
• Experience with Kubernetes internals or contributions such as kube-scheduler, the scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar
• Experience building or operating cluster schedulers or batch systems such as Kueue, Volcano, Slurm, or in-house equivalents
• Background scaling control planes or coordination systems such as etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments
• Familiarity with ML infrastructure such as GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; or 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
• Bachelors degree or an equivalent combination of education, training, and/or experience
• A field relevant to the role as demonstrated through coursework, training, or professional experience

Responsibilities

• Own, operate, and extend the Kubernetes scheduler for our accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption
• Scale the Kubernetes control plane, including apiserver, etcd, and controller-manager, to support clusters far beyond typical limits, and identify 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 translate requirements into platform capabilities
• Collaborate with cloud providers on required features and escalations
• Participate in on-call, lead incident response, and design processes such as postmortems, runbooks, and SLOs to help the team avoid repeating failures

Technologies

• AI
• API
• AWS
• Cloud
• GCP
• Support
• Kubernetes
• Linux
• Network
• Python
• Rust
• ZooKeeper
• NodeJS

More

We are Anthropic, a public benefit corporation headquartered in San Francisco, building reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. Our Kubernetes Platform team runs one of the industrys largest AI compute fleets across multiple cloud providers and datacenters, and we own the control plane that keeps it operating at scale. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office space. We also have a location-based hybrid policy requiring staff to be in one of our offices at least 25% of the time, and we sponsor visas on a case-by-case basis where possible.

last updated 36 week of 2026