
Staff Software Engineer, Kubernetes Platform
About this role
The Staff Software Engineer, Kubernetes Platform role at Anthropic in London involves owning and scaling large infrastructure to support frontier AI models. This position suits an experienced distributed systems engineer looking to solve massive scale and performance challenges.
Role Overview
Anthropic operates one of the largest AI compute fleets in the industry to research, train, and serve frontier AI models. The Kubernetes Platform team manages the underlying control plane that drives these expansive fleets across multiple datacenters and cloud providers. Operating at a scale where standard configurations no longer suffice, this team designs custom schedulers, optimizes the core control plane, and guarantees high availability and correctness. The selected candidate will directly influence how safely and reliably the company can expand its compute footprint.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Anthropic is a public benefit corporation dedicated to building reliable, interpretable, and steerable AI systems that remain safe and beneficial for society. Operating with an empirical science mindset similar to physics and biology, the organization functions as a single cohesive team tackling large-scale research initiatives.
How to Apply
Interested candidates should submit their application directly on the official Anthropic careers page.
Skills and tech stack
Questions candidates ask
What is the location of this role?
This position is located in London, UK, with a location-based hybrid policy requiring staff to be in the office at least 25% of the time.
What is the salary range for the Staff Software Engineer, Kubernetes Platform position?
The annual salary range is between £325,000 and £485,000 GBP.
Does Anthropic offer visa sponsorship for this role?
Yes, Anthropic does sponsor visas and provides assistance through a retained immigration lawyer if an offer is extended.
How many years of experience are required?
The role requires 12+ years of relevant industry experience, including time spent leading large and ambiguous infrastructure projects.
What programming languages are expected?
Candidates should have proficiency in at least one systems-appropriate language such as Python, Rust, C++, or Go.