Staff Infrastructure Engineer, Distributed Systems (Hybrid)

Anthropic Limited

Greater London

Hybrid

GBP 110,000 - 170,000

Full time

14 days+
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Job summary

Anthropic Limited in London, UK, is seeking a Staff Software Engineer for Infrastructure (Distributed Systems). You will lead multi-month infrastructure initiatives, define architectural directions, and collaborate with research and product teams to build scalable, secure systems.

The role emphasizes reliability and cross-team technical leadership. Ideal candidates will have deep experience with distributed systems, Kubernetes, and cloud platforms, plus a passion for building robust, auditable

Qualifications

  • Bachelor’s degree or equivalent in computer science or related field.
  • 10+ years of software engineering experience.
  • Strong background in distributed systems and large-scale infra.

Responsibilities

  • Independently scope and lead complex, multi-month infrastructure projects
  • Make architectural decisions shaping foundations other engineers build on
  • Drive alignment on technical direction across teams
  • Partner with research and product teams to translate needs into designs
  • Own reliability, scalability, and security as usage grows
  • Set technical strategy and standards for the team
  • Improve incident response, postmortems, and on-call processes
  • Mentor engineers and raise technical bar
  • Design, build, and operate large-scale distributed systems in production
  • Deliver complex projects from start to finish in ambiguous contexts

Skills

Distributed systems
Software engineering
Architectural decisions
Mentoring

Education

Bachelor's degree

Tools

Kubernetes
AWS
GCP
IaC

Job description

Anthropic Limited in London, UK, is seeking a Staff Software Engineer for Infrastructure (Distributed Systems). You will lead multi-month infrastructure initiatives, define architectural directions, and collaborate with research and product teams to build scalable, secure systems.

The role emphasizes reliability and cross-team technical leadership. Ideal candidates will have deep experience with distributed systems, Kubernetes, and cloud platforms, plus a passion for building robust, auditable

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