Anthropic’s Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models. The Staff Software Engineer, Infrastructure (Distributed Systems) role focuses on scoping and leading complex, multi‑month infrastructure projects, making architectural decisions that influence the broader engineering organization, and collaborating with research and product teams to design systems that meet evolving compute and reliability needs.
Staff Software Engineer, Infrastructure (Distributed Systems) at Anthropic
On-site - London, UK
More jobs at AnthropicRequirements
Skills
- Experience designing, building, and operating large-scale distributed systems or infrastructure in production
- A history of independently scoping and delivering complex, ambiguous, multi-month technical projects
- Experience making architectural decisions that other engineers and teams build on
- Strong software engineering fundamentals and proficiency in at least one programming language (for example, Python, Rust, Go, or Java)
- Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCP
- Strong written and verbal communication skills, with experience driving alignment across teams or stakeholders
- 10+ years of software engineering experience, not including internships
- Experience with machine learning infrastructure such as GPUs, TPUs, or Trainium, and associated networking like NCCL
- Low-level systems experience, such as Linux kernel tuning or eBPF
- Background in security or privacy engineering best practices
- Prior experience as a technical lead or mentor for other engineers
Responsibilities
- Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system
- Make architectural decisions that shape the foundation other engineers and teams build on
- Drive alignment on technical direction across teams, working through ambiguous problem spaces
- Partner with research and product teams to understand their infrastructure and compute needs, and turn them into technical designs
- Own the reliability, scalability, and security of the systems you build as usage and complexity grow
- Set technical strategy and standards for your team's infrastructure
- Build and improve operational processes such as incident response, postmortems, and on-call rotations, so the team learns from every incident
- Mentor other engineers and help raise the technical bar for the team
Technologies
Distributed systemsKubernetesCloud infrastructure (AWS, GCP)Infrastructure-as-codePythonRustGoJavaMachine learning infrastructure (GPUs, TPUs, Trainium)NCCLLinux kernel tuningeBPFSecurity and privacy engineering best practices
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