Lead complex infrastructure projects as a Staff Software Engineer at Anthropic, focusing on distributed systems for AI models.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 14 hours ago
Joblaze summary
In this role, the Staff Software Engineer will lead complex infrastructure projects that support the development and deployment of AI systems, ensuring reliability and scalability. Key skills include experience with large-scale distributed systems, proficiency in programming languages like Python or Go, and familiarity with cloud infrastructure such as Kubernetes. This position is ideal for seasoned engineers with a strong background in technical leadership and a passion for building robust systems. Anthropic emphasizes collaboration across teams, making it a dynamic environment for impactful work.
Quick facts
- Is the Staff Software Engineer, Infrastructure (Distributed Systems) role remote?
- It's hybrid — Anthropic expects some on-site time in London, UK.
- What's the salary range?
- Anthropic lists £325,000–£390,000 for this role.
- How much experience is required?
- At least 10 years of relevant experience for this Staff Software Engineer, Infrastructure (Distributed Systems) role.
- Where is the role based?
- Anthropic is hiring for this position in London, UK.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, GCP, Go, Java, Kubernetes, Python.
- Does Anthropic sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Anthropic targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Software Engineer, Infrastructure (Distributed Systems) role at Anthropic.
From the original posting
About Anthropic
About the role
Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models. That includes data pipelines, some of the largest Kubernetes clusters in the world, and the databases, observability, and developer tooling that every other team at Anthropic depends on.
As a Staff Software Engineer on the Infrastructure team, you'll scope and lead complex, multi-month infrastructure projects, make the architectural decisions other engineers build on, and work with research and product teams to build systems that keep pace as their needs change.
Team placement happens after the interview process, based on your interests and experience alongside organizational needs. This helps us match you with the team where you'll have the most impact.
Key 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
Minimum qualifications
- 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
Preferred qualifications
- 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
The annual compensation range for this role is listed below.
Annual Salary:
£325,000—£390,000 GBP
Logistics
Standard company text repeated across Anthropic's postings is omitted here.