About the job
Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models, including data pipelines, some of the largest Kubernetes clusters in the world, along with the databases, observability, and developer tooling that every other team at Anthropic depends on. As a Staff+ Software Engineer on our Infrastructure team, you'll independently scope and lead complex, multi-month infrastructure projects, make the architectural decisions other engineers build on, and work closely with research and product teams to understand their needs and build systems that keep pace as those needs evolve.
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 of infrastructure other engineers and teams build on
Drive alignment on technical direction across multiple teams, working through ambiguous problem spaces
Partner with research and product teams to understand their infrastructure and compute needs, and translate them into technical designs
Take ownership of 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, that help the team learn from every incident
Mentor other engineers and help raise the technical bar for the team
Qualifications
Minimum
Experience designing, building, and operating large-scale distributed systems or infrastructure in production
A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects
Experience making architectural decisions that other engineers and teams build on top of
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 multiple teams or stakeholders
Preferred
10+ years of software engineering experience, not including internships
Experience with machine learning infrastructure, such as GPUs, TPUs, or Trainium, and associated networking infrastructure 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