Requirements

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

Nice to Haves

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

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