About the role
What we're looking for:
We need someone with 5+ years of experience building and scaling low-level distributed systems who has delivered meaningful, zero-to-one infrastructure at a prestigious organization. You should be comfortable working in a fast-paced, early-stage startup environment (in-person 5 days/week in NYC) and have a track record of materially impacting the trajectory of engineering teams and infrastructure at scale. Bonus points if you've founded or been early at a startup that grew into a recognized leader, or have publications, patents, or conference talks to your name.
What you'll do:
- Design, build, and scale distributed systems infrastructure that orchestrates tens of millions of Firecracker VMs monthly across a global fleet of bare-metal machines
- Take ownership of critical systems challenges as compute capacity triples — including storage, networking, and scheduling at petabyte scale
- Work closely with the technical co-founders and a small, elite engineering team to solve hard infrastructure problems from first principles
- Develop and optimize performance-critical systems using low-level languages (Go, Rust, C/C++) with a focus on efficiency, correctness, and reliability
- Lead infrastructure projects end-to-end — from design through production — that directly enable large enterprise customers and new product capabilities (agent sandboxes, background coding agents)
- Leverage and orchestrate AI coding agents to accelerate development velocity and push the boundaries of what's possible with autonomous engineering workflows
Key signals we're looking for:
- Built and owned something significant at a prestigious, recognizable organization — not just managed existing infrastructure
- Experience with distributed storage systems (e.g., Ceph, MinIO) or similar large-scale data systems
- Strong IC who can change the direction and trajectory of the engineering team around them