Platform Engineer

The role

You will build a distributed system and an orchestrator for running millions to billions of AI agents. The role involves managing sandboxes, live migrations, and building an observability stack starting at the kernel level.

What you will do

• Building a distributed system for millions and billions of AI agents
• Building an orchestrator for placing sandboxes in the right nodes
• Adding support for sandbox live migrations
• Making sure self-hosting DX is as smooth as possible
• Ensuring sandboxes start in less than 200ms
• Scaling to millions and later billions of sandboxes
• Building an observability stack starting at the kernel level of virtual machines

Required qualifications

• 5+ years building distributed systems
• Operated infrastructure at serious scale (100K+ RPS, multi-region, PB-scale data)
• Deep Linux internals expertise
• Comfortable working at the kernel level
• VM hypervisor experience with Firecracker, QEMU, KVM, or similar
• Systems programming skills in Go, Rust, or C/C++
• Production orchestration experience with Kubernetes, Nomad, or custom systems
• Performance obsession
• Networking expertise
• Located in San Francisco or willing to relocate

Nice to have

• Experience with userfaultfd (UFFD), copy-on-write mechanisms, or lazy loading
• GPU passthrough or PCIe device virtualization experience
• Built or maintained infrastructure for AI/ML workloads
• Contributions to Firecracker, Cloud Hypervisor, or similar open source projects
• Experience with observability at scale (distributed tracing, kernel-level metrics)

Benefits

• Healthcare, vision, and dental insurance
• Unlimited PTO
• 401k
• Variety of perks for in-office employees

About the company

E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. They build the Agent Cloud and power infrastructure for AI labs and consumer and enterprise agents.