Distributed Systems Engineer
ABOUT E2B
E2B is a fast-growing Series A startup with 8-figure revenue. We've raised over $37M since our founding in 2023. Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents.
ABOUT THE ROLE
You will be building the next cloud platform for running AI software - a cloud where AI apps are building other software apps.
Your job will be:
1. Building a distributed system for millions and billions of AI agents running on E2B
2. Building an orchestrator for placing sandboxes in the right nodes
3. Adding support for sandbox live migrations
4. Making sure our self-hosting DX is as smooth as possible (we’re open-source)
5. Not letting our sandboxes take more than 200ms to start (starting with the user hitting enter)
6. Scaling to millions and later billions of sandboxes running at the same time
7. Building an observability stack starting at the kernel level of virtual machines
We’re looking for an infrastructure engineer passionate about making things run fast and efficiently, and running A LOT of them at the same time.
If you aren’t afraid of going into the kernel of a VM and words like Firecracker, eBPF, UFFD, block device, L4 load balancing, noisy neighbor problem, or hugepages sound exciting to you, we want to hear from you!
WHAT WE'RE LOOKING FOR
- 7+ years building distributed systems - You've operated infrastructure at serious scale (100K+ RPS, multi-region, PB-scale data) and understand the trade-offs between consistency, availability, and partition tolerance in practice, not just theory
- Deep Linux internals expertise - You're comfortable working at the kernel level. You've debugged performance issues using eBPF, understand CPU scheduling, memory management, and can explain the difference between cgroups v1 and v2 without looking it up
- VM hypervisor experience - You've worked with Firecracker, QEMU, KVM, or similar. You understand virtio, know w...