# Platform Engineer at E2B

- Company: E2B
- What the company does: The AI Agent Cloud. An isolated machine for every AI agent: run code, browse, use tools, pause, fork. In our cloud or your AWS or GCP account. 100K+ teams, 1B+ sandboxes started. Backed by Insight.
- Company website: https://e2b.dev/
- Type: Startups
- Level: Mid level
- Location: San Francisco
- Work setup: On-site
- Pay: $250K to $350K base salary per year (USD)
- Posted: 2025-09-29
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/e2b/c8c15520-cfd9-4b04-a902-e60a098aa96c
- Page: https://www.1752.vc/careers/jobs/e2b-platform-engineer/

## 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.

## What they're looking for

- 5+ 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 what a hypercall is, and have opinions about nested virtualization trade-offs
- Systems programming skills - Strong in at least one of: Go, Rust, C/C++. You've written performance-critical code and know when to reach for lock-free data structures, memory-mapped files, or io_uring
- Production orchestration experience - You've built or operated orchestration systems (Kubernetes, Nomad, or custom). You understand bin-packing algorithms, resource scheduling, and have dealt with noisy neighbor problems at scale
- Performance obsession - You've shaved milliseconds off hot paths, understand CPU caches and memory locality, and have profiled production systems under load. You know what "p99 latency" means and care deeply about making it better

Tags: Engineering