E2B
Platform Engineer
San Francisco
Sponsorship not specifiedDetected 296 days ago
GoRustDistributed SystemsData StructuresAlgorithmsCloud PlatformsKubernetesLinuxPlatform EngineeringMachine LearningAgentic AILoad Balancing
About the role
- Making sure our self-hosting DX is as smooth as possible (we're open-source)
- Not letting our sandboxes take more than 200ms to start (starting with the user hitting enter)
- Scaling to millions and later billions of sandboxes running at the same time
Responsibilities
- Building a distributed system for millions and billions of AI agents running on E2B
- Building an orchestrator for placing sandboxes in the right nodes
- Adding support for sandbox live migrations
- Building an observability stack starting at the kernel level of virtual machines
Requirements
- Deep Linux internals expertise - You're comfortable working at the kernel level.
- Production orchestration experience - You've built or operated orchestration systems (Kubernetes, Nomad, or custom).
- You know what "p99 latency" means and care deeply about making it better
- Strong understanding of L4/L7 load balancing, network namespaces, iptables/nftables, and how to build secure, isolated network topologies for multi-tenant systems
- Deep Linux internals expertise
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)
Skills
- Production orchestration experience
- Performance obsession
- Networking expertise
- Located in San Francisco or willing to relocate
- Excited about open source
Company info
- 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.
This listing is sourced directly from E2B's careers page and normalized into a canonical job model.