Distributed Systems Engineer

About E2BE2B 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 RoleYou will be building the next cloud platform for running AI software - a cloud where AI apps are building other software apps.Your Job Will BeBuilding a distributed system for millions and billions of AI agents running on E2BBuilding an orchestrator for placing sandboxes in the right nodesAdding support for sandbox live migrationsMaking 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 timeBuilding an observability stack starting at the kernel level of virtual machinesWe’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 For7+ 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 theoryDeep 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 upVM 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-offsSystems 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_uringProduction 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 scalePerformance 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 betterNetworking expertise - Strong understanding of L4/L7 load balancing, network namespaces, iptables/nftables, and how to build secure, isolated network topologies for multi-tenant systemsLocated in San Francisco or willing to relocate - We work in person as a team and believe in the magic that happens when engineers collaborate face-to-face on hard problemsExcited about open source - Comfortable with our code and infrastructure being public. You contribute to discussions, write clear documentation, and help the community succeed with self-hostingBonus Points ForExperience with userfaultfd (UFFD), copy-on-write mechanisms, or lazy loadingGPU passthrough or PCIe device virtualization experienceBuilt or maintained infrastructure for AI/ML workloadsContributions to Firecracker, Cloud Hypervisor, or similar open source projectsExperience with observability at scale (distributed tracing, kernel-level metrics)What It’s Like To Work At E2BWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Perplexity, Hugging Face, and other exciting teams pushing the frontier of AI.We cover full healthcare, vision, and dental insurance, and offer unlimited PTO.Compensation Range: $250K - $400K