Location San Francisco Employment Type Full time Location Type On-site Department Engineering Compensation $200K – $350K • Offers Equity 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 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 own the Terraform, Kubernetes, and cloud plumbing that lets E2B run millions of sandboxes. Today our infrastructure runs on Nomad and Terraform across Google Cloud, with multi-cloud expansion in flight. You'll help migrate us to Kubernetes, builds reusable Terraform components, and harden our self-hosted and BYOC deployments. Your job will be: Making our BYOC offering ready for AWS, Google Cloud, and Azure marketplaces Owning and extending our Terraform footprint across Google Cloud, AWS, and Azure Building reusable Terraform components (networking, IAM, secrets) Wiring up observability and tightening the loop between infra change and production behavior Making BYOC and self-hosted deployments fast and repeatable for our largest customers We're looking for an infrastructure engineer who actually wants to live in Terraform and Kubernetes every day, and who reaches for modern AI tooling to move faster. If words like Terraform modules, Kubernetes operators, GCP VPCs, IAM bindings, Cloudflare workers, and BYOC deployments sound like a good Tuesday, we want to hear from you. What we're looking for 5+ years operating production cloud infrastructure - You've owned Terraform and at least one orchestrator (Kubernetes, Nomad, ECS) in production. You've built modules, managed state, debugged drift, and managed production incidents. Hands-on Kubernetes at meaningful scale - You've operated Kubernetes clusters past the tutorial stage: real workloads, real traffic, real on-call. You can speak to ingress, RBAC, and autoscaling. Multi-cloud comfort, with one cloud at expert depth - You've built and operated on Google Cloud, AWS, or Azure. Configured VPCs, managed IAM, set up private networking, debugged routing and DNS. We're primarily on GCP today and expanding; bring depth in at least one and be willing to ramp on the others. Terraform as a first-class skill - You read other people's modules without flinching, write your own when needed, and have opinions about state, workspaces, and module boundaries. Comfortable reading and writing code when the work crosses out of YAML - You won't be writing product Go. But you should read Go and Terraform fluently, contribute small fixes, and not be lost when a debug session moves from config into source. Startup-pace tolerance - You've worked at a small team where ambiguity is the default and "figure it out" is the assignment. You don't need a ticket to start, and you push back when something doesn't make sense. Familiarity with high scale environments - Either a high-traffic online product where you owned scaling problems, or an infrastructure-product company where infra was the product. Both work. Excited to work in person from San Francisco on a DevTool product - We work as a team in person and the work moves faster when we're in the same room. Bonus points for Deep cloud expertise in AWS, GCP, or Azure Experience building self-hosted or BYOC deployments for enterprise customers Contributions to open-source infrastructure projects (Terraform providers, Kubernetes operators, Cloudflare modules) Experience helping infra-side AI tooling (Claude, Codex) carry real production migrations What it’s like to work at E2B We’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: $200K - $350K