--- title: 'Site Reliability Engineer at E2B' canonical: 'https://feeny.ai/job/site-reliability-engineer-e2b-san-francisco-zpwjsn7fvkgg' type: 'job' last_seen: '2026-11-09' --- # Site Reliability Engineer at E2B - **Company:** E2B - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-11-03 - **Last confirmed live:** 2026-11-09 - **Apply:** https://jobs.ashbyhq.com/e2b/657ce888-be70-46cf-975f-ca7788694fdc ## Job description ## About E2B E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish. ## About the role You'll build and operate the infrastructure that runs E2B in customers' AWS, Google Cloud, and Azure environments. You'll develop reusable Terraform modules, Helm charts, and automation for Kubernetes deployments, and take responsibility for how that infrastructure runs in production. The work spans cloud-specific integrations, upgrades, and the tools needed to manage a growing fleet of customer environments. You'll work with software engineers across Enterprise Engineering to make customer deployments reliable and easy to operate. ## What you'll do - Build and maintain versioned Terraform modules, Helm charts, and Kubernetes configurations for supported deployments on EKS, GKE, and AKS. - Own the production reliability of customer cluster infrastructure. Improve monitoring, alerting, capacity management, and recovery, and fix recurring operational problems. - Make infrastructure packages reusable across customer environments. Define configuration interfaces, compatibility checks, and release processes, and test installation, scaling, upgrades, rollbacks, and security patches. - Diagnose and resolve problems across Kubernetes, cloud networking, IAM, certificates, and storage, including private connectivity into customer environments. - Work with customer infrastructure and security teams on access controls, secrets management, isolation, and auditability. - Build infrastructure automation and contribute code to the orchestration services that deploy and operate E2B. Develop tests, deployment validation, drift detection, diagnostics, and runbooks that reduce manual work. - Work with FDE, Solutions, and Support on complex deployments and technical escalations, joining customer troubleshooting when needed. You'll participate in production on-call for the components you own. ## What we're looking for - 5+ years of production SRE, infrastructure, or platform engineering experience operating business-critical services. - Deep experience operating and debugging production Kubernetes clusters, including networking, access control, node lifecycle, scheduling, autoscaling, and storage. - Strong Terraform and Helm skills, including production module and chart development, versioning, testing, and upgrades. - Deep expertise in AWS, GCP, or Azure, with the ability to work across providers. You should understand cloud networking, IAM, compute, and storage. - Strong Linux and networking fundamentals, including process isolation, filesystems, DNS, TCP/IP, and troubleshooting resource constraints. - Experience using metrics, logs, and traces to diagnose production issues, and testing recovery procedures. - Ability to write automation in Go, Python, Bash, or similar, and contribute tested changes to existing services. - Ability to explain technical tradeoffs and work through deployment issues with customer infrastructure teams. - Ability to take a problem from investigation through a production fix. ## Nice to have - Building AI agents or applications that use tools, execute code, or run in sandboxes. - BYOC, self-hosted, or managed enterprise software in customer-controlled infrastructure. - Operating large fleets of Kubernetes clusters across organizations or clouds. - GitOps, Argo CD, Flux, Kubernetes operators, or custom controllers. - Air-gapped environments, on-premises deployments, or stringent enterprise security. - OpenTelemetry, Prometheus, Grafana, Loki, or similar observability tools. - Firecracker, microVMs, sandbox isolation, or infrastructure for untrusted workloads. - Building deployment automation or internal infrastructure platforms. - Open-source infrastructure contributions. 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 Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI. We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees. ## About E2B ## Company Overview - **One-liner**: E2B provides open-source, secure sandboxed cloud infrastructure for AI agents to execute code, access tools, and run autonomously. - **Entity Type**: Private (Series A) - **Headquarters**: San Francisco, California, United States (also office in Prague, Czechia) - **Founded**: 2023 - **Founders**: Vasek Mlejnsky (Co-Founder & CEO), Tomas Valenta (Co-Founder & CTO) ## Core Business - **Primary Industry**: Cloud infrastructure for AI agents, secure code execution, developer tools - **Target Customers**: B2B – Enterprise (Fortune 100), AI startups, LLM providers, and developers building agentic workflows - **Mission / Purpose**: “Build and run AI agents with confidence.” – providing enterprise-grade, open-source environments for agents. ## Products & Services - **E2B Sandboxes** (Cloud): Isolated microVM environments (powered by Firecracker) that start in under 200 ms, support any LLM, and run for up to 24 hours. Used for code execution, data analysis, deep research, reinforcement learning, and computer use agents. Available via BYOC, on-prem, or self-hosted on AWS, GCP, Azure. - **Code Interpreter SDK** (SaaS/API): JavaScript and Python SDKs to run AI-generated code inside sandboxes (`@e2b/code-interpreter`). - **Secure MCPs** (API): Infrastructure for Model Context Protocols with full isolation. - **Desktop Sandbox** (Feature): Provides virtual desktop environments for LLMs (computer use agents). ## Market Standing - **Valuation / Market Cap**: Not publicly available (private company) - **Key Metric**: Total Funding – $35 M (Series A $21 M, Seed $11.5 M, Pre-seed $2.5 M) - **Notable Investors / Partners**: - **Lead Investors**: Insight Partners (Series A), Decibel Partners (Seed), KAYA (Pre-seed) - **Partners**: Hugging Face, Manus (case studies); works with OpenAI, Anthropic, Meta Llama, Mistral, and custom models. - **Growth Signals**: - Headcount grew 169 % YoY to 20 employees (LinkedIn) - 7 M+ monthly downloads, 1 B+ sandboxes started - 94 % of Fortune 100 companies use E2B (self-reported) - Open-source GitHub repo has 12,720 stars, 527 releases, active contributor community - Traffic: 196,886 monthly visits (+42 % YoY) ## Competitive Advantages - **Open‑source & LLM‑agnostic**: Works with any model (OpenAI, Llama, Anthropic, Mistral, custom). - **Speed & Isolation**: Sandboxes start in <200 ms; microVM isolation (Firecracker) for untrusted code. - **Enterprise‑grade**: BYOC, on‑prem, VPC deployment, SAML/Okta SSO, GDPR/enterprise security features. - **Deep Integrations**: Supports Python, JavaScript, TypeScript, Go, Ruby, C++, and most Linux packages. - **Large Community**: 12.7 K GitHub stars, active Discord, cookbook with example workflows. ## Strategic Focus - **Scale Enterprise Adoption**: Already serving Fortune 100 clients, aims to become the default cloud for AI agents. - **Product Expansion**: Adding reinforcement learning, deep research agents, and longer sessions (up to 24 h). - **Talent Growth**: Actively hiring 16+ roles (Product Engineer, SRE, Distributed Systems, DevRel, etc.) to accelerate product development. ## Why Work Here - **High‑impact mission**: Build the foundational infrastructure for the next wave of AI – used by the largest tech companies and open‑source community. - **Strong engineering culture**: Cross‑disciplinary team (distributed systems, security, AI) with an open‑source ethos; tech stack includes Python, TypeScript, Go, Kubernetes, Docker, Terraform, Firecracker, and major cloud providers. - **Growth trajectory**: 169 % headcount growth, $35 M in funding, and a clear enterprise traction story. - **Location & flexibility**: Offices in San Francisco (HQ) and Prague, Czechia. Remote/hybrid not explicitly stated but team operates across 5 countries. - **Visible open‑source work**: GitHub repository with 12.7 K stars allows engineers to contribute publicly and build reputation. ## Sources 1. [e2b.dev](https://e2b.dev/) 2. [e2b.dev/careers](https://www.e2b.dev/careers) 3. [linkedin.com/company/e2b-dev](https://www.linkedin.com/company/e2b-dev) 4. [github.com/e2b-dev/e2b](https://github.com/e2b-dev/e2b) 5. [tracxn.com](https://tracxn.com/d/companies/e2b/__U7C82j6Wk3VH-rgW0n4LFnUqqq-LuBw6rnIcnLGz2yU) ## Other roles at E2B - [Backend Software Engineer - Enterprise](https://feeny.ai/job/backend-software-engineer-enterprise-e2b-san-francisco-7frg7fw2fmv5) — San Francisco, CA - [Support Engineer](https://feeny.ai/job/support-engineer-e2b-prague-qe81bt4dqf96) — Prague, Czech Republic - [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-e2b-san-francisco-632ccjm40qx9) — San Francisco, CA - [Founding Product Marketing Lead](https://feeny.ai/job/founding-product-marketing-lead-e2b-san-francisco-6hefb4wh2csd) — San Francisco, CA - [Billing Engineer](https://feeny.ai/job/billing-engineer-e2b-prague-zj9t3htcfd7f) — Prague, Czech Republic - [Technical Copywriter](https://feeny.ai/job/technical-copywriter-e2b-san-francisco-ssw0phegqcyz) — San Francisco, CA - [Founding Community & Ecosystem Lead](https://feeny.ai/job/founding-community-ecosystem-lead-e2b-san-francisco-mn9gr036axce) — San Francisco, CA - [Engineering Team Lead, Platform](https://feeny.ai/job/engineering-team-lead-platform-e2b-prague-306jybs5caqr) — Prague, Czech Republic - [Product Engineer - Backend Developer](https://feeny.ai/job/product-engineer-backend-developer-e2b-prague-6a4j1bpy60wh) — Prague, Czech Republic - [Platform Engineer](https://feeny.ai/job/platform-engineer-e2b-prague-394epn2ng4xj) — Prague, Czech Republic