--- title: 'Backend Software Engineer - Enterprise at E2B' canonical: 'https://feeny.ai/job/backend-software-engineer-enterprise-e2b-san-francisco-7frg7fw2fmv5' type: 'job' last_seen: '2026-11-09' --- # Backend Software Engineer - Enterprise 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/ad6febd3-7e17-403a-9449-fef78a8bb163 ## 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 develop the Go services behind E2B's enterprise orchestration platform, which manages deployments in customers' AWS, Google Cloud, and Azure environments. The platform coordinates operations across remote Kubernetes clusters and gives engineers the tools to understand and manage the fleet. You'll extend the APIs and distributed workflows behind it, from design through production operation. You'll work with SREs across Enterprise Engineering to make customer deployments reliable and easy to operate. You'll participate in production on-call for the components you own. ## What you'll do - Build and operate Go services for cluster installation, configuration, scaling, upgrades, recovery, and decommissioning. - Develop distributed workflows that remain correct through partial failures, retries, and concurrent changes, and reconcile state across remote clusters. - Build fleet tools that show cluster inventory, health, configuration drift, rollout progress, and audit history, and help engineers diagnose failures. - Integrate Kubernetes APIs, Helm, and infrastructure packages into repeatable deployment workflows across supported cloud configurations. - Design APIs and data models for deployment state, configuration, and access validation. Build modular, well-tested orchestration software that other engineers can confidently extend. - Own the reliability of the services you build. Add observability and integration tests, validate releases and recovery behavior, and use incidents to address recurring failures. - Work with FDE, Solutions, and Support on complex deployment issues and software escalations. - Reduce manual fleet operations through automation and self-service tooling. ## What we're looking for - 5+ years building and operating production backend systems, ideally infrastructure control planes, deployment automation, or asynchronous services. - Strong Go skills, including concurrency, memory management, and profiling. - Strong distributed-systems fundamentals, including durable workflows, state machines, consistency, idempotency, and failure recovery. - Experience designing REST or gRPC APIs, including resource models, authentication, error handling, documentation, and backward-compatible changes. - Experience with PostgreSQL or another relational database, including schema design, indexes, transactions, and migrations. - Experience testing and debugging long-running operations across unreliable networks and remote systems. - Hands-on Kubernetes and Helm experience, including working with cluster APIs and releases. You can debug issues across Go services, cloud IAM, networks, and containers. - You write maintainable, well-tested code and review AI-assisted changes for correctness and fit with the existing system. - Ability to take an ambiguous backend project from design through production. ## Nice to have - Building AI agents or applications that use tools, execute code, or run in sandboxes. - Building control planes, Kubernetes operators, or infrastructure APIs. - Shipping BYOC, private-cloud, or self-hosted software into customer environments. - Building multi-cloud, multi-region, or multi-tenant systems. - Terraform modules, plans, and state; GitOps, Argo CD, or cloud-provider APIs. - Event-driven systems, message queues, or workflow engines. - Infrastructure, developer-tools, or AI-agent platform products. - TypeScript or Python alongside Go. - Open-source backend, Kubernetes, or distributed-systems contributions. Compensation: $175K–$350K + equity 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 - [Site Reliability Engineer](https://feeny.ai/job/site-reliability-engineer-e2b-san-francisco-zpwjsn7fvkgg) — 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