Backend Software Engineer - Enterprise

Posted Yesterday
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San Francisco, CA, USA
In-Office
175K-350K Annually
Senior level
Artificial Intelligence
Code interpreting for your AI apps | Safely run AI-generated code in E2B sandbox
The Role
Build and operate Go backend services for E2B’s enterprise orchestration platform. Develop distributed workflows, Kubernetes deployment automation, fleet-management tools, APIs, data models, observability, and recovery capabilities across AWS, Google Cloud, and Azure. Own production reliability, testing, on-call responsibilities, and customer deployment escalations while reducing manual operations through automation and self-service tooling.
Summary Generated by Built In
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.

Skills Required

  • 5+ years building and operating production backend systems
  • 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
  • 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
  • Ability to debug issues across Go services, cloud IAM, networks, and containers
  • Ability to write maintainable, well-tested code and review AI-assisted changes
  • Ability to take an ambiguous backend project from design through production
  • Experience building AI agents or applications using tools, code execution, or sandboxes
  • Experience building control planes, Kubernetes operators, or infrastructure APIs
  • Experience shipping BYOC, private-cloud, or self-hosted software
  • Experience building multi-cloud, multi-region, or multi-tenant systems
  • Experience with Terraform, GitOps, Argo CD, or cloud-provider APIs
  • Experience with event-driven systems, message queues, or workflow engines
  • Experience with TypeScript or Python alongside Go
  • Open-source backend, Kubernetes, or distributed-systems contributions
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The Company
HQ: San Francisco, CA
17 Employees
Year Founded: 2023

What We Do

Code interpreting for your AI apps | Safely run AI-generated code in E2B sandbox

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