Backend Software Engineer - Enterprise
E2b
San Francisco, CA · Posted November 3, 2026
Just laid off? Start here: a plan for the first weeks
More in California job market · Healthcare & Hospital Systems · Engineering jobs
More roles at E2b
- Senior Data Engineer · San Francisco, CA
- Founding Product Marketing Lead · San Francisco, CA
- Site Reliability Engineer · San Francisco, CA
- Technical Recruiter · San Francisco, CA
- Product Engineer - Backend Developer · San Francisco, CA
- Technical Copywriter · San Francisco, CA
Similar jobs
- Staff Software Developer, Unified Communications · Nvidia · Santa Clara, CA
- Senior Software Development Engineer, Loyalty - Full Stack · Expedia Group · San Jose, CA
- Distinguished Software Engineer · Circle Internet Group · San Francisco, CA
- Senior Software Engineer, Frontend · Circle Internet Group · San Francisco, CA
- Software Engineer II · Badger Meter · Los Gatos, CA
- EO/IR Systems Integration and Test Engineer · Heico · Santa Barbara, CA
Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
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.