10 hours ago
Base Salary
$175k - $350k/yr
Responsibilities
- Build and operate Go services for cluster installation, configuration, scaling, upgrades, recovery, and decommissioning.
- Develop distributed workflows that handle partial failures, retries, concurrent changes, and state reconciliation across remote clusters.
- Build fleet tools for cluster inventory, health, configuration drift, rollout progress, audit history, and failure diagnosis.
- Integrate Kubernetes APIs, Helm, and infrastructure packages into deployment workflows across supported cloud configurations.
- Design APIs and data models for deployment state, configuration, and access validation.
- Build modular, well-tested orchestration software with observability, integration tests, release validation, and recovery testing.
- Own the reliability of deployed services and participate in production on-call.
- Work with FDE, Solutions, and Support on complex deployment issues and software escalations.
- Automate manual fleet operations through self-service tooling.
Requirements
- 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 cluster APIs and releases, with the ability to debug Go services, cloud IAM, networks, and containers.
- Ability to write maintainable, well-tested code and review AI-assisted changes for correctness and fit.
- Ability to take an ambiguous backend project from design through production.
- Preferred experience includes AI agents or tool-using applications, control planes, Kubernetes operators, infrastructure APIs, BYOC or private-cloud software, multi-cloud or multi-region systems, Terraform, GitOps, Argo CD, event-driven systems, message queues, workflow engines, TypeScript, Python, and open-source backend or distributed-systems contributions.
Benefits
- $175K–$350K base compensation plus equity.
- In-person work in San Francisco or Prague, with 4 days on-site and 1 day working from home.
- Healthcare, vision, and dental insurance.
- Unlimited PTO.
- 401k and various perks for in-office employees.
Tech Stack
About E2B
E2B builds the Agent Cloud—secure, scalable sandboxes and infrastructure for interpreting and running AI‑generated code—delivered via APIs to developers and AI labs building agents. The privately held, Series A company is headquartered in San Francisco and is used by teams behind agents at Groq, ClickUp, and Lindy; its team includes original authors of Firecracker, the AWS microVM technology behind Lambda.