The AI Agent Cloud. An isolated machine for every AI agent: run code, browse, use tools, pause, fork. In our cloud or your AWS or GCP account. 100K+ teams, 1B+ sandboxes started. Backed by Insight.
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they'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
More about this role
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.
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.
Build and operate Go services for cluster installation, configuration, scaling, upgrades, recovery, and decommissioning.
Develop distributed workflows that remain correct...
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