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 build and operate the infrastructure that runs E2B in customers' AWS, Google Cloud, and Azure environments. You'll develop reusable Terraform modules, Helm charts, and automation for Kubernetes deployments, and take responsibility for how that infrastructure runs in production. The work spans cloud-specific integrations, upgrades, and the tools needed to manage a growing fleet of customer environments. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years of production SRE, infrastructure, or platform engineering experience operating business-critical services
- Deep experience operating and debugging production Kubernetes clusters, including networking, access control, node lifecycle, scheduling, autoscaling, and storage
- Strong Terraform and Helm skills, including production module and chart development, versioning, testing, and upgrades
- Deep expertise in AWS, GCP, or Azure, with the ability to work across providers. You should understand cloud networking, IAM, compute, and storage
- Strong Linux and networking fundamentals, including process isolation, filesystems, DNS, TCP/IP, and troubleshooting resource constraints
- Experience using metrics, logs, and traces to diagnose production issues, and testing recovery procedures
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 build and operate the infrastructure that runs E2B in customers' AWS, Google Cloud, and Azure environments.
You'll develop reusable Terraform modules, Helm charts, and automation for Kubernetes deployments, and take responsibility for how that infrastructure runs in production. The work spans cloud-specific integrations, upgrades, and the tools needed to manage a growing fleet of customer environments.
You'll work with software engineers across Enterprise Engineering to make customer deployments reliable and easy to operate.
Build and maintain versioned Terraform modules, Helm charts, and Kubernetes configurations for supported deployments on EKS, GKE, and AKS.
Own the production reliability of customer cluster infrastructure....
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