Site Reliability Engineer

E2B•San Francisco, CA

5d•Hybrid

About The Position

E2B is hiring a Site Reliability Engineer to build and operate the infrastructure that runs E2B in customers’ AWS, Google Cloud, and Azure environments. The role involves developing reusable Terraform modules, Helm charts, and automation for Kubernetes deployments, and taking responsibility for operating that infrastructure in production. The work includes cloud-specific integrations, upgrades, and tools for managing a growing fleet of customer environments. The engineer will collaborate with software engineers across Enterprise Engineering to make customer deployments reliable and easy to operate. They will also work with customer infrastructure and security teams and partner with FDE, Solutions, and Support on complex deployments and technical escalations. The role participates in production on-call for the components it owns. E2B is a fast-growing Series A startup building the Agent Cloud. It reports more than $37 million in funding and eight-figure revenue, and its team includes original authors of Firecracker and alumni of Cognition, JetBrains, Zapier, and Wish. The company has offices in San Francisco and Prague, with an in-person work arrangement of four days on-site and one day working from home.

Requirements

At least 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 and understanding of 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.
Ability to write automation in Go, Python, Bash, or similar, and contribute tested changes to existing services.
Ability to explain technical tradeoffs and work through deployment issues with customer infrastructure teams.
Ability to take a problem from investigation through a production fix.

Nice To Haves

Experience building AI agents or applications that use tools, execute code, or run in sandboxes.
Experience with BYOC, self-hosted, or managed enterprise software in customer-controlled infrastructure.
Experience operating large fleets of Kubernetes clusters across organizations or clouds.
Experience with GitOps, Argo CD, Flux, Kubernetes operators, or custom controllers.
Experience with air-gapped environments, on-premises deployments, or stringent enterprise security.
Experience with OpenTelemetry, Prometheus, Grafana, Loki, or similar observability tools.
Experience with Firecracker, microVMs, sandbox isolation, or infrastructure for untrusted workloads.
Experience building deployment automation or internal infrastructure platforms.
Open-source infrastructure contributions.

Responsibilities

Build and maintain versioned Terraform modules, Helm charts, and Kubernetes configurations for deployments on EKS, GKE, and AKS.
Own the production reliability of customer cluster infrastructure by improving monitoring, alerting, capacity management, and recovery, and fixing recurring operational problems.
Make infrastructure packages reusable across customer environments by defining configuration interfaces, compatibility checks, release processes, and testing installation, scaling, upgrades, rollbacks, and security patches.
Diagnose and resolve problems across Kubernetes, cloud networking, IAM, certificates, and storage, including private connectivity into customer environments.
Work with customer infrastructure and security teams on access controls, secrets management, isolation, and auditability.
Build infrastructure automation and contribute code to orchestration services that deploy and operate E2B.
Develop tests, deployment validation, drift detection, diagnostics, and runbooks to reduce manual work.
Work with FDE, Solutions, and Support on complex deployments and technical escalations, and join customer troubleshooting when needed.
Participate in production on-call for owned components.