6 hours ago
Responsibilities
- Build and maintain versioned Terraform modules, Helm charts, and Kubernetes configurations for deployments on EKS, GKE, and AKS.
- Own production reliability for customer cluster infrastructure by improving monitoring, alerting, capacity management, recovery, and recurring-issue resolution.
- Create reusable infrastructure packages with configuration interfaces, compatibility checks, release processes, and testing for installation, scaling, upgrades, rollbacks, and security patches.
- Diagnose and resolve issues involving Kubernetes, cloud networking, IAM, certificates, storage, and private customer connectivity.
- Collaborate with customer infrastructure and security teams on access controls, secrets management, isolation, and auditability.
- Build infrastructure automation and contribute tested code to orchestration services, including deployment validation, drift detection, diagnostics, and runbooks.
- Support complex customer deployments and technical escalations with FDE, Solutions, and Support teams.
- Participate in production on-call for owned components.
Requirements
- 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 production Terraform and Helm experience covering module and chart development, versioning, testing, and upgrades.
- Deep expertise in AWS, GCP, or Azure and the ability to work across cloud providers, including cloud networking, IAM, compute, and storage.
- Strong Linux and networking fundamentals, including process isolation, filesystems, DNS, TCP/IP, and resource-constraint troubleshooting.
- Experience using metrics, logs, and traces to diagnose production issues and test recovery procedures.
- Ability to write automation in Go, Python, Bash, or similar languages and contribute tested changes to existing services.
- Ability to explain technical tradeoffs and resolve deployment issues with customer infrastructure teams.
- Ability to take problems from investigation through production fixes.
- Preferred experience includes AI agents or tool-using applications, BYOC or self-hosted enterprise software, large Kubernetes fleets, GitOps tools, Kubernetes operators, air-gapped or on-premises environments, observability tools, Firecracker or microVMs, deployment automation, internal infrastructure platforms, and open-source infrastructure contributions.
Benefits
- Healthcare, vision, and dental insurance.
- Unlimited paid time off and 401(k).
- Additional perks for in-office employees.
- Hybrid in-person arrangement with four days on-site and one day working from home in San Francisco or Prague.
- Participation in production on-call is required.
Categories
DevOpsSite Reliability
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.