Site Reliability Engineer

San Francisco, CA

About the role

About E2B

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.

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.

You'll work with software engineers across Enterprise Engineering to make customer deployments reliable and easy to operate.

What you'll do

  • 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. Improve monitoring, alerting, capacity management, and recovery, and fix recurring operational problems.
  • Make infrastructure packages reusable across customer environments. Define configuration interfaces, compatibility checks, and release processes, and test 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 the orchestration services that deploy and operate E2B. Develop tests, deployment validation, drift detection, diagnostics, and runbooks that reduce manual work.
  • Work with FDE, Solutions, and Support on complex deployments and technical escalations, joining customer troubleshooting when needed.

You'll participate in production on-call for the components you own.

What we'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.
  • 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 have

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

What it’s like to work at E2B

We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI.

We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees.

About E2B

E2B is a fast growing Series A startup with 7-figure revenue. We've raised over $32M in total since our funding in 2023 and are supported by great investors like Insight Partners. Our customers are companies like Perplexity, Hugging Face, Manus, or Groq. We're building the next hyperscaler for AI agents.

We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We have 7-figure revenue and work directly with customers from the top-tier AI companies such as Perplexity, Hugging Face, and more exciting names.

We cover full healthcare, vision, and dental insurance, and offer unlimited PTO.

Other roles at E2B

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Job details

Location

San Francisco, CA

Company

NameE2B
IndustryAgentic AI
Team Size1

Funding

Total raised

$32M

Last stage

Series A

Investors

Insight Partners
DDecibel
SSunflower Capital
KKaya VC

Founders

VM

Vasek Mlejnsky

CEO

TV

Tomas Valenta

CTO

JN

Jakub Novak

Founding Software Engineer

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.