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Site Reliability Engineer

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Before you apply
LocationSan Francisco
Also inPrague, Czech Republic
Work modeon-site
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentEngineering
Company size11–50 people
PostedNov 3, 2026 · 4d ago
Verified live16h ago
At a glanceSummarised by Seekless from the posting.
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
Strong Linux and networking fundamentals
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
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
Skills
Terraform
Helm
Kubernetes
EKS
GKE
AKS
AWS
GCP
Azure
Go
Python
Bash
Argo CD
Flux
OpenTelemetry
Prometheus
Grafana
Loki
Firecracker
GitOps
Benefits
Health insurance
Dental insurance
Vision insurance
Unlimited PTO
401(k)
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.