Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
About the Role
Lambda’s Core Cloud Platform powers compute provisioning and infrastructure orchestration across our physical data centers. We are looking for a Senior Site Reliability Engineer to improve the reliability, scalability, and operational maturity of these systems as Lambda’s fleet and customer base grow.
You will work across Kubernetes, infrastructure automation, observability, deployment systems, and incident response to build a resilient foundation for customer AI workloads.
What You’ll Do
- Operate and scale critical platform services across Lambda’s data centers.
- Improve the reliability of compute provisioning, Instance lifecycle, and regional orchestration systems.
- Build monitoring, alerting, and tracing for service health, provisioning latency, and customer-impacting failures.
- Define SLIs, SLOs, error budgets, and operational readiness standards.
- Automate detection and remediation of configuration drift, failed workflows, and orphaned resources.
- Build safe deployment, rollback, and disaster recovery workflows using infrastructure as code and GitOps.
- Design fault-isolation mechanisms that reduce blast radius and prevent cascading failures.
- Lead production incident response, postmortems, and durable corrective actions.
- Partner with Compute, Networking, Storage, Security, and Support teams.
- Participate in on-call and improve its sustainability through automation and better tooling.
- Mentor engineers and raise the reliability bar across the organization.
You
- Have 7+ years of experience in site reliability, infrastructure, distributed systems, or production software engineering.
- Have deep experience operating Kubernetes in production.
- Understand Kubernetes architecture, scheduling, networking, resource management, upgrades, and common failure modes.
- Have experience with physical data centers, private cloud, hybrid cloud, or environments without full reliance on managed services.
- Are proficient with Terraform or similar infrastructure-as-code tools.
- Have built CI/CD or GitOps workflows using tools such as Argo CD, Flux, Helm, or Kustomize.
- Have experience with observability platforms such as OpenTelemetry, Prometheus, Grafana, or Datadog.