Senior Site Reliability Engineer, Lambda

• 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
• Can build production-quality tooling in Go, Python, or a similar language
• Understand distributed systems concepts including consistency, retries, idempotency, backpressure, and partial failure
• Have experience defining and operating against SLIs and SLOs
• Can lead effectively during high-severity incidents
• Approach recurring operational issues as engineering and automation problems
• Communicate clearly and work effectively across teams
• Bring strong ownership, sound judgment, and low ego

Desirable

• 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
• 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