Senior Site Reliability Engineer - Named Accounts

Lambda • Seattle, WA

72d

About The Position

Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us. This position requires presence in our upcoming Seattle office location or on-site with strategic customers 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Requirements

• 6+ years of experience in a SRE, software engineer, or similar role, with a deep knowledge of running Linux clusters and systems
• Strong programming skills in Go and Python; experience with GitOps (e.g., ArgoCD), Helm, and Kubernetes operators
• Proven experience operating Kubernetes clusters in production environments (on-prem, EKS, GKE, or similar)
• Hands-on experience with AI/ML workload management tools (Volcano, Kubeflow, or similar)
• Can work either independently with limited direction or as part of a team
• Familiarity with observability tools like Prometheus, Grafana, FluentBit, and CI/CD pipelines
• Proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, or similar
• Excellent communication skills with the ability to translate technical complexity for diverse audiences
• Executive presence and ability to represent Lambda in customer-facing situations
• Comfort operating in ambiguous environments with competing priorities
• Strong bias for action and shipping iteratively

Nice To Haves

• Deep Kubernetes expertise: CRDs, CSI, CNI, Kubernetes Operator Coding experience
• Exposure to HPC clusters, AI/ML workloads, or large-scale GPU clusters
• Hybrid or multi-cloud Kubernetes environment experience
• Contributions to CNCF projects or Kubernetes SIGs

Responsibilities

• Embed on-site with a named strategic customer, becoming an extension of their team
• Act as the primary technical liaison between Lambda and the customer organization
• Navigate ambiguous requirements to identify root problems and define clear technical solutions
• Drive alignment across internal Lambda teams and customer stakeholders
• Scope, sequence, and build full-stack solutions that deliver measurable business value
• Design and implement infrastructure optimizations for AI/ML workloads at scale
• Debug complex distributed systems issues across the infrastructure stack
• Ship iteratively and learn fast, adjusting approach based on customer feedback and results
• Identify reusable patterns from customer engagements that can scale across Lambda's customer base
• Surface field intelligence that influences Lambda's product roadmap
• Document and share learnings to elevate the capabilities of the broader team
• Represent Lambda with executive presence in high-stakes customer interactions

Benefits

• Health, dental, and vision coverage for you and your dependents
• Wellness and Commuter stipends for select roles
• 401k Plan with 2% company match (USA employees)
• Flexible Paid Time Off Plan that we all actually use

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level