Forward Deployed Engineer; Site Reliability​/Infrastructure

Forward Deployed Engineer (Site Reliability / Infrastructure)

Join us as a Forward Deployed Engineer at Lambda, a leader in AI cloud infrastructure serving thousands of customers.

$/yr – $/yr

We’re looking for a Forward Deployed Engineer to embed directly with a strategic customer, serving as the technical bridge between Lambda and their team. You’ll work where model performance matters most, delivery timelines are urgent, and ambiguity is the default state. Your job is to map problems, structure delivery paths, and ship solutions that create measurable impact.

• 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
• 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

This position requires presence in our upcoming Bellevue office location or on‑site with strategic customers 4 days per week. Lambda’s designated work from home day is currently Tuesday.

• 6+ years of experience in SRE, software engineering, or a similar role, with deep knowledge of running Linux clusters and systems
• Strong programming skills in Go and Python; experience with Git Ops (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)
• Familiarity with observability tools like Prometheus, Grafana, Fluent Bit, 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

• 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

• Work on cutting‑edge managed Kubernetes platforms for AI/ML workloads
• Influence the platform roadmap and help shape operations and reliability best practices
• Collaborate with a highly skilled engineering team
• Opportunity to mentor and grow within a fast‑growing, technology‑driven environment

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation, identity, genetic information, veteran status, citizenship, or any other factors prohibited by law.