Forward Deployed Engineer

Forward Deployed Engineer - Site Reliability / Infrastructure

Lambda

Location:
United States , Bellevue, WA, San Francisco Office

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

240000.00 - 425000.00 USD / Year

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Job Description:

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.

Job Responsibility:

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

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 have:

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

What we offer:

Generous cash & equity compensation
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

Additional Information:

Job Posted:
February 18, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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