Forward Deployed Engineer (Staff)

AI summary of the role

Staff Forward Deployed Engineer embedded with enterprise client and core engineering teams across the full lifecycle of Kubernetes platform modernization, stateful workload migration, and AI infrastructure deployments.

What you’ll do

Embed with enterprise teams from migration discovery through production stabilization
Architect and operate VKS clusters across VMware Cloud Foundation and hybrid cloud environments
Migrate bare-metal, legacy data, messaging, caching, and stateful platforms to Kubernetes
Deploy and optimize AI inference, RAG, vector search, and GPU/NPU workloads

What you’ll bring

12+ years of related experience
Experience working within or alongside core software or R&D engineering organizations
Hands-on experience with GPU-accelerated Kubernetes, model serving, vector databases, and distributed AI orchestration
Deep experience operating containerized distributed systems and stateful data, messaging, and analytics workloads

Technologies

Kubernetes · vSphere Kubernetes Service · VMware Cloud Foundation · NVIDIA vGPU · vLLM · Apache Kafka · Terraform · Helm · ArgoCD · Cluster API

Employer postings · Data from Sep 11 · Sources