Forward Deployed Engineer (Staff)
Core
Staff engineer embedded with enterprise clients to lead end-to-end Kubernetes platform modernization, stateful workload migration, and AI infrastructure deployment.
Role type
Staff Forward Deployed Engineer (Infrastructure)
Builds
Production-grade VKS clusters, AI inferencing workloads, and migrated stateful data services for enterprise clients.
Domain
Enterprise Cloud Infrastructure & AI
Deliverable
production ML models | product features | infrastructure
Required skills
Kubernetes architecture, stateful workload migration, AI cluster setup, GPU/NPU workload optimization, distributed systems, containerization, Infrastructure as Code, GitOps
Preferred skills
Multi-Kubernetes distribution expertise, legacy platform modernization, RAG architectures, vector search, model serving frameworks
Technologies
Kubernetes, vSphere Kubernetes Service (VKS), VMware Cloud Foundation, NVIDIA vGPU/MIG, Ray, vLLM, Apache Spark, Apache Kafka, Redis, Terraform, Helm, ArgoCD
Responsibilities
Architect and deploy production-grade VKS clusters for general compute and AI workloads; Lead migration of bare metal and legacy data stacks to cloud-native Kubernetes; Deploy and scale AI inferencing workloads and RAG architectures; Write production code and debug live networking/storage/GPU failures in client environments; Synthesize field feedback to prioritize core platform features; Guide clients on multi-Kubernetes integration strategies.
Seniority
Staff, hands-on IC with strategic client engagement
