Forward Deployed Engineer (Principal)

Overview

Forward Deployed Engineer (Principal) acting as a senior technical authority and field-to-engineering leader across infrastructure, distributed systems, and AI platform deployments.

What you'll do

• Embed with enterprise accounts during platform modernizations and critical AI inferencing deployments.
• Bridge core engineering and product leadership with field/C-suite enterprise architects.
• Architect, scale, and validate production vSphere Kubernetes Service (VKS) and VMware Cloud Foundation (VCF) topologies.
• Design and deploy real-time LLM inferencing, RAG pipelines, and distributed AI runtimes on GPU clusters.
• Lead end-to-end migration strategies for legacy bare metal and stateful AI workloads to Kubernetes targets.
• Engineer prototype integrations and write production operators/CRDs, upstreaming contributions into core codebases.

What you'll need

• 10+ years of software engineering experience.
• 5+ years driving high-consequence infrastructure, distributed systems, AI platforms, or Kubernetes architectures at scale.
• Mastery of Kubernetes internals, CRDs, Kubernetes Operators, Cluster API (CAPI), and GitOps (ArgoCD, Flux).
• Experience architecting high-throughput AI inferencing pipelines and virtualized GPU environments.
• Track record running high throughput, low latency stateful workloads on Kubernetes.
• Hands-on development experience in Go, Python, or Java for systems-level infrastructure or Kubernetes controllers.

Details

• Work location: USA - Colorado - Remote location.