Principal Forward Deployed Engineer – AI & Developer Platform
Please Note
- If you are a first time user, please create your candidate login account before you apply for a job. (Click Sign In > Create Account)
Job Description
Principal Forward Deployed Engineer
Developer Experience (DevEx)
API Architecture
LLM/AI Platform Engineering
Developer Experience (DevEx) & API Leadership
Divisional Field-to-Engineering Authority
API & SDK Architecture
Developer Workflows & GitOps
Developer Advocacy & Tooling
Build developer CLI tools, testing harnesses, and automation frameworks to reduce cognitive load for internal application teams adopting our vSphere Kubernetes Service (VKS) and VMware Cloud Foundation (VCF) platforms.
AI Engineering & LLM Platform Architecture
- LLM Application Infrastructure:
Architect production-ready environments for real-time LLM inferencing, Agentic frameworks, and Retrieval-Augmented Generation (RAG) pipelines on high-density GPU clusters. •
AI Developer Tooling & APIs
Distributed AI Compute & Data Fabrics
Set technical execution patterns for containerizing, orchestrating, and tuning high-throughput AI runtime engines (Ray, vLLM, SGLang, Spark) alongside vector databases and caching layers.
Code Contribution & Strategy
- Hands-on Production Engineering:
Write production Go, Python, and TypeScript code in the field - building platform operators, custom controllers, and AI wrappers - and upstream those contributions directly into core ISG product codebases. •
Product Roadmap Influence
Technical Mentorship
Technical Leadership & DevEx Stature
10+ years of software engineering experience
5+ years driving Developer Experience (DevEx), API design, or AI platform architectures
at scale.
- Proven track record commanding technical credibility with C-suite leadership (CTOs, Chief AI Officers) while remaining deeply hands-on with staff-level software developers and systems engineers.
Deep API & Kubernetes Platform Primitives
- Authority-level mastery of API Design Principles
(RESTful design, gRPC, OpenAPI specifications, API Gateway integration).
- Deep understanding of
Kubernetes internal mechanics
, custom controllers, Custom Resource Definitions (CRDs), Operator patterns, and Cluster API (CAPI).
- Proficiency in establishing
GitOps workflows
LLM, Generative AI & Data Ecosystem
- Hands-on experience building or supporting
LLM/Generative AI application stacks
Frameworks & Orchestration
Vector Databases & Search
Streaming & Caching
Apache Kafka, Redis, Pulsar, Apache Spark, Flink.
- Experience integrating virtualized GPU workloads (NVIDIA vGPU, MIG, GPUDirect RDMA) into developer-accessible API primitives.
Systems & Software Engineering
- Advanced proficiency in
Go, Python, and TypeScript/Node.js
for systems-level development, custom controller authorship, API microservices, and AI workflow integration.
- Comprehensive fluency across multi-cloud enterprise Kubernetes distributions (EKS, GKE, AKS, OpenShift, Rancher) and standard application network/storage abstractions.
Experience & Education
- Bachelor's degree
in Computer Science, Software Engineering, or related technical field preferred (relevant years of equivalent experience considered in lieu of a degree). •
17+ years of total professional experience
Compensation and Benefits
Not included in the source posting: about the role, what you'll do.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.