AI Infra Engineer: GPU Cloud & Kubernetes POC Leader

Vcluster

Northern (KY)

Hybrid

USD 140,000 - 165,000

Full time

27 hours ago

Be an early applicant

Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

Benefits offered by this job

Competitive Salary

Equity participation

Health, dental, vision, life Insurance

Flexible working schedule

Remote-first culture

Job summary

vCluster Labs is seeking an AI Infrastructure Specialist to lead deployments from bare metal GPUs to production-grade Kubernetes environments. This is a pre-sales / proof-of-value role integrated with the customer journey to scale playbooks for future customers.

The role requires 5+ years of production Kubernetes experience, hands-on GPU tooling, and strong networking/storage fundamentals. You will document architectures and work with Sales to drive customer value while maintaining a

Qualifications

5+ years of production Kubernetes experience, ideally bare metal.
Experience deploying and operating Kubernetes in production.
Experience with NVIDIA GPU tooling and CUDA.
Strong networking knowledge: CNI, overlays, load balancing.
Experience with Ceph/Rook/Weka/Longhorn distributed storage.
Automation scripting with Bash, Python, or Go.
CKA certification or Kubernetes Operators experience.
AI/ML familiarity with inference serving and GPU scheduling.

Responsibilities

Lead end-to-end technical deployments for GPU neocloud and AI Factory customers.
Configure and troubleshoot bare metal GPU node infrastructure and related storage.
Deploy and validate Kubernetes and vCluster to provide GPU-powered managed K8s.
Collaborate with customer teams to build self-sufficiency and reusable playbooks.
Document deployment architectures to accelerate future customers.
Provide feedback to Engineering and Product to address recurring issues.
Support pre-sales activities with deep infrastructure work.