AI Platform Engineer – VMware Cloud Foundation & Kubernetes (GPU)

AI Platform Engineer – VMware Cloud Foundation & Kubernetes on GPU Infrastructure

Location: Stockholm, Sweden (Hybrid – 2 days per week in office)

Contract: 12+ months

Ampstek is hiring for a large enterprise client that is building a private AI platform on VMware Cloud Foundation with NVIDIA GPUs, enabling internal teams to run AI and LLM workloads on Kubernetes in a governed, self-service way.

What you will do

• Deploy and configure VMware Cloud Foundation (ESXi, vSAN, NSX, SDDC Manager) on GPU-equipped hardware and validate cluster readiness, networking and GPU enablement

• Deploy vSphere Kubernetes Service (VKS 1.33+) for GPU workloads

• Implement infrastructure as code so cluster creation and lifecycle operations are fully reproducible

• Integrate the platform with Active Directory and SSO

• Set up VCF Automation for governed self-service of Kubernetes namespaces, with RBAC and audit logging

Must have

• Hands-on deployment and configuration of VMware Cloud Foundation 9.x

• Kubernetes on VMware (VKS or vSphere with Tanzu) in production

• NVIDIA GPU enablement on vSphere (vGPU profiles or GPU passthrough, host drivers)

• Infrastructure as code with Terraform or Ansible, managed in Git

• Active security clearance

• Fluent English, written and spoken

Nice to have

• VCF Automation / Aria Automation

• NSX networking and security

• AD / SSO integration for Kubernetes

• VCP-VCF or CKA certification

• Experience escalating cases to Broadcom/VMware or NVIDIA

Please note: this role needs both VMware AND Kubernetes experience. Profiles with only one of the two will not be considered.

To apply, click Apply or email your CV to dhinakaran.b@ampstek.com