Architect and deliver end-to-end data center solutions — compute, storage, networking — optimized for AI/ML and high-performance workloads.
Design, deploy, and support NVIDIA DGX, HGX, or GPU-based systems within customer environments.
Implement and manage virtualization platforms (VMware ESXi, vCenter, vSAN, NSX) and hyperconverged infrastructure.
Build and administer containerized platforms using Kubernetes (RKE, OpenShift, EKS, AKS, GKE).
Integrate and automate infrastructure workflows using Ansible, Terraform, Bash, or Python.
Collaborate with cross-functional teams — networking, DevOps, storage, and application owners — to ensure smooth project delivery.
Perform infrastructure assessments, capacity planning, and high-availability design for production environments.
Troubleshoot and optimize system performance across compute, network, and storage layers.
Provide technical leadership and documentation for customer deployments and internal delivery teams.

6+ years of experience in data center architecture, infrastructure delivery, or systems engineering.
Proven experience designing and deploying enterprise infrastructure (servers, networking, storage, virtualization).
Hands-on expertise with VMware virtualization technologies (ESXi, vCenter, NSX, vSAN).
Experience with GPU-based compute platforms (NVIDIA DGX/HGX or equivalent preferred).
Proficiency in Kubernetes administration across multiple distributions.
Strong knowledge of enterprise networking (L2/L3, VLANs, routing) and storage architectures (SAN/NAS/CSI).
Experience with infrastructure automation and scripting (Ansible, Terraform, Bash, Python).
Excellent troubleshooting, documentation, and customer-facing communication skills.
Ability to deliver complex projects independently, on time, and in coordination with remote teams.

Lead Technical Architect, AI Infrastructure

Key skills