Description

You will design, deploy, and maintain complex GPU-accelerated infrastructure for AI/ML workloads.

This role is on-site.

Responsibilities

• Deploy, configure, and maintain NVIDIA DGX, HGX, and other GPU-accelerated systems.
• Manage VMware environments, including ESXi, vCenter, and associated virtual networking and storage.
• Deploy and manage Kubernetes clusters across multiple distributions (RKE, OpenShift, AKS, EKS, GKE).
• Automate infrastructure tasks using Shell scripts, Python, or Ansible.
• Monitor infrastructure health, troubleshoot complex issues, and document solutions.

Required Skills

• 10+ years of experience in Tech Architect or Enterprise Infrastructure roles.
• Hands-on experience with NVIDIA DGX, HGX, or other GPU-based compute platforms.
• Strong working knowledge of VMware virtualization technologies (ESXi, vCenter).
• Proficiency with Kubernetes and experience managing distributions like RKE, OpenShift, AKS, EKS, or GKE.
• Experience with scripting and automation (Bash, Python, Ansible).
• Strong understanding of enterprise storage, networking, and system monitoring.
• Ability to troubleshoot and document complex system issues independently.

Preferred Skills

• Experience collaborating with engineering teams on AI/ML workloads.

Key Skills

Education

Any Gradute