Principal AI Infrastructure Engineer

Hiring: Senior AI Infrastructure Engineer / Platform Architect

Mandatory skills- Private Cloud, Kubernetes and NVidia GPU or GPU

Location: Bangalore (Work from Office)

Experience: 812 Years

We are looking for a hands-on AI Infrastructure Engineer / Platform Architect with strong experience in Kubernetes, OpenShift, Rancher, Private Cloud, and GPU-enabled AI infrastructure.

Key Skills:

Kubernetes, OpenShift, or Rancher (deployment, administration, operations)

NVIDIA GPU technologies, GPU Operator, DCGM, GPU-enabled workloads

Private Cloud platforms VMware, OpenStack, KVM

Linux Administration (RHEL, Ubuntu, SLES)

HPC environments, Slurm, PBS Pro (preferred)

Server hardware HPE, Dell, IBM, Bare Metal environments

Infrastructure design, performance tuning, and capacity planning

Python/Bash scripting and automation

Responsibilities:

• Deploy and manage Kubernetes/OpenShift/Rancher platforms
• Design and support AI-ready private cloud environments
• Implement GPU-accelerated infrastructure for AI/ML workloads
• Work on HPC clusters, workload scheduling, and infrastructure optimization
• Collaborate with cloud, infrastructure, and AI teams on enterprise deployments
• Participate in solution design, PoCs, performance tuning, and troubleshooting

Preferred:

• Experience with NVIDIA AI Enterprise
• OpenShift Virtualization
• InfiniBand / Mellanox networking
• HPE GreenLake, AI Factory, or HPC environments
• CKA, RHCSA, RHCE, CKAD certifications

Interested candidates can share their updated resume.