Principal AI Infrastructure Engineer

Hiring: Senior AI Infrastructure Engineer / Platform Architect\nMandatory skills- Private Cloud, Kubernetes and NVidia GPU or GPU\n\nLocation: Bangalore (Work from Office)\nExperience: 8–12 Years\nWe 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.\nKey Skills:\n'14; Kubernetes, OpenShift, or Rancher (deployment, administration, operations)\n'14; NVIDIA GPU technologies, GPU Operator, DCGM, GPU-enabled workloads\n'14; Private Cloud platforms – VMware, OpenStack, KVM\n'14; Linux Administration (RHEL, Ubuntu, SLES)\n'14; HPC environments, Slurm, PBS Pro (preferred)\n'14; Server hardware – HPE, Dell, IBM, Bare Metal environments\n'14; Infrastructure design, performance tuning, and capacity planning\n'14; Python/Bash scripting and automation\nResponsibilities:\nDeploy and manage Kubernetes/OpenShift/Rancher platforms\nDesign and support AI-ready private cloud environments\nImplement GPU-accelerated infrastructure for AI/ML workloads\nWork on HPC clusters, workload scheduling, and infrastructure optimization\nCollaborate with cloud, infrastructure, and AI teams on enterprise deployments\nParticipate in solution design, PoCs, performance tuning, and troubleshooting\nPreferred:\nExperience with NVIDIA AI Enterprise\nOpenShift Virtualization\nInfiniBand / Mellanox networking\nHPE GreenLake, AI Factory, or HPC environments\nCKA, RHCSA, RHCE, CKAD certifications\nInterested candidates can share their updated resume.