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Job Description & How to Apply Below
Hiring:
Senior AI Infrastructure Engineer / Platform Architect
Mandatory skills
- Private Cloud, Kubernetes and NVidia GPU or GPU
Location:
Bangalore (Work from Office)
Experience:
8–12 Years
We are looking for a hands-on AI Infrastructure Engineer / Platform Architect with strong experience in Kubernetes, Open Shift, Rancher, Private Cloud, and GPU-enabled AI infrastructure.
Key
Skills:
✔ Kubernetes, Open Shift, or Rancher (deployment, administration, operations)
✔ NVIDIA GPU technologies, GPU Operator, DCGM, GPU-enabled workloads
✔ Private Cloud platforms – VMware, Open Stack, 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/Open Shift/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
Open Shift Virtualization
Infini Band / Mellanox networking
HPE Green Lake, AI Factory, or HPC environments
CKA, RHCSA, RHCE, CKAD certifications
Interested candidates can share their updated resume.
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