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Tier-1 brand and metro Bangalore increase applicant density despite specialized HPC/GPU skill requirements.
Highly specialized HPC, GPU, and hybrid cloud expertise reduces cross-industry transferability.
Explicit 8+ years and many mandatory cloud, Kubernetes, GPU, and HPC technical requirements.
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Lead design and delivery of Kubernetes platforms including Red Hat OpenShift, SUSE Rancher, and CNCF Kubernetes with GPU-accelerated workloads integration.
Architect and manage HPC clusters involving GPU/compute nodes, HPC storage, and high-speed networking solutions.
Oversee infrastructure project delivery focused on AI/ML and HPC workloads aligning technical solutions with business goals.
8+ years of professional experience with a Bachelor’s degree in computer science or related field, or 11+ years without a degree.
Strong expertise in Kubernetes container orchestration platforms and GPU acceleration technologies (NVIDIA GPU Operator, DCGM).
Proven experience with HPC cluster architecture and management tools (e.g., Slurm, HPE Cluster Management).
Proficiency in Linux system administration (RHEL/SLES/Ubuntu) and virtualization technologies (KVM/OpenShift Virtualization).
Technical leader capable of designing complex multi-technology solutions and leading delivery teams across infrastructure projects.
Experienced with enterprise compute, storage, and networking fundamentals, especially HPE server/storage platforms and AI/ML workloads.
Skilled in integrating AI platforms with DevOps/MLOps practices including CI/CD and Infrastructure as Code in hybrid/private cloud environments.