Job Title

Location: Bengaluru (on-site)Experience: 9+Job DescriptionHPE Operations is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers’ outcomes from their digital transformation. Our teams collaborate to transform insight into innovation. In today’s fast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Join us and redefine what’s next for youWhat you will do:Kubernetes Platforms:Proficiency in container orchestration platforms, especially Red Hat OpenShift, SUSE Rancher, and CNCF Kubernetes.Experience with GPU-accelerated workloads and tools like NVIDIA GPU Operator and DCGMProven ability to integrate Kubernetes with AI/ML workloads and GPU infrastructure in hybrid or private cloud environments.HPC Experience:Experience architecting HPC clusters, including GPU/compute nodes and HPC storage technologies (e.g., Lustre, WEKA, Parallel Filesystems).Understanding of high-speed networking (e.g., InfiniBand, Mellanox, RoCE) Experience with HPC cluster management tools such as HPE Cluster Management (HPCM) or NVIDIA Base Command Manager.Familiarity with HPC workload schedulers like Slurm or Altair PBS Pro.Infra & Hardware Stack:Strong background in Linux system administration (RHEL / SLES /Ubuntu) and virtualization (KVM or OpenShift Virtualization).Primary focus on HPE servers and storage; experience with Dell, Lenovo, Supermicro, NVIDIA DGX/HGX platforms is acceptable.Solid understanding of compute, storage, and networking fundamentals in enterprise environments.AI Platform Enablement:Experience deploying and supporting NVIDIA AI Enterprise and related AI/ML frameworks.Familiarity with DevOps/MLOps practices, including CI/CD, Infrastructure as Code (IaC), and cloud-native security.Project Delivery:Demonstrated success in infrastructure project delivery, including platform build-outs for AI/ML and HPC workloads.Ability to collaborate with cross-functional teams and align technical solutions with business goals.What you will bring:Education and Experience Required: 8+ years of professional experience and a Bachelor of Arts/Science or equivalent degree in computer science or related area of study; without a degree, three additional years of relevant professional experience (11+ years in total).Knowledge and Skills: Has sufficient depth and breadth of technical knowledge to design and scope multiple deliverables across a number of technologies.Has demonstrated innovation and communication of new deliverables and offerings.Has led team in the delivery of multiple deliverables across multiple technologies.Ability to develop solutions that enhance the availability, performance, maintainability and agility of a particular customer's enterprise.Has contributed to the design and application of new tools.Ability to re-use existing experience to develop new solutions to take to market.Possesses an understanding, at a detailed level, of architectural dependencies of technologies in use in the customer's IT environment.