Lead Solutions Architect

Hewlett Packard Enterprise; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A global IT services company in Bengaluru seeks a Solutions Architect and Automation Lead to integrate cutting-edge technologies in AI and HPC. Candidates should have over 8 years of experience, a strong background in Linux, and proficiency with Kubernetes and GPU workloads. This full-time role offers the chance to lead innovative projects that transform IT services. Join the team to advance digital transformation strategies and collaborate on impactful solutions.

Qualifications

• 8+ years of professional experience in IT.
• Ability to integrate Kubernetes with AI/ML workloads.
• Experience architecting HPC clusters.

Responsibilities

• Deploy and support NVIDIA AI Enterprise and AI/ML frameworks.
• Integrate Kubernetes with hybrid or private cloud environments.
• Lead the delivery of infrastructure projects for AI/ML and HPC workloads.

Skills

Container orchestration platforms (Red Hat OpenShift, SUSE Rancher, CNCF Kubernetes)

GPU-accelerated workloads (NVIDIA GPU Operator, DCGM)

HPC cluster management (HPE Cluster Management, NVIDIA Base Command Manager)

Linux system administration (RHEL / SLES / Ubuntu)

DevOps/MLOps practices (CI/CD, Infrastructure as Code)

Education

Bachelor of Arts/Science in Computer Science or related field

Job description

HPE Operations

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HPE 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 you.

What you will do

• 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 DCGM.
• Proven 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.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology

Industries

• IT Services and IT Consulting and Software Development

Assistant Vice President - Solutions Architect and Automation Lead

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