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Lead Solution Architect

https://www.hpe.com/ Logo

Hewlett Packard Enterprise

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Location:
India, Bangalore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Lead Solution Architect role at Hewlett Packard Enterprise focusing on designing and delivering infrastructure solutions for AI/ML and HPC workloads. The position involves working with Kubernetes platforms, HPC clusters, and enterprise infrastructure to help customers connect, protect, analyze, and act on their data from edge to cloud.

Job Responsibility:

  • Design and scope multiple deliverables across multiple technologies
  • Lead team in delivery of multiple deliverables
  • Develop solutions that enhance availability, performance, maintainability and agility of customer's enterprise
  • Contribute to design and application of new tools
  • Re-use existing experience to develop new solutions
  • Understand architectural dependencies of technologies in customer's IT environment
  • Advise, integrate, and accelerate customers' outcomes from digital transformation

Requirements:

  • 8+ years of professional experience
  • Bachelor of Arts/Science or equivalent degree in computer science or related area of study
  • without a degree, 11+ years of relevant professional experience
  • Proficiency in container orchestration platforms (Red Hat OpenShift, SUSE Rancher, CNCF Kubernetes)
  • Experience with GPU-accelerated workloads and tools like NVIDIA GPU Operator and DCGM
  • Ability to integrate Kubernetes with AI/ML workloads and GPU infrastructure in hybrid or private cloud environments
  • Experience architecting HPC clusters including GPU/compute nodes and HPC storage technologies (Lustre, WEKA, Parallel Filesystems)
  • Understanding of high-speed networking (InfiniBand, Mellanox, RoCE)
  • Experience with HPC cluster management tools (HPE Cluster Management, NVIDIA Base Command Manager)
  • Familiarity with HPC workload schedulers (Slurm, Altair PBS Pro)
  • Strong background in Linux system administration (RHEL/SLES/Ubuntu) and virtualization (KVM, OpenShift Virtualization)
  • Primary focus on HPE servers and storage
  • experience with Dell, Lenovo, Supermicro, NVIDIA DGX/HGX platforms
  • Solid understanding of compute, storage, and networking fundamentals
  • Experience deploying and supporting NVIDIA AI Enterprise and related AI/ML frameworks
  • Familiarity with DevOps/MLOps practices (CI/CD, Infrastructure as Code, cloud-native security)
  • Demonstrated success in infrastructure project delivery for AI/ML and HPC workloads
  • Ability to collaborate with cross-functional teams and align technical solutions with business goals

Nice to have:

  • Accountability
  • Active Learning
  • Active Listening
  • Business Growth
  • Client Expectations Management
  • Coaching
  • Creativity
  • Critical Thinking
  • Cross-Functional Teamwork
  • Customer Centric Solutions
  • Customer Relationship Management
  • Design Thinking
  • Empathy
  • Follow-Through
  • Growth Mindset
  • Intellectual Curiosity
  • Long Term Planning
  • Managing Ambiguity
  • Process Improvements
  • Product Services
  • Relationship Building
What we offer:
  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
  • Career development programs
  • Flexible work arrangements
  • Inclusive work environment

Additional Information:

Job Posted:
September 29, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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