Senior Solution Architect

7 days ago

Mumbai Maharashtra Pune Maharashtra, India beBeeData Full time ₹ 1,20,00,000 - ₹ 1,50,00,000

About the Role

This highly skilled Presales Lead position involves working closely with customers and prospects to comprehend their business needs, technical challenges, and strategic goals. A focus on data center modernization and AI adoption is essential for success in this role.

Key Responsibilities:
  • Engage with clients and prospects to gather insights into their business requirements, technical obstacles, and strategic objectives.
  • Develop comprehensive data center and AI solutions, translating customer needs into detailed technical specifications.
  • Serve as a primary technical consultant for the sales team, providing expert guidance on solutions spanning compute, networking, and storage.
  • Create compelling technical presentations, solution overviews, and product demonstrations for both technical and executive-level audiences.
  • Develop detailed proposals, Bills of Materials (BOMs), and Statements of Work (SOWs) for proposed solutions.
  • Maintain seamless communication between the customer and our engineering teams, ensuring a smooth transition from presales to implementation.

Essential Skills and Qualifications:

  • A minimum of 8 years of experience in presales, solutions architecture, or consulting roles, with a strong emphasis on data center and HPC technologies.
  • Core expertise in multi-vendor Data Center solutions, including:
    • Networking: Cisco Nexus and NX-OS, Arista switches and EOS CloudVision, or other leading data center networking platforms.
    • Compute: Cisco Unified Computing System (UCS), Dell PowerEdge servers, Supermicro servers, including specialized GPU platforms, and other server technologies.
    • Management Orchestration: Experience with Cisco Nexus Dashboard (NDFC, NDO), Arista CloudVision, or similar orchestration tools.
    • Ai HPC Infrastructure: Cloud-Native, proven experience or conceptual knowledge in designing infrastructure for Ai ML and containerized workloads, including:
      • Ai HPC Compute: Nvidia GPU platforms, e.g., DGX systems, A100 H100, CUDA, and related software stacks.
      • Containers: Red Hat OpenShift or other Kubernetes platforms.
    • Ecosystem Knowledge: Expertise in integrating solutions with third-party ecosystem products, particularly Storage: VAST Data, NetApp, Pure Storage, or other high-performance storage solutions.
  • Soft Skills:
    • Excellent verbal and written communication skills.
    • Proven ability to deliver impactful presentations and technical demonstrations.
    • Strong problem-solving and analytical abilities.
    • Experience collaborating with sales teams and customers to achieve business outcomes.

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