Chief Architect

7 hours ago

Pune, Maharashtra, India beBeesolution Full time ₹ 17,72,187 - ₹ 21,43,750
Job Summary:

This role is responsible for designing and building high-performance computing platforms that meet the needs of AI workloads.

  • Analyze business requirements to determine the best infrastructure solutions.
  • Collaborate with cross-functional teams to develop technical strategies aligned with business goals.
  • Design, build, and deploy enterprise-grade AI/ML and HPC platforms using Kubernetes, GPU-accelerated tools, and HPC cluster management software.
Main Responsibilities:Kubernetes Platforms

Proficient in container orchestration platforms such as 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

Architecting HPC clusters, including GPU/compute nodes and HPC storage technologies.

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.

Infrastructure & 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

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.

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