Principal - Platform Engineer for HPC and AI Technology

2 weeks ago


Chennai, Tamil Nadu, India Tata Communications Full time

Job Title: HPC Engineer with Expertise in Linux, K8s, and GPU

We are seeking a highly skilled HPC Engineer with expertise in Linux, Kubernetes, and GPU technology to join our team at Tata Communications. As a key member of our infrastructure team, you will be responsible for designing, implementing, and managing high-performance computing infrastructure to support our AI and analytics workloads.

Responsibilities:

  • Design and implement high-performance computing infrastructure using Linux, Kubernetes, and GPU technology.
  • Manage and troubleshoot complex HPC systems, including cluster management, resource allocation, and performance optimization.
  • Collaborate with cross-functional teams to ensure seamless integration with existing infrastructure and applications.
  • Stay up-to-date with industry trends and emerging technologies to ensure our infrastructure remains competitive and efficient.

Requirements:

  • 8+ years of experience in IT infrastructure, with 3-4 years in HPC and AI technology.
  • Strong knowledge of Linux scripting and administration.
  • At least 1-2 years of experience with Kubernetes, including cluster management and resource allocation.
  • Experience with GPU-based infrastructure, including Nvidia BCM and SLURM scheduler.

Preferred Qualifications:

  • Experience with ELK Log management system.
  • Exposure to Python scripting.
  • Devops Tools, including Jenkins, Git, SonarQube, Bugzilla, and Harbor Registry.

Location: Chennai (WFO)

Skills:

  • Linux OS with scripting.
  • HPC and AI Platforms with GPU-based Infrastructure.
  • Managing, Installing, Configuring, Deploying, Troubleshooting, and Administration of tools like Nvidia BCM, SLURM scheduler, Ansible Playbook/Tower.
  • Networking: VLAN, VXLAN, InfiniBand, IP Subnetting, Routing, Firewall.
  • Storage: Exposure to Parallel FS-based storage, Object storage, and NFS.
  • Infrastructure: HP/Dell/rack servers/GPU.


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