Senior Systems Engineer

5 days ago

Hyderabad Secunderabad Telangana, India beBeeHighPerformance Full time ₹ 15,00,000 - ₹ 20,00,000
System Administrator for High-Performance Computing Environments

Are you an experienced professional in high-performance computing environments? We are seeking a skilled System Administrator to manage, optimize, and troubleshoot HPC clusters and cloud-based environments.

This role requires hands-on experience with Python, Kubernetes (K8s), Slurm, OpenStack, and Ansible, as well as the ability to support external clients in live troubleshooting sessions. The ideal candidate will have deep technical knowledge of drivers, troubleshooting methods, and system-level debugging.

Key Responsibilities:
  • Manage and optimize HPC clusters to ensure high availability and performance.
  • Troubleshoot GPU, CPU, network drivers, firmware, and OS-level issues.
  • Debug storage, networking, and job scheduling bottlenecks in Slurm-based environments.
Cloud and Containerized HPC Environments:
  • Deploy and manage HPC workloads in Kubernetes for AI/ML and parallel computing.
  • Optimize OpenStack-based HPC clusters with Ceph, Cinder, and Neutron for cloud scalability.
  • Implement containerized HPC workflows using Kubernetes and OpenShift.
Automation and Infrastructure as Code:
  • Develop Ansible and Terraform scripts for provisioning and managing HPC resources.
  • Automate job scheduling, cluster monitoring, and log analysis using Python.
  • Optimize CI/CD pipelines for HPC and AI/ML applications.
Performance Tuning and Benchmarking:
  • Benchmark and optimize multi-node HPC workloads (MPI, NCCL, ROCm, CUDA).
  • Tune OS parameters, networking (InfiniBand, RoCE), and Slurm configurations for peak performance.
  • Enhance HPC storage performance (Ceph, Lustre, NFS) and distributed computing efficiency.
Client Support and Collaboration:
  • Provide real-time technical support and troubleshooting for HPC users.
  • Engage with developers, DevOps, and system administrators to optimize cluster performance.
  • Document solutions, best practices, and contribute to internal knowledge bases.
PREFERRED QUALIFICATIONS:
  • Experience with AMD MI300, MI2X0 GPUs, ROCm, MPI, UCX, or XPMEM.
  • Exposure to containerized workloads using Singularity or Docker in HPC.
  • Familiarity with OpenStack deployment automation (e.g., TripleO, Kolla, or OpenStack-Ansible).
  • Experience in customer-facing technical roles, with a strong ability to troubleshoot live issues.

This is a critical role in ensuring seamless HPC operations, troubleshooting complex system issues, and supporting high-profile clients with real-time problem resolution in both bare-metal and cloud-based HPC environments.

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