Cognizant Hiring For HPC Engineer- Hyderabad/ Bangalore Location

Dear candidate,

Please find the JD below for your reference and if you are interested kindly share your updated profile as attachment to lavanya.kumaresan@cognizant.com

Role Overview

We are seeking seasoned professionals with deep expertise in operating and managing High-Performance Computing (HPC) platforms. The ideal candidate will have hands-on experience in designing, deploying, and maintaining HPC clusters, storage systems, and networking infrastructure, leveraging industry-leading tools and technologies.

Key Responsibilities

• HPC Infrastructure Management
• Operate and maintain HPC clusters based on CentOS, RHEL, and hardware platforms like HPE and NVIDIA DGX.
• Ensure optimal performance, scalability, and reliability of compute resources.
• Storage Administration
• Manage large-scale storage systems including Dell Isilon, VAST Storage, Lustre, and GPFS.
• Implement data lifecycle management and optimize storage performance for HPC workloads.
• Networking
• Configure and maintain InfiniBand-based networking for low-latency, high-bandwidth communication.
• Troubleshoot network performance issues and ensure secure connectivity.
• Cluster and Job Scheduling
• Administer cluster management tools such as Bright Cluster Manager, Altair Grid Manager
  
  , and IBM LSF.
• Optimize job scheduling and resource allocation for diverse workloads.
• Monitoring and Automation
• Implement monitoring solutions using Zabbix, Grafana, and ELK Stack.
• Automate provisioning and configuration using Cobbler, Chef, Ansible, and AWS ParallelCluster.
• Performance Tuning & Troubleshooting
• Conduct performance benchmarking and tuning for HPC workloads.
• Diagnose and resolve hardware/software issues across compute, storage, and network layers.
• Security & Compliance
• Ensure HPC environment adheres to security best practices and compliance standards.

Required Skills & Qualifications

• Technical Expertise
• Strong knowledge of Linux OS (CentOS, RHEL) and HPC hardware platforms (HPE, NVIDIA DGX).
• Hands-on experience with parallel file systems (Lustre, GPFS) and enterprise storage solutions.
• Proficiency in InfiniBand networking

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  and high-speed interconnects.
• Familiarity with job schedulers and cluster management tools (IBM LSF, Bright Cluster Manager, Altair Grid Manager).
• Automation & Scripting
• Expertise in Ansible, Chef, Cobbler, and scripting languages (Bash, Python).
• Experience with AWS ParallelCluster or similar cloud-based HPC solutions.
• Monitoring & Logging
• Practical experience with Zabbix, Grafana, and ELK Stack for system health and performance monitoring.
• Soft Skills
• Strong problem-solving and analytical skills.
• Ability to work in a fast-paced environment and lead technical teams.
• Excellent communication and documentation skills.

Preferred Qualifications

• Exposure to AI/ML workloads on HPC clusters.
• Experience with containerization (Docker, Singularity) in HPC environments.
• Knowledge of security hardening for HPC systems.

Education

• Bachelors or Masters degree in Computer Science, Engineering, or related field.