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



· **Security & Compliance** o Ensure HPC environment adheres to security best practices and compliance standards. **Required Skills & Qualifications** · **Technical Expertise** o Robust knowledge of **Linux OS (CentOS, RHEL)** and HPC hardware platforms ( **HPE** , **NVIDIA DGX** ). o Hands-on experience with **parallel file systems** (Lustre, GPFS) and enterprise storage solutions. o Proficiency in **InfiniBand networking** and high-speed interconnects. o Familiarity with **job schedulers** and cluster management tools (IBM LSF, Bright Cluster Manager, Altair Grid Manager). · **Automation & Scripting** o Expertise in **Ansible** , **Chef** , **Cobbler** , and scripting languages (Bash, Python). o Experience with **AWS ParallelCluster** or similar cloud-based HPC solutions. · **Monitoring & Logging** o Practical experience with **Zabbix** , **Grafana** , and **ELK Stack** for system health and performance monitoring. · **Soft Skills** o Strong problem-solving and analytical skills. o Ability to work in a fast-paced environment and lead technical teams. o 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** · Bachelor's or Master's degree in Computer Science, Engineering, or related field. #LI-LK1 Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

📌 Sr. HPC ENGINEER (Hyderabad)
🏢 Cognizant
📍 Hyderabad