Esconet Technologies
Website:
esc.co.in
Company:
https://www.linkedin.com/company/esconet
Seniority: Mid-Senior level
Industries: IT Services and IT Consulting
Job details:
Company: Esconet Technologies
Location: Delhi/NCR – Okhla Phase 1, New Delhi (On-site)
Experience: 5+ Years
About the Role
Esconet Technologies is looking for a highly motivated HPC System Integrator/Administrator with a strong passion for cluster administration, system integration, and validation of HPC clusters. In this role, you will influence the overall integration, delivery, and management of largely open-source HPC products and solutions — spanning Intel and AMD processors, NVIDIA GPUs, storage, InfiniBand, and Linux software.
A solid understanding of parallel processing (problem decomposition and work distribution), parallel programming (MPI, OpenMP), and computer architecture is essential for this role.
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, Computational Science, equivalent mathematical sciences, or a related field, with 3+ years of relevant work experience; or an equivalent combination of education, training, and experience
• 3+ years of experience with software development in Linux
• 3+ years of experience with HPC clusters and systems integration
• Ability to manage the AI stack up to the framework level
• Experience with GPU cluster capabilities and storage integration (LUSTRE/BeeGFS, cluster storage)
• Working knowledge of object-based storage, networking, InfiniBand, solution designing, and technical documentation
Key Responsibilities
• Install, configure, fine-tune, and troubleshoot multi-vendor, multi-site Linux HPC servers
• Build and deploy open-source software as well as vendor/partner software
• Diagnose and resolve system operational issues quickly and effectively
• Verify full operation of systems, including network, systems, and storage performance
• Configure scheduling and queuing systems
• Assist technical support teams with questions and issues encountered by customers
• Coordinate with vendors to resolve hardware and software problems
• Document system administration procedures for routine and complex tasks (wikis)
• Maintain and monitor the security of HPC systems and servers
• Design and configure HPC/Kubernetes clusters with NVIDIA GPU support, including MIG (Multi-Instance GPU) and AI Factory deployments
• Deploy and manage cluster file systems such as Lustre, including OSS (Object Storage Server) and MDS (Metadata Server) node configuration
• Build and maintain effective working relationships with coworkers, managers, and clients
• Travel as needed for on-site cluster installation or maintenance (limited)
Desired Skills & Experience
• Building, configuring, and administering Linux distributions — Rocky Linux, Ubuntu, CentOS, RHEL, and SUSE
• Windows Server administration
• Expert knowledge of parallel/distributed file systems such as Lustre or IBM GPFS
• Strong knowledge of networking and cluster-based distributed computing, including InfiniBand switch configuration
• Experience deploying open-source and commercial HPC platforms
• HPC cluster architecture design and configuration; AI cluster and Kubernetes cluster experience
• Strong scripting skills — Bash, Python, Perl; Ansible for automation is a plus
• Experience building dashboards (e.g., Flask-based) for cluster monitoring is a plus
• Skilled in diagnosing and debugging complex HPC hardware/software issues, with proposed workarounds
• Strong troubleshooting and root-cause analysis capabilities
Key Skill Areas at a Glance
- Cluster Application & Design: HPC Cluster Application, HPC Cluster Architecture Designing, HPC Cluster Configuration
- AI/GPU Infrastructure: AI Cluster, Kubernetes Cluster, NVIDIA GPU, MIG, AI Factory
- Storage: Cluster File System (Lustre), Cluster Storage (OSS & MDS Nodes), BeeGFS, Object-Based Storage
- Networking: InfiniBand, InfiniBand Switch, Networking & Solution Design
- Automation/Scripting: Python, Bash, Perl, Ansible, Flask Dashboards
- OS Administration: Rocky Linux, Ubuntu, CentOS, RHEL, SUSE, Windows Server
Click on Apply to know more.