AI & HPC Infrastructure Engineer

In this role, you will deploy, automate, and manage GPU-enabled infrastructure across on-premises and cloud environments, enabling scalable, reliable, and cost-effective compute resources for engineering and R&D teams. You will work at the intersection of AI infrastructure, cloud platforms, automation, and operations to support next-generation AI and engineering applications., * Build, configure, and operate GPU and HPC clusters across compute, storage, and networking environments.

• Support capacity planning, performance tuning, and resource optimization for AI training, inference, and compute-intensive workloads.
• Monitor infrastructure health and ensure high availability and performance.
• Deploy and manage compute environments across on-premises and public cloud platforms (AWS, Azure, or GCP).
• Contribute to infrastructure modernization, scalability, and resiliency initiatives.
• Support cloud adoption and hybrid computing strategies.
• Implement Infrastructure-as-Code (IaC) and automation frameworks for provisioning and operations.
• Develop monitoring, logging, and alerting solutions to improve platform reliability.
• Drive continuous improvements in operational efficiency and resource utilization.
• Deploy, integrate, and support AI services, including LLM APIs, coding assistants, and AI/agent platforms.
• Collaborate with engineering teams to enable AI-driven development workflows.
• Support AI/ML infrastructure requirements and best practices.
• Troubleshoot and resolve infrastructure, networking, and platform issues.
• Create and maintain technical documentation, standards, and operational runbooks.
• Partner with engineering, IT, and platform teams to deliver secure and scalable solutions.

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• 3+ years of hands-on experience in Infrastructure Engineering, Platform Engineering, Cloud Operations, or HPC environments.
• Strong experience with Linux-based infrastructure administration.
• Experience working with public cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with GPU/HPC environments and workload orchestration platforms such as Kubernetes or Slurm.
• Experience with automation, infrastructure provisioning, monitoring, and performance optimization.
• Solid understanding of compute, storage, networking, virtualization, and container technologies.

Preferred Qualifications

• Experience supporting AI/ML workloads and GPU-based infrastructure.
• Knowledge of Kubernetes, Docker, Infrastructure-as-Code tools, and observability platforms.
• Familiarity with AI platforms, LLM deployment, and modern engineering productivity tools.

Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. Prodapt’s ASIC Services is a leading provider of SoC/ASIC RTL Design, UVM based verification, Emulation, FPGA based validation, DFT, RTL2GDSII, Physical Design using ICC2 and Innovus, Mask Layout, Firmware, Silicon Bringup, and Analog mask layout. Our embedded services include device drivers, RTOS porting, and board bring-up. A “Great Place To Work® Certified “ company, Prodapt employs over 5,000 technology and domain experts in 30+ countries. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations