Head of AI Infrastructure Operations
L&T Technology Services Limited (company site, opens in a new tab)18–20 yrsChennaiOn-siteDirect career pageEst. 45–65 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead 24x7 operational management of large-scale NVIDIA GPU AI infrastructure including cloud services, compute, storage, and networking to ensure >99.99% availability.
- Own end-to-end cloud operations including incident management, capacity planning, hardware lifecycle, vendor governance, and operational automation.
- Build and manage Cloud Operations, NOC, and Infrastructure teams, drive operational excellence via KPIs, service reviews, and continuous improvements aligned with hyperscale cloud standards.
Minimum Requirements
- Bachelor's or Master's degree in Engineering, Computer Science, or related discipline.
- 18+ years experience in Cloud Infrastructure or Data Center Operations; 8+ years leading enterprise or hyperscale operations teams.
- Strong expertise in NVIDIA GPU Infrastructure, NVIDIA NCP Architecture, AI/HPC Infrastructure, InfiniBand Networking, High Performance Storage, Enterprise Linux, Kubernetes/OpenShift, ITIL service management, and automation.
- Location must be Chennai, India (implied from job location); No explicit notice period mentioned.
Ideal Candidate Profile
- Senior leader with deep hands-on experience managing hyperscale AI GPU cluster operations including NVIDIA DGX SuperPOD or similar environments.
- Proven success in delivering operational stability and SLA compliance for >1000 GPU clusters and complex AI infrastructure platforms.
- Expert in vendor & OEM management, crisis and major incident leadership, and operational automation within regulated or sovereign cloud contexts.