Tower Lead - Red Hat Enterprise Linux, Red Hat Satellite, Red Hat Cluster

Tower Lead - Red Hat Enterprise Linux, Red Hat Satellite, Red Hat Cluster India Tower Lead - Red Hat Enterprise Linux, Red Hat Satellite, Red Hat Cluster Bengaluru, Karnataka

The Role

The AI Infrastructure Engineer (L4) provides enterprise‑level architectural leadership and strategic ownership for high‑performance AI and ML infrastructure platforms. This role is responsible for designing, governing, and scaling next‑generation GPU/accelerator platforms , ensuring high availability, performance, and cost optimization for large‑scale training and inference workloads.The L4 engineer operates as a domain leader and platform owner , driving roadmap, standards, and cross‑functional alignment across engineering, operations, and business stakeholders.

Competency Focus:

AI Platform Architecture, HPC at scale, distributed systems leadership, GPU platform strategy, cloud & hybrid optimization, SRE practices

Keywords:

AI Platform Architect, GPU Platform Owner, HPC Leader, Kubernetes Enterprise Architect, Infrastructure Strategy, AI Ops, SRE Governance Linux, Kubernetes ,Pacemaker, DevOps Networking and Nvidia GPU Clusters

Key Responsibilities

Responsibilities (L4 Enhancements Applied)

1. Architecture & Platform Ownership

Define and own end‑to‑end architecture for enterprise AI infrastructure platforms (GPU, storage, network, orchestration)Establish reference architectures, design standards, and best practices for AI/ML platforms across hybrid/cloud environmentsLead platform modernization (AI‑native infrastructure, automation-first, GPUaaS models)Drive platform scalability strategy for multi-cluster, multi-region deploymentsOptimize Linux systems (Ubuntu, RHEL, Rocky) for AI/HPC workloads through NUMA, kernel, and clock tuning.Knowledge on Pacemaker and devopsLinux, Kubernetes ,Pacemaker, DevOps Networking and Nvidia GPU Clusters

1. Strategic Leadership & Roadmap

Define long-term roadmap for AI infrastructure aligned with business and AI/GenAI adoption strategyEvaluate and onboard emerging GPU/accelerator technologies (NVIDIA, AMD, TPU, specialized AI hardware)Lead vendor strategy and partnerships (OEMs, cloud providers, NVIDIA ecosystem, etc.)Provide strategic advisory to leadership on AI infrastructure investments and scaling decisions