Join NTT DATA as a Senior AI Platform & GPU-as-a-Service (GPUaaS) Engineer in Bangalore. This role is pivotal in building, operating, and optimizing our enterprise AI Platform & Acceleration Services (AIPAS). You will support advanced workloads including AI, Generative AI, Machine Learning, Large Language Models, and GPU-enabled computing.

This position requires close collaboration with architecture, infrastructure, security, and business teams to deliver a robust, scalable, and secure GPU platform. Your contributions will be essential for enabling enterprise-wide AI adoption and transforming GPU infrastructure into a comprehensive GPU-as-a-Service offering.

You will be responsible for comprehensive platform engineering, customer onboarding, and enabling GPU workloads. This includes ensuring operational readiness, implementing observability, managing capacity, and developing self-service capabilities.

Key duties involve automating infrastructure and platform services, supporting highly available distributed systems, and engaging with various technology teams. You'll also be instrumental in optimizing service performance and transforming our GPU infrastructure into a premier enterprise GPU-as-a-Service solution.

A Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent experience, is required. You should possess at least 5 years of experience in Platform, Infrastructure, Cloud, or Site Reliability Engineering, with a minimum of 3 years focused on Kubernetes and/or OpenShift.

Essential experience includes operating enterprise production platforms, automating infrastructure, supporting distributed systems, and familiarity with Machine Learning and Large Language Models. Experience working across diverse technology teams and with NVIDIA GPU infrastructure is also crucial. Skills in Python, CUDA, and Golang are preferred for advanced automation and platform development.