Our client operates within the AI infrastructure space, supporting large-scale, GPU-accelerated environments that power advanced machine learning workloads. Their platforms are built to run distributed training and inference across high-performance compute clusters, enabling scalable and reliable delivery of AI features. This role focuses on strengthening release engineering practices to support consistent, secure, and efficient deployments in compute-intensive environments. Role As a Senior Release Engineer, AI Infrastructure, you will lead the development of release engineering capabilities, with a focus on CI/CD pipelines and deployment workflows designed for GPU-accelerated, distributed systems. You will design and manage automated pipelines, testing gates, and release processes that support multi-node workloads and distributed ML training use cases. This includes building test infrastructure for long-running, compute-intensive jobs and ensuring deployment practices align with GPU ...