Work on the architecture, design and development of the core compute services powering AzureML to tackle challenging AI problems using state-of-the-art LLM models such as GPT5 and OSS models. Work on the architecture, design, and development of the core AI Infrastructure services that support large scale AI training and inferencing. Develop, test, and maintain backend services written in C#, Go, Rust, C++, hosted on Kubernetes clusters and Docker containers. Develop and operate training/inference infra framework and machine learning systems. Enhance systems and applications to ensure high stability, efficiency, & maintainability, low latency, tight cloud security. Provide operational support and DRI responsibilities for the product. Provide vision, expertise, and technical leadership to other team members. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Knowledge and first-hand experience with large model training system. 3+ years of experience operating and design system which suppot the large model training. Experience in distributed systems and architecture. AI infrastructure and workload knowledge.