As a Senior Software Engineer at Microsoft, you will be part of the Artificial Intelligence Infrastructure organization, focusing on building foundational platform services for large-scale AI models and services. Your role will involve collaborating with various teams to enhance the deployment, management, and governance of AI workloads. You will also drive architecture and influence engineering strategies to improve operational excellence. This position offers the opportunity to develop expertise in distributed systems and cloud infrastructure while contributing to strategic AI initiatives.

• Bachelor's Degree in Computer Science or related technical field AND 4+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• Master's Degree in Computer Science or related technical field AND 6+ years of 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 8+ years of technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
• Experience designing, building, and operating large-scale distributed systems or cloud services with high availability, reliability, and performance requirements.
• Experience with Microsoft Azure, Kubernetes, containers, infrastructure as code, and modern continuous integration and continuous deployment (CI/CD) systems.
• Experience operating production services, including observability, incident management, capacity planning, and service health monitoring.

• Design, build, and operate large-scale distributed systems that power the lifecycle of Artificial Intelligence models and services across Microsoft.
• Drive architecture, implementation, and evolution of cloud platform capabilities that improve deployment velocity, reliability, governance, and operational excellence for AI workloads.
• Partner with engineering, product management, and research teams to translate complex business and technical requirements into scalable platform solutions.
• Lead the development of highly available, secure, and observable services leveraging Site Reliability Engineering principles and best practices.
• Improve developer productivity by creating self-service experiences, automation, and tooling that simplify onboarding, deployment, monitoring, and management of AI applications.
• Analyze production systems, identify performance and reliability opportunities, and drive continuous improvements through data-driven engineering decisions.
• Mentor engineers, contribute to technical strategy, and influence engineering excellence through design reviews, knowledge sharing, and cross-team collaboration.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.