Senior Software Engineer - M365 Storage Fabric

Design, develop, and operate large-scale distributed storage and high-availability systems, including data replication, database copy management, failover, recovery, and evolving storage architectures, to improve reliability, scalability, performance, and efficiency. Build and apply AI agents and agentic workflows to automate incident investigation, mitigation, root-cause analysis, software development, testing, debugging, and other operational and engineering processes. Apply AI, machine learning, and data science techniques to analyze large-scale operational data, develop predictive and decision models, identify system risks, and optimize reliability and resource efficiency. Independently drive complex engineering projects from technical design and implementation through testing, deployment, production operations, and continuous improvement. Collaborate with cross-functional teams across storage, infrastructure, and AI engineering to solve challenging technical problems and advance system architecture and engineering practices. Continuously explore, evaluate, and apply emerging technologies and engineering approaches to deliver innovative, practical solutions.

Required Qualifications: 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 PythonOR equivalent experience. Preferred Qualifications: Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR Bachelor'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 equivalent experience. Experience designing, developing, and operating large-scale distributed systems, cloud infrastructure, or backend services. Solid understanding of software engineering fundamentals, system architecture, concurrency, reliability, and fault tolerance. Hands-on experience using AI and developing or integrating AI agents and agentic workflows to solve practical engineering problems. Foundational understanding of machine learning, statistical analysis, or data-driven modeling, with the ability to evaluate and apply these approaches to engineering problems. Demonstrated ability to independently solve complex technical problems, deliver high-quality production software, and continuously learn and adopt emerging technologies. Experience with distributed storage systems, databases, replication protocols, consistency models, or advanced storage technologies such as erasure coding and Shingled Magnetic Recording (SMR). Experience building production AI agent systems, including tool integration, Model Context Protocol (MCP), orchestration, evaluation, safety guardrails, and autonomous task execution. Hands-on experience with applied machine learning, data science, predictive modeling, anomaly detection, or decision optimization, particularly using large-scale operational telemetry. Experience applying agentic engineering to automate software development, testing, troubleshooting, or incident management workflows. Experience designing, troubleshooting, and optimizing highly available services in large-scale cloud production environments. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.