The Artificial Intelligence for Information Technology Operations (AIOps) Health Platform team builds and operates one of Microsoft’s highest‑scale, mission‑critical cloud services that power Azure Monitor, Azure Resource Health, and core health and alerting capabilities used by internal Microsoft services and external Azure customers. The platform processes billions of signals each day and generates millions of alerts each month, enabling engineering teams across the company to support reliable service performance at global scale. As the organization advances toward the next era of Artificial Intelligence for Information Technology Operations, the mission is to help cloud engineers accomplish more with reduced operational effort. The team applies machine learning, intelligent signal processing, and large‑scale distributed systems to detect issues early, lessen operational load, and deliver actionable insights for services across areas such as compute and storage. The work sits at the intersection of large‑scale cloud infrastructure, artificial intelligence‑driven health modeling, and service reliability. In this role, you will join a team responsible for complex, horizontally scaled cloud systems and collaborate closely with engineering partners across Azure to design next‑generation health, monitoring, and incident‑management capabilities. You will contribute to system architecture, guide technical strategy, and deliver features that directly support Microsoft’s operational excellence. You will also collaborate with senior engineers, support high‑quality engineering practices, and mentor others while helping shape the future of Artificial Intelligence for Information Technology Operations at Microsoft. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees