New 
Software Engineering IC4
 Microsoft | |
 United States, Washington, Redmond | |
 Aug 19, 2025 | |
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OverviewAre you passionate about building intelligent, scalable systems that power next-generation AI experiences?TheMicrosoft Copilot Studioteam within the Business Industry Copilot (BIC) organization is at the forefront of enabling makers and developers to build, publish, and manage copilots that extend across Microsoft 365 and beyond. We are looking for aSenior Software Engineerto join our team and lead the design and development of core capabilities in theData Planeas part of hosting and running millions of agents. In this role, you will ensure these agents operate with speed and reliability, delivering high-performance and dependable experiences at scale. As a Senior Software Engineer, you will play a pivotal role in shaping the architecture and execution of mission-critical services that enable agents to run on a large scale.You'll work closely with product, design, and partner teams across Microsoft to deliver high-impact features that empower users and scale across millions of tenants. We are looking for a Senior Software Engineer to join our team! 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.
ResponsibilitiesLead architecture, design, and implementation of scalable, reliable, and secure services in the Copilot Studio Runtime.Collaborate with cross-functional teams to define and deliver end-to-end scenarios that span Azure, M365, and Power Platform ecosystems.Mentor and guide engineers across the team, fostering a culture of technical skill, inclusion, and continuous learning.Partner with PMs and leadership to align engineering investments with product vision and customer needs.Practice engineering best practices, including CI/CD, observability, and operational excellence.Partner with Data Science and AI experts to transform what it means to build AI-first SaaS. | |