As a Principal Software Engineering Manager on the Evaluation Platform Team, you will be responsible for managing a team and owning some of the core systems that evaluate AI quality, safety, and impact across Copilot experiences used by millions of users. Manage, coach, and support a team of individual contributors on the Copilot Shadow Experimentation platform Grow the team by developing engineers into independent senior and principal contributors. Create clarity for the team by setting the right priorities and engineering direction for evolving the platform. Apply high-scale design principles across every tier of the service, ensuring agility and reliability. Quickly diagnose and drive resolution of problems across a complex, distributed service ensuring high reliability. Set technical direction and delivery for the team AI-Native Development - Provide practical technical leadership on the disciplined use of, and improving artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC). Lead team on experimenting with AI tools and practices to improve efficiency and productivity Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Significant experience in software engineering with proficiency in one or more programming languages such as C, C++, C#, Java, JavaScript, or Python. Experience designing, developing, and maintaining large-scale software systems. Experience incorporating AI-assisted or AI-native development practices into the software development lifecycle. Experience leading and developing engineering teams. These requirements include but are not limited to the following specialized security screenings: Advanced degree in Computer Science, Engineering, or a related technical field Experience in backend, distributed systems, platform, infrastructure, or developer productivity engineering. Experience building scalable, reliable, and maintainable services and platforms. Experience using data and operational metrics to inform engineering decisions. Ability to work effectively in a fast-paced and evolving environment. Demonstrated ownership and accountability in delivering results.
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