Principal Software Engineering Manager

Lead disciplined use and improvement of artificial intelligence (AI) tools throughout the software development lifecycle, ensuring Responsible AI practices and guiding experimentation to improve AI capabilities and adoption and fully agentic loops. Guide and review complex architecture and design decisions for high-scale systems, ensuring solutions meet performance, scalability, resiliency, security, and cost requirements, while leveraging open-source and managed services. Lead efforts to produce extensible, maintainable, secure, well-tested, and performant code; continuously improve code quality, performance, and reliability at scale, incorporating AI-assisted coding where appropriate. Coach and lead teams in creating and executing comprehensive validation strategies including security testing, leveraging AI for test automation and improving test suite reliability and scalability. Drive engineering excellence by establishing and sharing best practices for secure design principles, scaling customer requirements, and proactively integrating telemetry for monitoring system health and security. Lead collaboration across teams to identify and manage dependencies, coordinate schedules, resolve conflicts, and align on delivery milestones ensuring seamless integration and operation at scale. Mentor and develop team members to ensure their technical skills remain current, fostering a culture of learning, innovation, and adherence to engineering health metrics. Bachelor'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 Python These requirements include but are not limited to the following specialized security screenings: Master'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 Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years people management experience. 4+ years of Azure services expertise. Understanding of modern AI technologies, including generative AI, foundation models, and AI-powered systems, with the ability to apply AI concepts to real-world engineering challenges. Experience designing or building agentic systems and agentic loops, including systems that can reason, plan, take actions, use tools, and iteratively respond to results. Experience managing teams of 10+ engineers, including providing technical direction, developing engineering talent, and driving execution across complex initiatives.