Note: The job is a remote job and is open to candidates in USA. Microsoft is a leading technology company that is pioneering advancements in security through its Project Perception initiative. As a Principal Group Software Engineering Manager, you will lead teams focused on developing AI-driven security solutions, fostering a collaborative environment, and driving innovation in offensive and defensive security practices.
Responsibilities
- Lead the strategy, vision, and execution for Microsoft’s offensive (Red) and defensive (Green) AI agent portfolios, enabling secure, scalable, and customer-focused security innovation
- Foster an inclusive, high-performing culture where engineers, researchers, and data scientists can do their best work, grow their careers, and contribute diverse perspectives that strengthen outcomes
- Drive the development and operation of offensive security agents, ensuring they are built and deployed with appropriate safety controls, governance, authorization frameworks, and Responsible AI principles
- Lead the evolution of defensive agent capabilities that help organizations identify, prioritize, and address security findings by creating seamless experiences from detection through remediation
- Partner across engineering, security research, product, and platform teams to align priorities, solve complex challenges, and deliver meaningful customer impact
- Champion data-driven decision making through investment in agent quality, evaluation systems, safety measurements, operational excellence, and the economics of large-scale agentic systems
- Establish technical direction and engineering excellence for highly available, production-grade AI systems that customers can trust in real-world environments
- Hire, develop, and retain exceptional talent across software engineering, offensive security, and data science disciplines while creating opportunities for others to learn, grow, and lead
- Coach and empower managers, technical leads, and individual contributors, building a diverse leadership pipeline and strengthening organizational capability over time
- Model Microsoft’s culture and values through collaboration, accountability, inclusion, continuous learning, and a commitment to empowering every person and organization to achieve more
Skills
- Bachelor's Degree in Computer Science, or related technical discipline 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
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
- Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master'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
- 5+ years of experience in offensive security, defensive security operations, security research, or related domains, with knowledge of responsible, ethical, and safe security practices
- 8+ years of experience in software engineering, security engineering, machine learning, or a related technical field, including delivery of production-scale systems in security or other mission-critical environments
- 6+ years of experience leading engineering organizations, including managing managers and developing high-performing, inclusive teams across engineering, security, and data science disciplines
- 2+ years of experience building, deploying, or evaluating AI-powered, agentic, or large language model (LLM)-based systems, including quality, safety, governance, and operational effectiveness considerations
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