Principal Software Engineering Manager

** Overview*
* Are you an accomplished engineering leader with a proven track record of building high-scale systems and solving complex security challenges? At Microsoft Security, our mission is to create a safer digital world by building an end-to-end security cloud that simplifies and strengthens our customers' security posture. As organizations navigate growing threats, regulatory demands, and increasingly complex digital environments, they need better ways to understand and secure vast amounts of data across on-premises, multi-cloud, and SaaS environments.

Microsoft Security is seeking an  
** Principal Software Engineering Manager
** to lead a key subsystem of a groundbreaking, exabyte-scale data platform for security data. In this role, you will drive technical strategy and feature development end-to-end, lead a talented team of engineers, and collaborate across partner teams to deliver scalable, high-performance solutions.

Our platform is designed to give organizations comprehensive visibility into their digital estates, from devices and users to permissions, data systems, and virtual machines. By integrating and normalizing security data from diverse sources, the platform helps customers manage security data more efficiently and cost-effectively while using advanced AI and machine learning to uncover threats, identify patterns, and answer critical security and governance questions in real time.

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.

** Responsibilities*
* + Leads disciplined use and improvement of AI tools/practices across the SDLC. Guides ownership of AI-generated requirements, designs, code, and assets, plus Responsible AI controls. Coaches use of engineering health measures (Accelerate, SPACE, ESSP) to improve processes, especially AI. Leads AI experimentation and adoption recommendations.

+ Guides clear test strategy to ensure quality and prevent regressions, including security tests and negative cases. Leads adding tests for gaps, removing/fixing broken tests, and improving suite speed, reliability, and defect localization. Ensures scalable, reliable test frameworks and testable code during design. Maintains knowledge of test types/architectures and applies them; leads redesign of untestable code. Advocates AI for test automation.

+ Guides and leads dependency identification and integration into design documents. Identifies other teams/technologies to leverage and how systems support each other. Ensures security, compliance, performance, and reliability across the stack. Collaborates across teams to resolve dependency ownership/validation conflicts and align delivery schedules.

+ Coaches others to review product and test code for standards, coverage, and fit. Leads insightful, timely code reviews that improve quality and accelerate delivery. Reviews for diagnosability, reliability, testability, maintainability, security, compliance, and best practices. Ensures automated source code analysis is part of the build/development process.

+ Guides team to identify automation requirements and apply automation across production/deployment, targeting zero-touch deployment. Guides validation in simulated/non-production environments. Ensures CICD infrastructure supports developer and operational agility (e.g., low lead-time-to-change).

+ Leads collaboration with partner teams to ensure products integrate well with partner components, with end-to-end testing,…