Principal Software Engineer Manager- CTJ- Poly Security Clearance

Position: Principal Software Engineer Manager- CTJ- Poly with Security Clearance
Overview Microsoft has an exciting opportunity for a Principal Software Engineer Manager to lead engineering teams responsible for developing, deploying, operating, and continuously improving Azure services within Microsoft Specialized Clouds. This role sits at the intersection of cloud platform engineering, live site operations, and regulated cloud delivery, supporting mission critical Azure products in environments. As a people manager and technical leader, this role owns end to end service accountability-from design and deployment through live site reliability, operational excellence, and customer impact.

The manager will guide teams delivering capabilities across specialized cloud environments, ensuring service parity, reliability, and operational readiness while honoring unique regulatory constraints. This role requires strong collaboration across engineering, security, compliance, and operations partners to ensure Azure services are safely deployed, operated, and supported  manager is expected to drive operational rigor, reduce manual production touches through automation, and ensure clear ownership for incident response, change management, and compliance workflows.

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 AI-Native Development
* Leads team on the disciplined use of, and improving artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC). Guides team on proactively taking responsibility for the content of their AI-generated requirements, design documents, code, and other assets, and assisting other members of the team to do the same. Leads team on incorporating Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets.

Coaches team on applying SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI. Leads team on experimenting with AI tools and practices to improve their own capabilities, and providing recommendations on how to adopt them to others. Coding
* Reviews debugging tools, tests, logs, telemetry, and other methods, and acts as an expert for others to proactively verify assumptions while developing code before issues occur across products in production. Conducts incident retrospectives to identify root causes of problems, and leads teams on implementing repair actions and identifying mechanisms to prevent incident recurrence. Tracks and attempts to minimize cost of debugging multiple scenarios.

Leads team on proactively applying least-access principles, using logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security, and driving those practices.
* Coaches others to review product code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area. Leads team on bringing insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers' skills. Conducts code reviews in a timely fashion that helps accelerate the pace of development on the team.

Considers diagnosability, reliability, testability, and maintainability when reviewing code and understands when code is ready to be shared or delivered. Applies and reviews for coding patterns, security risks, compliance issues, and best practices in code reviews, providing feedback on code to drive adherence to best practices. Advocates for and ensures team uses automated source code analysis tools that are incorporated into the build/development process.

* Guides team within and across teams on producing extensible, maintainable, well-tested, secure, and performant code that adheres to design specifications. Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs. Identifies best practices and coding patterns and provides deep expertise on the coding and validation strategy. Defines or reuses quality metrics, best practices, and coding patterns to ensure testable code.

Leads by example in best code-writing practices (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions). Leads team on identifying and anticipating blockers or unknowns during the development process, escalating them, communicating how they will impact timelines, and leading efforts to identify and implement strategies and/or opportunities to address them.…