Software Engineer -Engineering Systems

Overview We are looking for a proactive Software Engineer who enjoys tackling hard problems in developer productivity and engineering efficiency. In this role, you will design and implement solutions that keep developer workflows fast, reliable, and easy to scale—improving automation, reducing toil, and strengthening the end-to-end developer experience. You will also leverage modern AI-assisted engineering tools to accelerate investigation, automate repetitive work, and improve quality—while applying solid engineering judgment, verification, and secure engineering practices. 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.   Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Responsibilities - Own and evolve engineering productivity solutions that keep developer workflows reliable, repeatable, and easy to improve over time. - Diagnose and resolve complex engineering workflow issues (e.g., CI reliability, dependency and environment drift, performance regressions, and cross-platform inconsistencies). - Create automation that reduces toil: workflow orchestration, quality gates, dependency updates, CI hardening, and self-service tooling. - Use AI-assisted tools thoughtfully (e.g., GitHub Copilot, Visual Studio, VSCode) to speed up debugging, code review, documentation, and prototyping—while applying solid engineering judgment and verification. - Collaborate with p