Senior Software Engineer - Microservices & Windows Imaging

Lead the design and delivery of multi-quarter initiatives that modernize tools, services, and workflows. Set technical direction for improvements to platform reliability, performance, security, maintainability, and developer experience. Partner with product teams and Engineering Systems organizations to integrate new workflows while protecting compatibility, scale, and operational continuity. Establish measurable success criteria, telemetry, and operational signals that make regressions and customer impact visible. Develop and improve AI-assisted engineering workflows for investigation, implementation, review, and operational response while maintaining solid validation and engineering judgment. Diagnose complex failures across source, build orchestration, toolchains, infrastructure, dependencies, and artifact production, driving root-cause fixes rather than recurring mitigations. Advance secure software-supply-chain practices, including dependency governance, provenance, artifact integrity, and compliance automation. Mentor engineers through design reviews, code reviews, debugging, and project leadership, raising the technical capability of the broader team. Lead incident response for high-impact build failures and convert operational learning into systemic reliability improvements. Participate in an on-call rotation and respond to incidents that affect service availability or critical business workflows. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience. These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or a related technical field and 6+ years of technical engineering experience; or Bachelor's Degree in Computer Science or a related technical field and 8+ years of technical engineering experience; or equivalent experience. Experience with developer infrastructure, build systems, compilers, CI/CD platforms, dependency management, or large-scale distributed services. Hands-on experience with Azure DevOps pipelines, GitHub Actions, or similar CI/CD automation. Experience with large-scale telemetry and query systems such as Kusto/KQL, Azure Data Explorer, Application Insights, or similar technologies for diagnosing service and pipeline health. Track record of measurably improving engineering-system throughput, reliability, cost efficiency, or developer productivity for a large engineering organization. Experience modernizing long-lived systems while preserving compatibility for existing customers and workflows. Knowledge of secure-development-lifecycle practices and software-supply-chain security. Experience mentoring engineers and creating clarity across ambiguous, multi-stakeholder efforts. Self-driven and passionate about developer productivity, with excellent communication skills and customer-oriented problem-solving abilities. Experience applying AI-assisted development tools responsibly to improve engineering quality and productivity. Experience designing, building, and operating software at significant scale. Experience designing and operating highly available, cloud-based microservices. Demonstrated success leading technically complex projects across team or organizational boundaries. Solid debugging and systems problem-solving skills across unfamiliar codebases and layered infrastructure. Ability to communicate technical strategy, tradeoffs, risks, and decisions clearly to engineering and partner audiences.