Senior Software Engineer

Build Orchestration & Scheduling: Design and operate services that schedule, prioritize, execute, and recover Windows builds across hundreds of branches and pull requests, including the branch onboarding and build configuration that define how each branch builds. Continuous Integration: Own CI and pull request validation for the Windows codebase. Artifacts & Symbols: Deliver build outputs, symbols, drops to downstream teams and release pipelines, and optimize indexing, caching, and artifact management for speed and reliability. Infrastructure & Capacity: Manage build compute, machine lifecycles, autoscaling and capacity planning. Developer Experience (UI/UX): Build and modernize the web experiences Windows engineers rely on daily build status and reporting, build controls, queue visibility, and outage communication. AI Adoption & Automation: Evaluate and apply AI technologies to improve developer productivity, automate operational workflows, accelerate incident diagnosis, and optimize build scheduling and capacity. Service Health: Participate in on-call, lead incident response and root-cause analysis, and improve telemetry and alerting. Mentor other engineers and raise the technical bar across the team. 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. These requirements include but are not limited to the following specialized security screenings: Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience. OR Bachelor’s Degree AND 8+ years technical engineering experience. OR equivalent experience. Experience operating production services with on-call or DRI responsibility, including incident response, postmortems, and SLO-driven reliability work. Hands-on experience with Azure DevOps (ADO) pipelines and CI/CD automation. Experience with build systems and developer productivity infrastructure (MSBuild, BuildXL, Bazel, or similar), distributed build execution, or distributed caching. Experience with large-scale telemetry and query systems (Kusto/KQL, Azure Data Explorer, Application Insights) for diagnosing service and pipeline health. Track record of measurably improving engineering system throughput, reliability, or developer productivity for a large engineering organization. Self-driven and passionate about developer productivity, with excellent communication skills and customer-oriented problem-solving abilities. Proven track record of delivering large-scale, system level software across multiple teams and technologies. Demonstrated experience designing and operating large-scale distributed systems or cloud service backends.