Set technical direction and drive execution for Copilot Shopping experiences end-to-end, with a strong bar for frontend quality (UX polish, accessibility, performance, reliability). Lead architecture across the stack: client (web/mobile), services/APIs, data contracts, telemetry/experimentation, and operational tooling. Partner with Product, Design, and Data Science to define success metrics, instrument telemetry, run experiments, and iterate based on outcomes. Drive engineering excellence across the team via design reviews, code reviews, testing strategy, CI/CD, and performance/quality standards. Own live-site health: improve observability, monitoring/alerting, incident response, and reduce time-to-diagnosis through systemic fixes. Decompose ambiguous problems, align stakeholders, and deliver durable solutions that improve scalability, maintainability, and developer velocity. Mentor senior engineers, raise the technical bar, and amplify impact through documentation, best practices, and cross-team collaboration. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 6+ years of professional software engineering experience building customer-facing applications. These requirements include but are not limited to the following specialized security screenings: Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's a plus); 10+ years of professional software engineering experience is a plus. Demonstrated technical leadership: owning architecture and execution across multiple components/teams, driving alignment, and making high-quality tradeoffs. Strong experience building modern client experiences (web and/or mobile) and collaborating across tiers to deliver end-to-end outcomes. Experience designing and evolving client-server contracts and service integrations (REST/JSON, GraphQL, streaming/event-based patterns such as SSE/WebSockets). Experience with measurement and experimentation at scale: telemetry design, dashboards/analysis, and data-driven iteration. Track record of improving reliability, performance, and operational excellence through observability and systematic engineering practices.
