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With the power of AI, we’re building best-in-class shopping experiences that span across Copilot, Edge, Bing, MSN, and Windows, helping customers discover, evaluate, and decide with speed and trust.</p>\n<p>We’re looking for a Principal Software Engineer (Frontend/Full Stack) to help shape the future of shopping in Copilot. This role is for an engineering leader who can set technical direction, drive end-to-end execution across client experiences, services/APIs, data contracts, telemetry/experimentation, and operational excellence, and raise the bar on craftsmanship and reliability at scale.</p>\n<p>You’ll operate as a multiplier: influencing architecture and quality across multiple workstreams, partnering closely with Product, Design, Data Science, and other engineering teams, and unblocking delivery by diving deep wherever needed,frontend, backend, or data/measurement. You’ll bring strong engineering judgment, a bias for clarity and velocity, and an ability to translate customer problems into durable technical solutions.</p>\n<p>Microsoft’s mission is to empower every person and every organisation on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise 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.</p>\n<p>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.</p>\n<p>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.</p>\n<p>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. 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We are growing and are looking for people to join our team. 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