About The Position

Aligned with Microsoft’s mission to empower every person and every organization on the planet to achieve more, Microsoft Shopping delights customers with confidence, convenience, and savings—anywhere. 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. 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. 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 solid engineering judgment, a bias for clarity and velocity, and an ability to translate customer problems into durable technical solutions. 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.

Requirements

  • 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.
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

  • Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Demonstrated technical leadership: owning architecture and execution across multiple components/teams, driving alignment, and making high-quality tradeoffs.
  • Solid 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.

Responsibilities

  • Set technical direction and drive execution for Copilot Shopping experiences end-to-end, with a solid 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.
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