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Microsoft Clarity is a large scale user behavior analytics platform used by millions of websites to understand how users interact with their site. We are looking for a Full Stack Senior Engineer to help build and evolve Clarity’s high performance analytics platform, owning data accuracy, coverage, and efficiency while designing systems that operate safely at internet scale. In this role, you will develop performance sensitive web and data platforms, build AI forward product experiences, and apply solid engineering fundamentals to deliver reliable, secure, and insight driven capabilities with minimal impact on customer sites. You will work closely with Product Managers, Designers, and Engineers to ship end to end features, influence architecture decisions, and raise the quality bar across the team. 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.
Job Responsibility:
Build and operate scalable, reliable, distributed services on Azure using modern frameworks and event-driven architectures
Apply solid JavaScript expertise to design and maintain efficient, reliable data instrumentation mechanisms that ensure accurate, performant, and privacy-conscious analytics with minimal impact on customer websites
Contribute to analytics data quality by improving the accuracy, coverage, and efficiency of data collection for features you work on, ensuring trustworthy insights while respecting performance and privacy constraints
Implement AI‑forward product features and use AI‑assisted engineering tools within the SDLC, applying solid engineering fundamentals to deliver reliable and secure outcomes with appropriate accountability
Participate in engineering excellence practices including design discussions, code reviews, testing, and operational readiness, helping improve system resilience with minimal customer impact
Collaborate closely with product team to ship end‑to‑end features, contribute to architectural discussions, and uphold a high quality bar
Embody our Culture and Values
Requirements:
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
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Nice to have:
Master'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 Bachelor'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 equivalent experience
2+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP
Solid expertise in JavaScript / TypeScript, HTML, CSS and browser internals
Solid understanding of web performance, accessibility, and cross‑browser compatibility
Experience with Development & Debugging with dev environments like Visual Studio or Visual Studio Code
Familiarity with LLMs and AI ChatBots
Prompt Engineering, Azure DevOps, GIT
Solid problem‑solving skills and ability to work independently
Experience in leading technical projects and supporting architectural decisions with data