We are looking for a Full Stack Senior Engineer to help build and evolve Clarity's high performance analytics platform. 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.
Responsibilities:
- 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.
Qualifications:
- 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 are required for this role.
- 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.
#MicrosoftAI Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
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