Senior Software Engineer, MS Edge Growth

Microsoft Edge is a world-class browser powered by AI data and innovation. The Browser Growth Engineering & Data Science team is responsible for building the platforms services and customer-facing experiences that help drive user growth engagement retention and satisfaction across Edge and Copilot-powered experiences.

We are looking for a highly motivated Senior Software Engineer to help shape the future of Microsoft Edge. This role combines product engineering experimentation telemetry feedback systems and AI-powered engineering solutions. You will design and deliver customer-facing features that drive growth while also building the underlying platforms that enable data-driven decision making at scale.

In this role you will create impactful user experiences leveraging data to guide decisions and solving complex engineering challenges across client service and data platforms. You will work closely with Product Management Design Data Science and engineering teams across Microsoft to drive innovation and measurable business impact.

Microsofts 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.

• Design implement and ship customer-facing Microsoft Edge features that drive user acquisition engagement retention and growth.
• Partner with Product Management Design and Data Science teams to identify growth opportunities and transform insights into impactful product experiences.
• Build and operate scalable platforms and services that power experimentation telemetry customer feedback analytics and AI-driven scenarios.
• Leverage experimentation user research telemetry and feedback signals to make data-driven product decisions and continuously improve user experiences.
• Drive end-to-end engineering projects from architecture and design through implementation deployment and live-site operations.
• Develop secure reliable and high-performing systems that meet Microsofts privacy compliance and security requirements.
• Improve engineering productivity and product quality through automation AI-assisted workflows and intelligent operational tooling.
• Design and maintain large-scale telemetry and data pipelines that enable actionable insights and measurement across Edge experiences.
• Investigate and resolve complex production issues driving improvements in reliability performance observability and operational excellence.
• Lead technical discussions influence architecture decisions and contribute to long-term platform and product strategy.
• Collaborate across organizations to align technical solutions share platform capabilities and deliver cross-team initiatives.
• Mentor engineers and promote engineering excellence through code reviews design reviews and best engineering practices.

Required Qualifications:

• Bachelors Degree in Computer Science or related technical field AND 4 years technical engineering experience
  • OR equivalent experience.

Other Requirements:
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.

Preferred Qualifications:

• Masters Degree in Computer Science or related technical field AND 6 years technical engineering experience
  • OR Bachelors Degree in Computer Science or related technical field AND 8 years technical engineering experience
  • OR equivalent experience.
• 4 years of professional software engineering experience developing large-scale commercial software services or cloud-based applications.
• Experience designing building and operating distributed systems cloud services or large-scale applications.
• Solid software design debugging problem-solving and analytical skills.
• Experience working collaboratively across engineering product and data science teams.
• Demonstrated ability to drive projects from concept to production with a focus on quality reliability and customer impact.
• Experience developing consumer-facing product features that drive growth engagement retention or monetization.
• Experience with experimentation platforms A/B testing feature management systems and data-driven product development.
• Experience building telemetry analytics data pipelines or large-scale measurement systems.
• Experience applying AI or machine learning technologies to engineering productivity product experiences or operational workflows.
• Familiarity with customer feedback systems recommendation systems classification pipelines or intelligent triage solutions.
• Knowledge of privacy compliance governance and Responsible AI principles for large-scale consumer products.
• Experience with Azure services cloud-native architectures and modern DevOps practices.
• Proven ability to influence technical direction and lead complex cross-organizational initiatives.
• Passion for building products and platforms that help millions of users be more productive and engaged every day.

#MicrosoftAI

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119800 - $234700 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 $160200 - $261000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.

Required Experience:

IC