Principal Software Engineer - Data, Personalization - Microsoft AI

Microsoft Corporation•Redmond, WA

34d•Hybrid

About The Position

As Microsoft continues to redefine the future of AI, we are seeking passionate engineers to tackle some of the most complex and impactful challenges of our time. Our vision is bold - to build intelligent systems that deeply understand users and adapt across agents, applications, services, and infrastructure. This role focuses on building distributed data systems, data pipelines and APIs that power adaptive, context-aware experiences across Microsoft AI. We aim to make Copilot feel like your Copilot - responsive to your preferences, workflows, and goals - while preserving privacy, security, performance, and scale. We are looking for a Principal Software Engineer with to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot's intelligence. You will work across Microsoft AI and Copilot teams. You will possess a methodical approach to problem-solving, proficiency in backend and data technologies, a familiarity with applied AI and its unique challenges, and the ability to architect solutions that stand the test of time. The right candidate is hands-on and enjoys building world-class consumer experiences and products in a fast-paced environment.â¯A key skill is the judgment to make the right risk vs velocity and value decisions. 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
6+ years' experience building scalable services on top of cloud infrastructure like Azure, AWS, or GCP.
4+ years experience of OSS data technology, such as Kafka, Spark, Flink.

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.
Experience with large scale data systems.
Experience working with AI platforms, frameworks, and APIs.
Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.
Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

Responsibilities

Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
Design, build, andâ¯maintainâ¯robust pipelines for telemetry, product usage, and experimentation data.
Own orchestration, monitoring, and DevOps for critical data workflows.â¯Design data models and APIs that enable Copilot to reason about user context, preferences, and history
Build real-time and batch personalization engines that adapt Copilot's behavior.
Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled
Optimize for performance, reliability, and cost across diverse workloads and geographies.
Ship high-quality, well-tested, secure, and maintainable code.
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
Enjoy working in a fast-paced, design-driven, product development cycle.
Embody ourâ¯Cultureâ¯andâ¯Values.