Principal Software Engineer - Data, Personalization - Microsoft AI

## About the role - Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals. - 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 our Culture and Values. ## Requirements - 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. - 4+ years' experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP. - 3+ years' experience in OSS data technology, such as Kafka, Spark, Flink. - Experience with large scale data systems. - Experience working with AI platforms, frameworks, and APIs. - Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. - 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.