Principal Software Engineer

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Software Engineering

Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs, and personalization pipelines that drive Copilot's intelligence. The role focuses on building systems that power adaptive, context-aware experiences across Microsoft AI, making Copilot responsive to user preferences and workflows while ensuring privacy, security, performance, and scale.

What you'd actually do

  1. Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
  2. Design data models and APIs that enable Copilot to reason about user context, preferences, and history
  3. Build real-time and batch personalization engines that adapt Copilot’s behavior.
  4. Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled
  5. Optimize for performance, reliability, and cost across diverse workloads and geographies.

Skills

Required

  • 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
  • 6+ years' experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP.

Nice to have

  • 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
  • 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
  • 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.

What the JD emphasized

  • lead the design and development
  • architect solutions that stand the test of time
  • methodical approach to problem-solving
  • judgment to make the right risk vs velocity and value decisions
  • 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

Other signals

  • building distributed data systems and APIs that power adaptive, context-aware experiences across Microsoft AI
  • make Copilot feel like your Copilot — responsive to your preferences, workflows, and goals
  • lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot’s intelligence
  • 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