Senior Software Engineer - Data

Architect scalable, low-latency systems/data pipelines for ingesting, processing, and serving personalized signals. Design, build, and maintain robust pipelines for telemetry, product usage, and experimentation data. Own orchestration, monitoring, and DevOps for critical data workflows. 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. Bachelor's degree in computer science, or related technical discipline AND 4+ years technical engineering experience building systems with coding in languages including, but not limited to, Python, C#, Java OR equivalent experience. 3+ years experience in OSS data technology, such as Kafka, Spark, Flink. 4+ years experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP.

with large scale data systems.

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.