Senior Software Engineer - Data, Personalization - Microsoft AI at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

0.0

Posted On

21 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Data Pipelines, Telemetry, Product Usage, Experimentation Data, DevOps, Data Models, APIs, Personalization Engines, Cloud Infrastructure, Data Technology, AI Platforms, Problem Solving, Interpersonal Skills, Collaboration, Learning

Industry

Software Development

Description

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 field AND 4+ 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. 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 systems and data pipelines for personalized signals. Collaborate with cross-functional teams to ensure safe and user-controlled personalization.