Software Engineering IC4

Microsoft
San Francisco, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$119,800.0 - $234,700.0
Working hours
Regular working hours
Job source

Tech stack

Clean Code Principles Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Big Data C Sharp (Programming Language) Cloud Computing Data Systems DevOps Distributed Data Store
+10 more
Python (Programming Language) Technical Data Management Systems Google Cloud Apache Spark Backend AI Platforms Information Technology Apache Flink Apache Kafka Data Pipelines

Job description

We are looking for a Senior Software Engineer with data background 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., * 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.

Requirements

You will possess a methodical approach to problem-solving, proficiency in backend and data technologies, proficiency in big data processing technologies 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. A key skill is the judgment to make the right risk vs velocity and value decisions., * 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.

Preferred Qualifications:

  • 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 Google Cloud Platform.

  • 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.

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