Principal Software Engineer

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Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

​​Within Azure Data, the messaging and real-time analytics team provides comprehensive solutions and a robust platform that enables users to ingest high granularity signals (real-time & observability) and complex data, converting those into a competitive advantage in real-time for both end users and modern applications.

We are looking for a Principal Software Engineer to join our team.

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This role will develop AI services that enable ML models and AI agents to operate on large-scale real-time data within Microsoft Fabric. This opportunity will focus on advancing the next generation of real-time AI capabilities, including intelligent agents and time series AI.

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Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications

• ​​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
  • OR equivalent experience.​
• 4+ years of experience working on large-scale applications or distributed systems.

Other Requirements

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• Experience with large language models (LLMs) and generative AI.
• Background in machine learning, artificial intelligence, or data science.
• Strong understanding of distributed systems design and implementation.
• Familiarity with Azure or other cloud platforms.
• Proficiency in Agile development practices and CI/CD pipelines.​

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

#azdat #azuredata #analytics #ai #agents #copilot #realtimeintelligence #microsoftfabric #llm #ml​

• Innovate how business users leverage cutting-edge AI technologies and help build world-class agents.
• Collaborate with partner teams to deliver new value in our product and across Microsoft’s ecosystem.

Embody our culture and values