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Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world
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.
The Databases organization delivers trusted, scalable operational AI ready databases that power application development across cloud, hybrid, and on premises environments. Our portfolio includes SQL, Azure Cosmos DB, DocumentDB, PostgreSQL, and MySQL, supporting developers as they build AI native applications and run critical workloads at global scale.
The Microsoft Fabric App Dev team is hiring a Principal Software Engineer to help define and build the next generation of application development capabilities on Microsoft Fabric. Our mission is to enable all developers, low code or pro code, to build, manage, and operate data-intensive applications with the simplicity, productivity, and operational excellence of modern SaaS platforms.
As a technical leader on the team, you will play a key role in shaping the architecture, platform strategy, and developer experience for Fabric Apps. You will drive the design and implementation of core platform capabilities including GraphQL APIs, User Data Functions, AI-powered developer experiences, and scalable application runtime services. You will partner closely with engineers, product leaders, and architects across Microsoft to define the future of application development on Fabric.
Our engineering challenges span the full stack—from large-scale distributed systems and cloud services to developer tools, APIs, SDKs, and AI-driven development experiences. This provides a unique opportunity to influence end-to-end product direction while working on some of the most complex and impactful problems in modern cloud platforms. We are looking for engineers who are passionate about building products for developers. The ideal candidate combines deep technical expertise with strong architectural thinking, thrives in ambiguity, and has a proven track record of delivering platform capabilities that enable other developers to be successful at scale.
Our team operates with the energy and ownership mindset of a startup while leveraging the scale, reach, and impact of Microsoft Fabric. We foster a culture where engineers are empowered to take ownership, challenge assumptions, innovate boldly, and support one another while building products that delight developers worldwide.
We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
Required Qualifications :
Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python or equivalant experience.
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:
Preferred Qualifications
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 OR 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 OR equivalent experience.
6+ years of experience building commercial grade software, with experience in mission-critical cloud applications, large scale, high availability services.
7+ years of experience building full stack applications
4+ years of experience building products for developers
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Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
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