New 
Principal Software Engineer
 Microsoft | |
 United States, Washington, Redmond | |
 Sep 04, 2025 | |
|
OverviewMicrosoft 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 tobuild 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 big data analytics team providesa range of products that enable data engineersanddata scientiststo extract intelligence from all data-structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric. The Synapse Data Science team provides the Data Science and Artificial Intelligence experiences in Microsoft Fabric, providing Fabric customers with complete end-to-end data science workflows for the purpose of data enrichment and business insights. Join our team to help build the services that power these experiences. We are expanding our team to bring together the best in big data management, machine learning, and artificial intelligence. We work with and contribute to state-of-the-art open-source packages, including Apache Spark, Koalas, Pandas, Dask, sklearn, MLFlow, TensorFlow, and PyTorch, as well as generative AI. We combine those with our own tech to build secure, reliable, scalable, and high-performance machine learning platforms. With our platforms, we strive to enable our customers to follow the principles of responsible AI: Fairness, Inclusiveness, Reliability & Safety, Privacy & Security, Transparency, Accountability. You will be an important part of a team of highly motivated and talented individuals and this is a great opportunity to challenge yourself, grow your career and be part of the fastest growing field in computer science and beyond. 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.
ResponsibilitiesLeads efforts and discussions for the architecture of aspects of products/solutions. Independently creates and mentors others for a clear and articulated plan for testing and assuring the quality of solutions and defines success for outcomes of tests. Leads identification of dependencies and the development of design documents for a product, application, service, or platform. Creates and applies metrics to drive the quality and stability of code, as well as appropriate coding patterns and best practices. Holds accountability for the impact of build deployments on both users and other services. Leads efforts to collect, classify, and analyze complex data and analyses on a range of metrics. Leads identification of internal tools and creation of new tools that will be useful for creating the product, determining if methods are still applicable for the current solution. Demonstrates and maintains an up-to-date understanding of both global and local regulations for technologies and system applications to ensure regulations are followed and met. Escalates situations internally to resolve complex blockers. Embody our culture and values | |