Principal Software Engineer

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.

Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.

Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to 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 Fabric Data Engineering Experience & Infrastructure team is hiring a backend Engineer to help build infrastructure for Fabric Data Engineering, based on Apache Spark. You will help implement highly scalabe and reliable distributed systems with advanced capabilities designed to help Data Engineers achieve more through Microsoft Fabric.

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.

Responsibilities

Adopt AI-first development practices for creating, implementing, optimizing, debugging, refactoring, and reusing code to establish and enhance features, performance, maintainability, effectiveness, and return on investment (ROI). Collaborate with appropriate stakeholders to determine user requirements for product scenarios. Drive end-to-end across multiple teams starting from identification of, documentation of design to completion of deveopment of a feature, product, application, service, or platform. Leverage subject-matter expertise of product features and partner with appropriate stakeholders (e.g., product managers) in driving workgroup's project plans, release plans, and work items. Act as a Designated Responsible Individual (DRI) and guide other engineers in developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate. Proactively seek new knowledge and adapt to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.