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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 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 scalable and reliable distributed systems with advanced capabilities designed to help Data Engineers achieve more through Microsoft Fabric.
Job Responsibility:
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 feature requirements for product scenarios
Drive identification of dependencies and the documentation and development of design to completion for a feature, product, application, service, or platform
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
Requirements:
Bachelor’s degree in computer science or engineering or mathematics or physics or related technical discipline
2+ years of software engineering and product development experience in industry
2+ years of proven track record of shipping end-user software services or products
3 years of in-depth object-oriented programming experience in (not limited to) Java/C++/C#
Experience with AI driven code development and testing
Equal ability in reading and enhancing existing code as well as writing entirely new code from scratch