Software Engineer Frontend

Microsoft's Azure Data engineering team leads analytics transformation with products like Azure SQL DB, Azure Cosmos DB, Azure Data Factory, Azure Synapse Analytics, and Power BI, aiming to build the data platform for the age of AI. The Event Streams and Schema Sets team focuses on real-time data experiences for ingesting, transforming, and understanding streaming data at scale. Microsoft Fabric is a unified data and analytics SaaS platform combining data engineering, real-time analytics, business intelligence, and AI.

• Bachelor's Degree in Computer Science or related technical field, or equivalent experience
• Technical engineering experience coding in languages including but not limited to C, C++, C#, Java, JavaScript, or Python

Preferred:

• Professional experience building modern web applications using React, TypeScript, and related technologies
• Experience designing and implementing complex user interfaces for enterprise or cloud-based products
• Experience leveraging AI-assisted development tools such as GitHub Copilot
• Experience with component libraries, design systems, and accessibility best practices
• Familiarity with telemetry, experimentation, and data-driven product development
• Ability to meet Microsoft and government security screening requirements, including Microsoft Cloud Background Check

• Participate in on-call rotation to respond to and mitigate live site issues
• Design and deliver end-to-end user experiences within Microsoft Fabric
• Collaborate closely with product managers, designers, and engineers across teams to define product direction and customer scenarios
• Build scalable, maintainable, and performant front-end architectures using modern web technologies
• Transform complex data platform concepts into intuitive workflows, visualizations, and management experiences
• Drive engineering excellence through code reviews, architecture discussions, testing strategies, and operational best practices
• Participate in feature design from concept through production, including telemetry, experimentation, and live-site quality
• Identify and use appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC)

Ability to meet Microsoft and government security screening requirements, including passing the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Microsoft is an equal opportunity employer committed to diversity and inclusion, providing reasonable accommodations for applicants with disabilities.