Software Engineer II

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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 business intelligence team builds and maintains Power BI which is the undisputed leader in BI tool in the industry today and serves as the bridge between data professionals & Office users. Power BI’s core value proposition is to enable end users to get answers & insights from their data through data visualization.​

​​Within this organization, the Analysis Services Engine (AS) team builds and evolves the analytical database engine that is the core foundation behind the Power BI Semantic Models aka Datasets as well as SQL Server Analysis Services (SSAS) and Azure Analysis Services (AAS).

Power BI continues to grow rapidly the world’s leading analytical SaaS platforms. SSAS remains a key pillar of the multi-billion-dollar SQL Server product line, while AAS stands out as one of the fastest-growing services in the Azure ecosystem. Together, these platforms enable lightning-fast, enterprise-grade analytics at global scale, empowering organizations everywhere to turn data into decisions. As adoption of the Analysis Services Engine expands across these products, our team is poised for an exciting and impactful future.

As a Software Engineer II, you will contribute to the quality and reliability of Analysis Services (AS). You will be responsible for designing and implementing scalable testing strategies, automation frameworks, and engineering systems. You will work on integrating AI and GenAI technologies into test automation and engineer systems workflows, helping improve engineering efficiency and compliance. You’ll collaborate across disciplines and geographies to align on engineering systems goals, quality standards, and delivery timelines. This role emphasizes hands-on development, secure design practices, and metric-driven execution.​

Required/Minimum Qualifications

• ​​Bachelor’s degree in Computer Science or related technical field AND 4+ years of technical engineering experience with coding in languages including, but not limited to, C#, Java, TypeScript, JavaScript, or Python
• 1+ years experience with testing frameworks OR engineering systems
• Strong communication and collaboration skills across disciplines and global teams
• Willingness to accommodate meetings and collaboration across Pacific Time zone and Taiwan working hours.
  
  

Preferred/Additional Qualifications

• ​​Masters’s degree in Computer Science or related technical field AND 2+ years of technical engineering experience with coding in languages including, but not limited to, C#, Java, TypeScript, JavaScript, or Python
• Experience with Power BI or other business intelligence technologies
• Experience with PowerShell, Azure DevOps (ADO), GitHub, Kusto
• Passion for quality, automation, and engineering efficiency through data-driven insights and GenAI integration
  
  

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:

• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
  

Equal Opportunity Employer (EOP)

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• ​​Build and maintain automation frameworks and test strategies that support reliable releases of AS in various release vehicles including Power BI, AAS, SSAS etc
• Contribute to engineering systems that improve developer productivity and ensure compliance with secure design principles
• Integrate GenAI and telemetry into testing and development workflows to enhance observability and efficiency
• Support live site operations, incident response, and system health monitoring through secure and scalable tooling
• Collaborate with cross-functional teams to align on goals, timelines, and quality standards
• Track and report on success metrics to guide development priorities and ensure continuous improvement
• Embody our culture and values