Job Description

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 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 as one of 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 Senior Software Engineer, you will play a critical role in advancing the quality and reliability of Analysis Services (AS). You will be responsible for ensuring high quality and compliant release of AS in these release vehicles by designing and implementing scalable testing strategies, enhancing existing testing frameworks, enabling AI-powered automation, and modernizing engineering systems. You will work on making the engineering systems workflows secure and compliant, and to improve engineering efficiency using GenAI and other methods. Working closely with cross-functional teams across geographies, you will ensure alignment on goals, quality standards, and delivery timelines. This role emphasizes metric-driven execution, continuous learning, and innovation in automation and observability.

Responsibilities

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Lead the design and implement robust testing strategies and automation frameworks, enhance existing test systems to ensure high-quality releases of AS in various release vehicles including Power BI, AAS, SSAS etc. Lead the development of secure, scalable engineering systems that enhance productivity and support compliance. Mentor and support team members, providing technical guidance, fostering growth, and promoting a culture of learning and accountability. Integrate GenAI and modern testing architectures to improve test coverage, reliability, and efficiency. Collaborate across disciplines and geographies to align on engineering goals, quality standards, and delivery timelines. Drive metric-based execution and continuous tracking of success indicators to inform priorities and outcomes. Embody our culture and values

Qualifications

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Required

/Minimum

Qualifications

Bachelor's degree in Computer Science or related technical field AND 6+ years of technical engineering experience with coding in languages including, but not limited to, C#, Java, TypeScript, JavaScript, or Python. 2+ years experience with testing frameworks OR engineering systems. Proven ability to communicate and collaborate effectively across disciplines and global teams.
Willingness to accommodate meetings and collaboration across US Pacific Time zone and Taiwan working hours.

Preferred/Additional Qualifications

Masters'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. Experience with Power BI or other business intelligence technologies. Experience with PowerShell, Azure DevOps (ADO), GitHub, Kusto.
Passion for driving quality and engineering efficiency through data-driven insights, GenAI integration, and automation strategies.

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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Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.