Senior Software Engineer Manager
Microsoft
Senior Software Engineer Manager
Bangalore, Karnataka, India
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Overview
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.
As a Senior Engineering Manager, you will lead a high-impact team focused on elevating the quality and reliability of Power BI Desktop and Service through robust testing strategies, AI-powered automation frameworks, and modern testing architectures. You will drive the adoption of data-driven quality practices and foster a culture of accountability, care, and continuous improvement across teams in Power BI. In parallel, you will be part of development of secure, scalable engineering systems that enhance productivity and ensure compliance. This includes promoting GenAI integration, secure design principles, and tool innovation to support efficient development workflows. You will foster inclusive collaboration across disciplines and geographies, ensuring alignment on engineering goals and delivery timelines through transparent communication and shared tooling. The role demands metric-based execution and continuous tracking of success indicators to guide team priorities and outcomes.
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.
Qualifications
Required Qualifications
- Bachelor’s degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C#, Java, TypeScript, JavaScript, or Python
- 2+ years people management experience
- 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 Pacific Time zone working hours
Additional Qualifications
- 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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Responsibilities
- Lead the team in building robust testing strategies, automation frameworks, and engineering systems that ensure Power BI Desktop and Service quality and reliability. Drive adoption of modern testing architectures and AI-powered test automation
- Models Microsoft’s leadership principles, empowers teams, supports individual growth, and fosters a culture of accountability and care
- Drives secure design principles, promotes GenAI and automation, and ensures continuous learning and tool development to enhance engineering productivity and compliance
- Coaches on live site operations, telemetry integration, incident response, and observability. Ensures secure and efficient troubleshooting and system health monitoring
- Oversees project planning, estimation, and resource allocation. Ensures deployment safety, rollback readiness, and experimentation infrastructure with telemetry and success metrics
- Foster strong collaboration and communication across disciplines and geographies. Ensure alignment on engineering goals, quality standards, and delivery timelines through inclusive planning, shared tooling, and transparent communication practices