Software Engineer II - Full Stack

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 in 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.

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.

As a full stack Software Engineer II, you will own and deliver key components end-to-end, from design through production operations, with a strong focus on AI Engineering and modern LLM-based systems:

• Build and ship end-user features in Fabric
• Implement modern React-based UX extension experiences aligned with UX design guidelines and shared UI patterns
• Build and use Fluent UI component libraries and follow organizational UX patterns to ensure consistent look and feel across Fabric experiences
• Contribute to backend service code that power Fabric Data Engineering and Data Science experiences, primarily in .NET (C#), Python, and related technologies
• Contribute to quality: write/maintain automated tests and participate in E2E testing (e.g., Playwright-based tests) and debugging of test and pipeline issues
• Work in a large-scale engineering environment: participate in code reviews, design discussions, and partner collaboration across teams
• Build globally-ready experiences: follow localization patterns and update localizable resources used by the Lakehouse UX localization pipeline
• Collaborate with PMs and partner engineering teams to translate scenarios into clear technical designs and incremental deliverables
• Maintain and operate services in production, participate in on-call/incident response, and drive improvements in operational excellence
• Review code and designs, mentor peers through constructive feedback, and contribute to engineering best practices across the team

Embody our culture and values 

Qualifications: Required

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Qualifications: Additional

• Bachelor's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Master's Degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience
• Experience building production web experiences with modern component-based UI frameworks, especially React
• Experience with engineering fundamentals: code quality, debugging, performance, maintainability, and testing mindset
• Understanding of modern LLM systems and AI Engineering: prompting, grounding/RAG, tool/function calling, agent orchestration, etc.
• Experience operationalizing AI/ML features: monitoring, telemetry, experimentation (A/B), rollout strategies, and cost/latency optimization
• Familiarity with cloud-native engineering on Azure (compute, storage, networking) and secure, compliant data handling
• Experience collaborating across disciplines (PM, design, research, partner teams) to deliver customer-facing AI capabilities

Equal Opportunity Employer (EOP) 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (Accessibility | Microsoft Careers). 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.