Software Engineer II - Full Stack (The Fabric Data Engineering Experience & Infrastructure)
About The Position
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. Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric. The Fabric Data Engineering Experience & Infrastructure team is hiring a Full Stack Engineer to help build LLM-powered data engineering experiences and infrastructure for Fabric Data Engineering. You will help implement agentic workflows and scalable LLM-backed data features (e.g., AI Functions integration, notebook copilots, evaluation/telemetry, etc.) with advanced capabilities designed to help Data Engineers achieve more through Microsoft Fabric.
Requirements
- 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.
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
