About the job
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.
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
Qualifications
Minimum
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
Preferred
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
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