Software Engineer II - Full Stack (The Fabric Data Engineering Experience & Infrastructure)

Microsoft
Canada, British Columbia, Vancouver2026-06-18onsite

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