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

Microsoft Microsoft · Big Tech · Vancouver, BC +1 · Software Engineering

Software Engineer II role focused on building LLM-powered data engineering experiences and infrastructure for Microsoft Fabric. The role involves implementing agentic workflows, LLM-backed data features, and operationalizing AI/ML features, with a focus on full-stack development including React-based UX and backend services in .NET/Python.

What you'd actually do

  1. Build and ship end-user features in Fabric
  2. Implement modern React-based UX extension experiences aligned with UX design guidelines and shared UI patterns
  3. Contribute to backend service code that power Fabric Data Engineering and Data Science experiences, primarily in .NET (C#), Python, and related technologies
  4. Contribute to quality: write/maintain automated tests and participate in E2E testing (e.g., Playwright-based tests) and debugging of test and pipeline issues
  5. Maintain and operate services in production, participate in on-call/incident response, and drive improvements in operational excellence

Skills

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
  • 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 have

  • 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
  • 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

What the JD emphasized

  • LLM-powered data engineering experiences
  • agentic workflows
  • scalable LLM-backed data features
  • AI Functions integration
  • notebook copilots
  • evaluation/telemetry
  • operationalizing AI/ML features
  • modern LLM systems and AI Engineering
  • prompting
  • grounding/RAG
  • tool/function calling
  • agent orchestration
  • monitoring
  • telemetry
  • experimentation (A/B)
  • rollout strategies
  • cost/latency optimization

Other signals

  • LLM-powered data engineering experiences
  • agentic workflows
  • scalable LLM-backed data features
  • AI Functions integration
  • notebook copilots
  • evaluation/telemetry
  • operationalizing AI/ML features