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Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Software Engineering II- Full stack

Canada, Vancouver 85000.00 - 166800.00 CAD / Year · Job Posted April 15, 2026
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Job Description

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 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.

Job Responsibility

  • Build and ship end-user features in the 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 following organization level 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

Requirements

  • Bachelor's Degree in Computer Science, or related technical discipline 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
  • 1+ years of experience building production web experiences with modern component-based UI frameworks, especially React
  • 1+ years of experience in engineering fundamentals: code quality, debugging, performance, maintainability, and testing mindset
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Nice to have

  • Master'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 Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • 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
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