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About the role
As a full stack Software Engineer II, you will own and deliver key components end-to-end, from design through production operations, with a strong focus on AI Engineering and modern LLM-based systems: 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 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. 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 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
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