Software Engineer II - CoreAI

Imagine making it faster and easier for tens of thousands of Microsoft engineers to build great products — that's what you'll do on the Engineering Thrive Insights team. You'll join the team behind the data platform, metrics, and developer-facing tools that measure and improve the engineering experience at Microsoft, spanning developer satisfaction, change velocity, build quality, and AI tool impact. You'll help shape data products like ThriveIQ, our new service that puts engineering metrics at developers’ fingertips through natural language interfaces, and Data Flywheel, our agentic coding tool improvement loop.  In this role, you'll design and operate the data-driven Python services that power how Microsoft engineers understand their own productivity — work that directly influences how the company ships software. You'll grow deep expertise in data engineering and dimensional modeling, agentic AI and MCP server development, privacy-by-design metric APIs, and developer productivity frameworks like DORA and SPACE, while using AI coding assistants in your daily workflow to build the next generation of AI-powered developer tools at Microsoft scale.

Works with  appropriate internal  stakeholders (e.g., product manager, privacy/security subject matter expert, technical lead) to understand and  determine  customer/user requirements for a set of features. Incorporates customer insights into future designs or solution fixes with minimal supervision. Incorporates unwritten requirements, such as  appropriate continuous  feedback loops that measure actionable, quantitative (e.g., customer value, usage patterns, solution performance) and qualitative (e.g., accessibility, globalization) indicators of value. Understands, and begins providing feedback on, and advocating for the security and privacy needs of the customer who will be using the set of features.   Creates and implements code for a product, service, or feature, reusing code as applicable with minimal supervision. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered. Applies coding patterns and best practices to write code (e.g.,  leveraging   state-of-the-art  generative artificial intelligence [GenAI], approaches to source code organization, naming conventions). Escalates  identified  blockers or unknowns during the development process, communicates how they will  impact  timelines, and contributes to  identifying  strategies and/or opportunities to address them with minimal supervision.   Builds knowledge, shares  new ideas , and shares pinpoints of engineering tool gaps to improve software developer tools to support easier, faster, and more effective software engineering for complex product features.  Identifies  whether open source or internal code is available to address coding needs for a set of  product   features, and  reuses it in a responsible manner where applicable. Develops higher-level awareness of tools outside current areas of expertise.  Helps to   identify  and/or create tools that are useful for building the product,  determining  if methods are still applicable for the current solution.   Uses  appropriate artificial  intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner.  Takes  responsibility for the content of their AI-generated changes to artifacts, reviewing all changes and applying  appropriate tooling  and processes with minimal guidance.   Acts as a designated responsible individual (DRI), working  on-call  to  monitor  a system/product feature/service for degradation, downtime, or interruptions. Alerts stakeholders as to the status and  gains  approval to restore system/product/service for simple problems. Responds within  service  level agreement (SLA)