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Are you passionate about AI, data, and transformative user experiences? Do you bring energy, curiosity, and a strong sense of ownership to your work? The Finance Data & Experiences (FD&E) organization is on a mission to redefine how Microsoft measures, monitors, and optimizes its global business — and we’re looking for top talent to join us. This is a unique opportunity to lead with bold ideas, apply cutting-edge technology, and work across Finance, Sales, Marketing, Business Operations, and Product Engineering to deliver high-impact business solutions. The right candidate will thrive in fast-paced, cross-functional environments, bring fresh thinking to complex problems, and be eager to learn to take ownership of end-to-end processes and outcomes. Join us and be part of a team that’s pushing the boundaries of innovation, taking risks, and implementing AI to drive business excellence At FD&E, we foster a culture of customer centricity, innovation, agility, and transparency — and we’re building a team that’s ready to help Microsoft chart its next chapter in AI-driven business excellence. As a Software Engineer II at Microsoft, you’ll be part of a team of world-class engineers leveraging cutting-edge Microsoft Cloud and AI technologies to deliver modern, scalable, and intelligent systems that drive the Microsoft business forward.
Job Responsibility:
Assess, recommend, and adopt relevant new technologies, tools, and processes from Microsoft and industry
Support and influence the team culture customer-centricity and continuous improvement
Implement practices that ensure accurate, safe, and efficient releases for our services
Implement and maintain excellent design and development processes
Use AI in your daily coding and advocate to the team and customers an evolving state-of-the-art of how best to do this
Collaborate with others to solve complex problems keeping pace with our global business
Leverage sound engineering practices and principles
Flight code changes, use telemetry and analytics to take a understand customer impact
Provide technical feedback to our product engineering partners to evolve and mature our Azure services and Power Platform
Work with multiple client partner teams to implement cohesive end-to-end experiences
Requirements:
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
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
Experience delivering large-scale, production-quality software systems
Solid software engineering fundamentals, including system design, algorithms, testing, debugging, and code review
Ability to lead technical direction and mentor engineers in a collaborative team environment
Comfort operating in ambiguous, fast-paced environments where best practices are evolving
Hands-on experience with AI-powered developer tools and coding assistants, such as GitHub Copilot (and Copilot Workspace), OpenAI Codex/ChatGPT, Claude Code, or Cursor
Familiarity with agentic AI development patterns, including multi-step reasoning, tool/function calling, retrieval-augmented generation (RAG), and human-in-the-loop workflows
Experience building with large language models (LLMs), prompt engineering, agent frameworks, or orchestration tools (e.g., LangChain, Semantic Kernel, AutoGen, or similar)
Experience working with agentic systems, including plugins, agents, skills, or hooks
Background in developer tooling, build systems, CI/CD pipelines, or large-scale engineering infrastructure
Nice to have:
Background in developer tooling, build systems, CI/CD pipelines, or large-scale engineering infrastructure