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Software Engineer II - Finance Data & Experiences

Microsoft
United Statesfull_timeVerifiedPosted 5 Sept 2025
💰 $215,400/yr($100,600/yr$215,400/yr)

About the role

Ready to shape the future of how Microsoft operates its ~$250B+ business portfolio? 

 
Are you passionate about AI, data, and transformative user experiences? Do you bring energy, curiosity, and a deep 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.  

 

Responsibilities

As a Software Engineer 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.  

 

This is a unique opportunity to kickstart and grow your career with deep hands-on exposure to Microsoft technologies, while developing your software engineering skills in an inclusive, growth-oriented environment.  

   

  • Design, develop, deploy, and operate scalable cloud-based data, analytics, automation and tooling solutions using modern data platforms and Cloud services.  
  • Integrate AI capabilities such as Azure OpenAI, Cognitive Services, and ML models to enhance system intelligence and user productivity.  
  • Apply engineering best practices as you design and deliver high-quality, scalable solutions. Own your solution end-to-end through design, implementation, and operations.  
  • Implement robust monitoring, logging and alerting for proactive issue detection. Leverage telemetry and usage analytics to understand customer behavior and inform product decisions.  
  • Collaborate cross-functionally across stakeholders, product managers, and other engineers to deliver integrated, customer-focused experiences.  
  • Contribute to the evolution of Microsoft’s data platforms through technical feedback and innovation.  
  • Champion a culture of diversity, inclusion, 

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Company

Microsoft

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