Senior Software Engineer

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Ready to shape the future of how Microsoft operates its ~$250B+ business portfolio? Are you passionate about AI (artificial intelligence), data, and transformative user experiences? Do you bring energy, curiosity, and a spirited 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. You 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 is 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 Senior 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 kick-start and grow your career with deep hands-on exposure to Microsoft technologies, while developing your software engineering skills in an inclusive, growth-oriented environment.

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
    
• 4+ years of programming skills in one or more languages: C#, Java, Python, JavaScript, C++.
• Business level fluency to read, write and speak English and Spanish.

Additional or Preferred Qualifications

• Master's Degree in Computer Science or related technical field AND 6+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
    
• Exposure to Microsoft Azure or other cloud platforms (GCP, AWS).
• Familiarity with AI/ML fundamentals, tools (like Azure ML, OpenAI), or data analytics workflows.
• Understanding of version control systems (e.g., Git) and DevOps practices.
• Curiosity, collaboration mindset, and a passion for solving real-world customer problems.
• Demonstrated ability to lead through influence—coaching, mentoring, and empowering team members without direct reporting lines.

• 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 (machine learning) models to enhance system intelligence and user productivity.
• Serve as a technical mentor and thought leader for a group of engineers, providing guidance, support, and regular feedback to accelerate their growth and technical development.
• Apply engineering top industry 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.
• Embody and champion our Culture and Values and continuous learning.