Software Engineer II

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. 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. In these roles, you will also leverage data engineering capabilities. 

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 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Programming skills in one or more languages: C#, Java, Python, JavaScript, C++.
• 2+ years of experience with any of the following: SQL Server, Synapse, Azure Data Lake, Azure Data Factory, Databricks or similar technologies.
• 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 2+ 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 4+ 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 and CI/CD practices. 
• Cloud Native Architecture, with solid understanding of cost management, Scalability and observability. 
• Curiosity, collaboration mindset, and a passion for solving real-world customer problems. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

• 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. 
• 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.
• Additional areas may include:
  • ETL Pipelines: building and managing ETL (Extract, Transform, Load) pipelines.
  • Data Visualization: Represent key data insights visually to provide meaningful information to end-users.