Senior Software Engineer - Finance Data & Experiences

Overview

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 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 smart 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, you will independently leverage artificial intelligence tools and practices throughout the software development lifecycle to deliver high-quality solutions. You will understand customer and user requirements for specific projects or product subsections and lead architecture discussions by testing design hypotheses and developing complex, scalable, secure design specifications. You will create and execute comprehensive test strategies that ensure solution quality and security, drive automation in production deployments, and collaborate across internal and external teams to manage dependencies and achieve shared goals. By writing extensible, maintainable, well-tested, secure, and performant code, you will uphold Microsoft's standards of security and compliance. Additionally, you will champion AI-native development by responsibly using AI across the SDLC, continuously improving processes through experimentation, and coaching others in these practices.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Develops and owns comprehensive test strategies that ensure solution quality, incorporating AI tools for test automation and security testing to prevent regressions and vulnerabilities.
• Leads architecture discussions and designs complex, AI-integrated solutions by validating design hypotheses, creating detailed specifications, and ensuring scalability, security, and compliance.
• Collaborates across teams to identify dependencies, ensuring AI-enabled solutions work end to end with optimal performance, reliability, and security throughout the system stack.
• Builds and maintains extensible, maintainable, well-tested, and secure AI-driven code, continuously improving quality, performance, and security with AI-enhanced debugging and development practices.
• Drives automation across production and deployment, targeting zero-touch processes and integrating AI capabilities to improve efficiency, deployment safety, and monitoring.
• Implements AI safety features and security principles, working with security partners to define and enforce security invariants, threat models, and telemetry for AI production systems.
• Uses AI tools responsibly throughout the software development lifecycle to improve engineering processes and practices, promote AI-native development, and mentor peers on responsible AI usage.

Qualifications

Required 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.

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.
• Experience developing and implementing AI-enabled solutions using tools such as Azure OpenAI, Cognitive Services, and machine learning models, including integrating these capabilities into programs to enhance system intelligence and productivity.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.