Senior Software Engineer - Finance Data & Experiences

Microsoft•Redmond, WA

3d•$119,800 - $234,700

About The Position

The Finance Data & Experiences (FD&E) organization is on a mission to redefine how Microsoft measures, monitors, and optimizes its global business. 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.

Requirements

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.

Nice To Haves

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 designing and building distributed systems or data platforms, using modern programming languages (e.g., Python, C#, SQL) and cloud-based data across major cloud platforms.
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.

Responsibilities

Design, develop and own scalable, distributed systems and data-powered solutions, leveraging modern cloud platforms and AI capabilities to address complex business scenarios.
Lead architecture discussions and design decisions, validating hypotheses and ensuring solutions meet requirements for performance, reliability, security, and scalability.
Build and maintain high-quality, extensible, and secure code, applying engineering best practices across the software development lifecycle.
Collaborates across teams to identify dependencies, ensuring AI-enabled solutions work end to end with optimal performance, reliability, and security throughout the system stack.
Drive automation of development, testing, and deployment processes, improving efficiency, reliability, and operational excellence.
Implement and uphold security, compliance, and AI safety standards, including defining telemetry, monitoring, and safeguards for production systems.
Leverage and promote AI-enabled development practices, continuously improving engineering productivity and mentoring peers in adopting modern tools and approaches.