Software Engineer: Full-stack

Overview

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 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 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 buiding a team that’s ready to help Microsoft chart its next chapter in AI-driven business excellence.

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.

Qualifications

Required Qualifications:

Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

o OR equivalent experience

Business fluency in English (read, write, speak).

Preferred Qualifications:

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 a strong understanding of cost management, Scalability and observability.

Hands-on experience with Selenium or any automation tools and SQL.

Curiosity, collaboration mindset, and a passion for solving real-world customer problems.

#EiP

Responsibilities

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, customer obsession, and continuous learning.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect