Commercial Engineering & AI (CEAI) organization is at the forefront of Microsoft’s mission to accelerate AI-driven business value for customers and partners. As a Software Engineer in CEAI, you will join a dynamic team dedicated to building innovative AI solutions that enrich employee experiences, reinvent customer engagement, and reshape business processes. We are looking for a skilled and motivated Software Engineer to join our dynamic team. You will be responsible for designing, developing, and maintaining software applications and systems to support our business goals. You will work in a collaborative, growth-mindset environment, leveraging Microsoft’s cutting-edge AI stack—including Copilot, LLMs, and cloud-native technologies—to deliver scalable, secure, and high-impact products. The ideal candidate will have a strong background in software development, be detail-oriented, and possess excellent problem-solving skills. Our engineers are empowered to experiment, learn, and drive measurable impact across Microsoft’s global commercial ecosystem.
This role sits on the Payout Journal team within the Rewards Core Platform. We build and operate the data platform that processes partner and seller incentive data end to end—ingesting from a broad set of upstream sources, transforming it into standardized business entities, and delivering the trusted, auditable datasets used to calculate and report partner earnings. Because this is financial data, correctness, data quality, timeliness, and a defensible audit trail are core engineering requirements. Our stack spans Scala and Spark on Azure Synapse, C# services and Azure Functions, and Azure Data Explorer (Kusto). You will help improve reliability and performance, expand self-service and governance capabilities, and apply AI-assisted engineering practices to move faster without compromising quality.
At Microsoft, our mission to empower every person and every organization on the planet to achieve more guides how we partner with customers to deliver trusted, impactful solutions. With a growth‑mindset culture, we innovate responsibly and measure success by shared progress, people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.
Responsibilities
- Design, develop, and maintain robust, scalable, and secure software solutions for AI-powered products and services within the Commercial Business.
- Collaborate with cross-functional teams—including product managers, data scientists, data engineers and UX designers—to deliver end-to-end features from concept to production.
- Participate in code reviews, architecture discussions, and contribute to engineering best practices.
- Drive continuous improvement by identifying opportunities to optimize performance, reliability, and developer productivity.
- Write well-documented, high-quality, and maintainable code.
- Ensure solutions adhere to Microsoft’s Responsible AI principles, compliance, and security standards.
- Engage in agile development processes, including sprint planning, backlog grooming, and regular team syncs.
- Contribute to a culture of inclusion, innovation, and technical excellence within the AIT organization.
Qualifications
Basic 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 OR equivalent experience.
Preferred Qualifications
- Proficiency in at least one modern programming language (e.g., Python, Spark, C#, Java, TypeScript).
- Experience building scalable cloud solutions, distributed systems, and large-scale data platforms on Azure.
- Knowledge of AI/ML, LLMs, and Microsoft's AI ecosystem, including Azure AI Foundry, Copilot Studio, and Copilot technologies.
- Familiarity with modern engineering practices, including Git, DevOps, CI/CD, Infrastructure as Code, and AI-assisted development tools such as GitHub Copilot and Claude.
- Understanding of security, compliance, and Responsible AI principles in software development.
- Problem-solving, communication, and collaboration skills with experience working in agile, cross-functional teams.
- Demonstrated ability to learn quickly, drive innovation, and deliver results in fast-paced environments.
Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $85,400 - $168,100 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 $111,100 - $183,700 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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.
Skills Required
- Bachelor's degree in Computer Science or a related technical discipline, or equivalent experience
- Proven coding experience in languages including C, C++, C#, Java, JavaScript, or Python
- Proficiency in at least one modern programming language, such as Python, Spark, C#, Java, or TypeScript
- Experience building scalable cloud solutions, distributed systems, and large-scale data platforms on Azure
- Knowledge of AI/ML, LLMs, Azure AI Foundry, Copilot Studio, and Copilot technologies
- Familiarity with Git, DevOps, CI/CD, Infrastructure as Code, GitHub Copilot, and AI-assisted development tools such as Claude
- Understanding of security, compliance, and Responsible AI principles in software development
- Problem-solving, communication, and collaboration skills in Agile, cross-functional teams
- Ability to learn quickly, drive innovation, and deliver results in fast-paced environments
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
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