Software Engineer

Commercial Engineering & AI (CEAI) partners closely withstakeholdersto accelerate the transformation of Microsoft's commercial business into a frontier organization. We bring togetherAInativeengineering, modern platforms, and deep commercial insight to reimagine how work gets done - at scale and with impact. Our mission is to unlock new ways of operating through intelligent systems while creating the conditions for our teams to do the most meaningful work of their careers.

As aSoftware Engineerin Marketing Growth Engineering team, you will play a pivotal role in optimizing and transforming internal marketing operations at Microsoft. In this position, you will develop large-scale solutions focused on streamlining marketing content and sites. You will directly impact the effectiveness of marketing initiatives by leveraging advanced AI technologies to simplify and automate the content generation, enabling marketers to become more efficient.

Your efforts will help modernize the way marketing teamsoperate, reducing manual effort while improving agility and alignment to businessobjectives. If you are passionate about building scalabledistributedsolutions that redefine how marketing teams achieve success and are eager to work at the forefront of AI in enterprise applications, we invite you to be part of our journey.

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. This mission guides us in how we partner with our customers to deliver trusted and impactful solutions. With agrowthmindsetculture, 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 shapewhat'snext for everyone

• Design and build automation for marketingcontentand sites, collaborating with stakeholders to understand requirements and deliver impactful solutions.

• Review and implement well-structured, testable, and maintainable code for product features, contributing to a high standard of engineering excellence and quality.

• Leverage AI Native engineering practices across the development lifecycle, to experiment, andutilizetelemetry, and feedback tooptimizesystem performance and user outcomes.

• Implement best practices for security, reliability, and compliance, ensuring robust deployment pipelines and monitoring for marketing applications.

• Contribute to raising awareness and understanding of engineering principles (e.g., security, testability, scalability, accessibility) within the team and across related functions.

Required/minimum qualifications