Job description

Overview Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the transformation of Microsoft’s commercial business into a frontier organization. We bring together AI ‑ native engineering, 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. If you’re excited to build, experiment, and shape the future of commercial execution with AI at the core, we invite you to apply. Support Experience Group (SxG) within Commercial Engineering and AI (CEAI) is at the forefront of transforming Microsoft’s support ecosystem through AI-first innovation. Our mission is to build intelligent, scalable platforms that power partner and customer success, accelerating Microsoft’s commercial growth through modern, AI-driven experiences. We are looking for a Software Engineer who combines strong technical fundamentals with a bias for action. We value engineers who move quickly from ideas to execution, take ownership of outcomes, and are energized by solving problems. If you thrive in fast-moving environments, embrace experimentation, learn rapidly from data and customer feedback, and are motivated by shipping impactful solutions, we'd love to hear from you. Responsibilities • Design, develop, test, deploy, and operate cloud-native services and applications at scale. • Implement features and platform capabilities that leverage AI, automation, and agentic workflows using frameworks like Azure AI foundry, Microsoft Copilot studio or equivalent. • Drive end-to-end delivery of projects spanning multiple services and components. • Build high-quality, maintainable, and observable software with strong emphasis on reliability, security, privacy, and operational excellence. • Analyse production telemetry and customer feedback to identify opportunities for continuous improvement. • Participate in live-site support, incident response, root-cause analysis, and service health improvements. • Contribute to AI-native engineering practices, including the use of AI-assisted development, testing, documentation, and operational workflows. Qualifications Basic / 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 OR equivalent experience. Preferred Qualifications: • Experience working with Azure or other cloud platforms. • Experience building AI-powered applications, copilots, agents, or intelligent automation solutions. • Experience with Azure AI, Azure OpenAI, Microsoft Copilot Studio, Dynamics 365, Dataverse, or related Microsoft cloud technologies. • Experience with telemetry, observability, incident management, and service reliability engineering. • Experience working in highly collaborative cross-functional environments. • Passion for improving customer experiences through data-driven engineering and AI innovation. Other Qualifications • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check. This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. 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: careers.microsoft.com 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.

Requirements

Must-haves

If you thrive in fast-moving environments, embrace experimentation, learn rapidly from data and customer feedback, and are motivated by shipping impactful solutions, we'd love to hear from you.
Design, develop, test, deploy, and operate cloud-native services and applications at scale.
Implement features and platform capabilities that leverage AI, automation, and agentic workflows using frameworks like Azure AI foundry, Microsoft Copilot studio or equivalent.
Drive end-to-end delivery of projects spanning multiple services and components.
Build high-quality, maintainable, and observable software with strong emphasis on reliability, security, privacy, and operational excellence.
Analyse production telemetry and customer feedback to identify opportunities for continuous improvement.
Participate in live-site support, incident response, root-cause analysis, and service health improvements.
Contribute to AI-native engineering practices, including the use of AI-assisted development, testing, documentation, and operational workflows.
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.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Nice-to-haves

Experience working with Azure or other cloud platforms.
Experience building AI-powered applications, copilots, agents, or intelligent automation solutions.
Experience with Azure AI, Azure OpenAI, Microsoft Copilot Studio, Dynamics 365, Dataverse, or related Microsoft cloud technologies.
Experience with telemetry, observability, incident management, and service reliability engineering.
Experience working in highly collaborative cross-functional environments.
Passion for improving customer experiences through data-driven engineering and AI innovation.
Other Qualifications
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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