Job description

Overview The Dataverse Runtime team builds and operates the foundational platform that powers Microsoft Power Platform, Dynamics 365, Microsoft Copilot experiences, and the next generation of AI-powered business applications. As organizations increasingly rely on AI agents, copilots, and autonomous workflows to transform business processes, Dataverse serves as the trusted platform that connects AI systems to enterprise data, business logic, workflows, security boundaries, and mission-critical operational systems. Our platform enables AI-powered experiences to reason over business data, take actions securely, orchestrate complex workflows, and deliver measurable business outcomes. We are seeking a Senior Software Engineer to help shape the future of intelligent business applications by building the runtime, execution, and extensibility platform that powers AI-driven workflows at global scale. This role offers the opportunity to work on highly distributed cloud services, solve challenging systems problems, and influence foundational investments across Dataverse, Power Platform, Dynamics 365, and Microsoft's AI ecosystem. Microsoft's mission is to empower every person and every organization on the planet to achieve more. We come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Responsibilities • Design, build, and operate distributed cloud services that power Dataverse Runtime and support mission-critical customer workloads around the world. • Develop platform capabilities that enable AI agents, copilots, and intelligent applications to securely access enterprise data, execute business logic, and automate real-world business processes. • Lead the design and implementation of reliability, scalability, security, performance, and operational excellence improvements across core runtime services. • Drive technical architecture, design reviews, and engineering decisions across multiple feature areas and partner teams. • Partner with engineers across Power Platform, Dynamics 365, Microsoft 365, Azure, and AI platform teams to deliver platform capabilities that unlock new AI-powered experiences. • Own services throughout the full engineering lifecycle, including design, implementation, deployment, monitoring, live-site support, and continuous improvement. • Act as a Designated Responsible Individual (DRI) for production services, participating in on-call rotations, incident mitigation, root cause analysis, and long-term reliability improvements. • Leverage AI-powered engineering tools and workflows to improve development velocity, code quality, operational effectiveness, and engineering productivity. • Mentor engineers and help establish best practices for modern software engineering, AI-assisted development, operational excellence, and technical leadership. Qualifications Required Qualifications: • 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. Other Requirements: 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. Preferred Qualifications: • 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 developing software using C#, Java, C++, Python, or similar programming languages. • Experience driving technical initiatives that span multiple services, components, or engineering teams. • Solid problem-solving skills and the ability to diagnose and resolve complex production issues. • Experience with service operations, monitoring, incident response, and operational excellence practices. • Demonstrated ability to effectively leverage modern AI-powered development tools and workflows throughout the software engineering lifecycle, including design, implementation, testing, debugging, operational investigation, and productivity optimization. • Passion for continuous learning and adapting to emerging technologies, engineering practices, and AI-enabled development approaches. • Experience building large-scale SaaS platforms serving enterprise customers. • Experience with Azure services, cloud-native architectures, microservices, distributed messaging systems, storage systems, and large-scale data platforms. • Experience operating highly available production services at scale. • Experience building developer platforms, extensibility frameworks, APIs, workflow engines, or execution runtimes. • Experience designing or developing AI-powered applications, copilots, agents, agent orchestration frameworks, or intelligent workflow systems. • Experience creating AI-enabled engineering solutions, including custom agents, skills, automation workflows, or developer productivity tools that improve engineering efficiency and software quality. • Experience using AI technologies to accelerate incident investigation, root cause analysis, testing, deployment, operational excellence, or software delivery processes. • Track record of mentoring engineers and influencing technical decisions across organizational boundaries. #AGENT365 #CAP Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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

The Dataverse Runtime team builds and operates the foundational platform that powers Microsoft Power Platform, Dynamics 365, Microsoft Copilot experiences, and the next generation of AI-powered business applications.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. We come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
Design, build, and operate distributed cloud services that power Dataverse Runtime and support mission-critical customer workloads around the world.
Develop platform capabilities that enable AI agents, copilots, and intelligent applications to securely access enterprise data, execute business logic, and automate real-world business processes.
Lead the design and implementation of reliability, scalability, security, performance, and operational excellence improvements across core runtime services.
Drive technical architecture, design reviews, and engineering decisions across multiple feature areas and partner teams.
Partner with engineers across Power Platform, Dynamics 365, Microsoft 365, Azure, and AI platform teams to deliver platform capabilities that unlock new AI-powered experiences.
Own services throughout the full engineering lifecycle, including design, implementation, deployment, monitoring, live-site support, and continuous improvement.
Act as a Designated Responsible Individual (DRI) for production services, participating in on-call rotations, incident mitigation, root cause analysis, and long-term reliability improvements.
Leverage AI-powered engineering tools and workflows to improve development velocity, code quality, operational effectiveness, and engineering productivity.
Mentor engineers and help establish best practices for modern software engineering, AI-assisted development, operational excellence, and technical leadership.
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:

Nice-to-haves

OR equivalent experience.
Experience developing software using C#, Java, C++, Python, or similar programming languages.
Experience driving technical initiatives that span multiple services, components, or engineering teams.
Solid problem-solving skills and the ability to diagnose and resolve complex production issues.
Experience with service operations, monitoring, incident response, and operational excellence practices.
Passion for continuous learning and adapting to emerging technologies, engineering practices, and AI-enabled development approaches.
Experience building large-scale SaaS platforms serving enterprise customers.
Experience with Azure services, cloud-native architectures, microservices, distributed messaging systems, storage systems, and large-scale data platforms.
Experience operating highly available production services at scale.
Experience building developer platforms, extensibility frameworks, APIs, workflow engines, or execution runtimes.
Experience designing or developing AI-powered applications, copilots, agents, agent orchestration frameworks, or intelligent workflow systems.
Experience creating AI-enabled engineering solutions, including custom agents, skills, automation workflows, or developer productivity tools that improve engineering efficiency and software quality.

Application prep

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Keywords to mirror

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