Senior Backend Software Engineer, Dataverse
About The Position
The Dataverse Runtime team builds and operates the foundational platform powering Microsoft Power Platform, Dynamics 365, Microsoft Copilot experiences, and AI-powered business applications. Dataverse connects AI systems to enterprise data, business logic, workflows, security boundaries, and operational systems, enabling AI experiences to reason over business data, take secure actions, and orchestrate workflows. The Senior Backend Software Engineer will build the runtime, execution, and extensibility platform for AI-driven workflows at global scale. The role involves developing highly distributed cloud services and addressing complex systems challenges across Dataverse, Power Platform, Dynamics 365, and Microsoft's AI ecosystem. The engineer owns services throughout their engineering lifecycle and contributes to technical direction, service reliability, and team development.
Requirements
- Bachelor's degree in Computer Science or a related technical field and 4+ years of technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
Nice To Haves
- Master's degree in Computer Science or a related technical field and 6+ years of technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python; or a bachelor's degree in a related field and 8+ years of such experience; or equivalent experience.
- Experience developing software using C#, Java, C++, Python, or similar languages.
- Experience driving technical initiatives spanning multiple services, components, or engineering teams.
- Strong problem-solving skills and ability to diagnose and resolve complex production issues.
- Experience with service operations, monitoring, incident response, and operational excellence practices.
- Ability to use modern AI-powered development tools and workflows across design, implementation, testing, debugging, operational investigation, and productivity optimization.
- Interest in continuous learning and adapting to emerging technologies, engineering practices, and AI-enabled development approaches.
- Experience building large-scale SaaS platforms for 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, such as custom agents, skills, automation workflows, or developer productivity tools that improve efficiency and software quality.
- Experience using AI technologies to accelerate incident investigation, root cause analysis, testing, deployment, operational excellence, or software delivery.
- Track record of mentoring engineers and influencing technical decisions across organizational boundaries.
Responsibilities
- Design, build, and operate distributed cloud services that power Dataverse Runtime and support mission-critical customer workloads worldwide.
- Develop platform capabilities that allow AI agents, copilots, and intelligent applications to securely access enterprise data, execute business logic, and automate business processes.
- Improve reliability, scalability, security, performance, and operational excellence across core runtime services.
- Drive technical architecture, design reviews, and engineering decisions across feature areas and partner teams.
- Partner with engineering teams across Power Platform, Dynamics 365, Microsoft 365, Azure, and AI platforms to deliver capabilities for AI-powered experiences.
- Own services through design, implementation, deployment, monitoring, live-site support, and continuous improvement.
- Serve as a Designated Responsible Individual (DRI) for production services, participating in on-call rotations, incident mitigation, root cause analysis, and reliability improvements.
- Use AI-powered engineering tools and workflows to improve development velocity, code quality, operational effectiveness, and productivity.
- Mentor engineers and establish best practices in software engineering, AI-assisted development, operational excellence, and technical leadership.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
