Overview
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. 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, incide
Full job description
Full Job Description
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. 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. 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 These requirements include but are not limited to the following specialized security screenings: 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.
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