1 day ago
Base Salary
$120k - $261k/yr
Responsibilities
- Design, build, and operate distributed cloud services powering Dataverse Runtime and global customer workloads.
- Develop platform capabilities that enable AI agents, copilots, and intelligent applications to securely access enterprise data, execute business logic, and automate workflows.
- Drive reliability, scalability, security, performance, and operational excellence improvements across core runtime services.
- Lead technical architecture, design reviews, and engineering decisions across feature areas and partner teams.
- Own services through design, implementation, deployment, monitoring, live-site support, and continuous improvement.
- Serve as a Designated Responsible Individual for production services, including on-call rotations, incident mitigation, root cause analysis, and reliability work.
- Use AI-powered engineering tools and workflows to improve development velocity, code quality, operations, and productivity.
- Mentor engineers and establish modern software engineering, AI-assisted development, and operational best practices.
Requirements
- Bachelor’s degree in computer science or a related technical field and 4+ years of technical engineering experience with coding, or equivalent experience.
- Experience developing software with C#, Java, C++, Python, or similar programming languages.
- Experience driving technical initiatives across multiple services, components, or engineering teams.
- Strong problem-solving skills and experience diagnosing and resolving complex production issues.
- Experience with service operations, monitoring, incident response, and operational excellence.
- Experience using AI-powered development tools across design, implementation, testing, debugging, operations, and productivity workflows.
- Experience building large-scale SaaS platforms for enterprise customers.
- Experience with Azure services, cloud-native architectures, 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.
- Experience using AI technologies for incident investigation, root cause analysis, testing, deployment, operational excellence, or software delivery.
- Track record of mentoring engineers and influencing technical decisions across organizational boundaries.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud background check.
- Preferred qualifications include a master’s degree with 6+ years of experience or a bachelor’s degree with 8+ years of experience, or equivalent experience.
Benefits
- Base pay is listed for U.S. locations, with a separate range for the San Francisco Bay Area and New York City metropolitan area.
- Certain roles may be eligible for benefits and other compensation.
- The position is open for at least five days and accepts applications on an ongoing basis until filled.
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.