21 hours ago
Base Salary
$120k - $261k/yr
Responsibilities
- Design, build, and operate distributed cloud services supporting mission-critical Dataverse Runtime workloads.
- Develop platform capabilities that allow 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 multiple feature areas and partner teams.
- Own services across design, implementation, deployment, monitoring, live-site support, and continuous improvement.
- Serve as a Designated Responsible Individual through on-call rotations, incident mitigation, root cause analysis, and reliability improvements.
- 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, operational excellence, and technical leadership practices.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and 4+ years of technical engineering experience with coding; equivalent experience is accepted.
- 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.
- Experience with C#, Java, C++, Python, or similar programming languages.
- Experience driving technical initiatives across multiple services, components, or engineering teams.
- Experience diagnosing and resolving complex production issues, operating services, monitoring, incident response, and operational excellence.
- Experience using AI-powered development tools and workflows across design, implementation, testing, debugging, operations, and productivity optimization.
- Experience building large-scale SaaS platforms, cloud-native architectures, distributed messaging systems, storage systems, and large-scale data platforms.
- Experience with Azure services, highly available production services, developer platforms, extensibility frameworks, APIs, workflow engines, or execution runtimes.
- Experience designing or developing AI-powered applications, copilots, agents, orchestration frameworks, or intelligent workflow systems.
- Experience creating AI-enabled engineering solutions and using AI technologies for incident investigation, root cause analysis, testing, deployment, and 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.
Benefits
- The typical U.S. base pay range is USD $119,800–$234,700 per year, with a separate San Francisco Bay Area and New York City metropolitan area range of USD $160,200–$261,000 per year.
- Certain roles may be eligible for benefits and other compensation.
- The position will remain open for at least five days and accepts applications on an ongoing basis until filled.
About Microsoft
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.