5 days ago
Base Salary
$143k - $304k/yr
Responsibilities
- Lead the design and evolution of Azure Storage capabilities for AI platforms, autonomous agents, and hyperscale cloud services.
- Architect and deliver scalable control-plane and management-plane services for provisioning, managing, and accessing storage resources.
- Drive innovation in distributed systems, intelligent automation, resource orchestration, scalability, reliability, and performance.
- Partner with engineers, architects, product managers, and AI platform teams to define technical strategy and deliver foundational capabilities.
- Implement AI-assisted software engineering practices, including code generation, test creation, debugging, design validation, and operational troubleshooting.
- Help shape AI-enabled engineering, deployment, reliability, and operational workflows across Azure Storage.
- Influence Azure Storage architecture and technical roadmaps for AI training, inference, and agentic workloads.
- Serve as a Designated Responsible Individual for critical service components, owning system health, reliability, performance, and incident response.
Requirements
- Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related technical field and 6+ years of technical engineering experience with coding, or equivalent experience.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Preferred: master's degree with 8+ years of technical engineering experience, or bachelor's degree with 12+ years of technical engineering experience, or equivalent experience.
- Preferred: 7+ years designing and operating hyperscale cloud platforms, storage services, or distributed systems focused on scalability, reliability, and performance.
- Experience building distributed storage systems, databases, or infrastructure services at scale.
- Experience designing platforms or services for AI training, inference, retrieval, reasoning, or agent orchestration workloads.
- Experience applying AI-powered engineering practices, including code-generation tools, agentic workflows, AI-assisted development, automated testing, debugging, and operational troubleshooting.
- Experience building infrastructure for AI workloads, large-scale inference systems, autonomous agents, or data-intensive applications.
- Proven record operating highly available cloud services with stringent reliability requirements.
- Expertise in AI-enabled software engineering, LLM-powered coding assistants, automated code generation, and intelligent operational tooling.
- Proven technical leadership in architecture, strategy, and execution for large-scale cloud services and distributed systems.
Benefits
- U.S. base pay is listed at $142,800-$274,800 per year, with a $188,000-$304,200 range for specified San Francisco Bay Area and New York City metropolitan locations.
- Certain roles may be eligible for benefits and other compensation.
- The position requires passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
- Applications are accepted on an ongoing basis until the position is filled, with the posting open for a minimum of five days.
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.