5 days ago
Redmond, WA, USAMid Level
H1B sponsor
Base Salary
$102k - $219k/yr
Responsibilities
- Lead architecture discussions and design scalable AI-native, agentic, and distributed platform components.
- Write, review, debug, optimize, and maintain performant production code across platform and runtime components.
- Build capabilities that enable AI agents to reason, plan, orchestrate, and execute tasks across customer workflows.
- Plan, experiment, validate, and safely deploy platform changes across globally distributed environments.
- Improve the performance, reliability, scalability, and live-site health of mission-critical cloud services.
- Develop incident response playbooks, lead root cause analyses, and implement systemic reliability improvements.
- Build developer tools and automation that improve engineering velocity and AI-augmented development workflows.
- Influence product roadmaps and technical strategy using customer feedback, telemetry, business goals, and emerging AI technologies.
- Collaborate across Core AI, engineering, and product teams on distributed systems, AI orchestration, and cloud platform capabilities.
- Design reusable services for distributed systems, event-driven architectures, stateful runtimes, workflow automation, enterprise integration, and AI orchestration.
Requirements
- Bachelor’s degree in computer science or a related technical field and 2+ years of technical engineering experience with coding, or equivalent experience.
- Coding experience in languages including C, C++, C#, Java, JavaScript, or Python.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
- Preferred: 4+ years of technical engineering experience with coding.
- Preferred: 4+ years designing, building, and operating production-grade software and services at scale.
- Preferred: experience with cloud-scale distributed systems, workflow engines, platform services, or event-driven architectures.
- Preferred: understanding of Azure, AWS, or GCP.
- Preferred: experience with AI/LLM systems, agent frameworks, reasoning or orchestration systems, or integrating AI capabilities into production services.
- Preferred: hands-on experience using GitHub Copilot or similar AI-enhanced development tools.
- Preferred: ability to explain complex technical concepts and collaborate across engineering and product organizations.
Benefits
- The typical U.S. base pay range is USD $102,100–$202,200 per year, with a different 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 a minimum of five days and accepts applications on an ongoing basis until filled.
Tech Stack
Categories
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.