2 days ago
Base Salary
$143k - $304k/yr
Responsibilities
- Lead the architecture, design, implementation, and delivery of large-scale cloud services and AI-powered products.
- Design and build secure, permission-aware retrieval and knowledge systems integrated with enterprise identity, authentication, and authorization platforms.
- Drive scalability, reliability, performance, telemetry, monitoring, diagnostics, automation, and operational excellence across globally distributed cloud infrastructure.
- Partner with stakeholders, customers, product managers, applied scientists, architects, and cross-functional teams to define requirements, metrics, and technical strategy.
- Mentor engineers through technical leadership, code reviews, and engineering best practices.
- Lead project planning, experimentation, deployment strategies, safe releases, and technical tradeoff evaluation.
- Own live-site operations, incident response, root cause analysis, and operational playbooks.
- Analyze production telemetry, customer feedback, and usage patterns to improve performance, quality, reliability, and cost efficiency.
- Contribute to foundational services powering Microsoft Foundry, AI agents, enterprise knowledge experiences, and next-generation retrieval platforms.
- Drive cross-team collaboration and maintain compliance with security, privacy, accessibility, and regulatory requirements.
Requirements
- Bachelor’s degree in computer science or a related technical field and 6+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Ability to meet Microsoft, customer, and government security screening requirements, including the Microsoft Cloud Background Check.
- Experience designing and building large-scale distributed systems in cloud environments is preferred.
- Strong software engineering skills in C#, Java, C++, Rust, or a comparable language are preferred.
- Experience developing highly available services focused on reliability, performance, and maintainability is preferred.
- Knowledge of cloud-native architectures, storage systems, networking, and service operations is preferred.
- Experience with search technologies, information retrieval, ranking systems, vector databases, or recommendation systems is preferred.
- Experience with AI/ML systems, LLMs, retrieval-augmented generation, agent frameworks, or knowledge management platforms is preferred.
- Familiarity with Azure services, distributed data systems, and large-scale processing pipelines is preferred.
- Experience building developer platforms, APIs, or enterprise SaaS products is preferred.
- Strong problem-solving, collaboration, and communication skills are preferred.
Benefits
- The typical U.S. base pay range is USD $142,800–$274,800 per year, with a separate San Francisco Bay Area and New York City metropolitan area range of USD $188,000–$304,200 per year.
- Certain roles may be eligible for benefits and other compensation.
- The position will remain open for at least 5 days and applications are accepted 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.