Owns core architectural and technical evolution of the high-throughput real-time bidding platform, focusing on modernization, performance, scalability, experimentation infrastructure, and operational excellence.
Locations (3)
Redmond, Washington, United States
San Francisco, California, United States
New York City, New York, United States
Compensation
The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Own technical direction and execution for core components, a high-scale, latency-sensitive real-time bidding service at the heart of Microsoft Microsoft Ads.
Lead design and implementation of scalable, high-performance backend systems operating under strict latency and reliability requirements.
Drive platform modernization and long-term sustainability of critical services, improving code quality, maintainability, and operational safety.
Ensure performance, scalability, and stability of the service as traffic, data volume, and business requirements continue to grow.
Define and evolve instrumentation, observability, and experimentation capabilities to support data-driven decision making and safe production changes.
Requirements
Bachelor's Degree in Computer Science or related technical field
Nice to have: high-throughput production systems
Nice to have: performance and system optimization/tuning
Lead and build core database server and client extension logic for a cloud-hosted version of DuckDB, driving performance, distributed execution, and user experience.
Compensation
competitive salary and stock options
Responsibilities
Own major projects in dual execution stack
Help build a cloud platform for dynamic resource assignment
Lead cross-functional work with frontend, platform, and infrastructure teams
Push the state of the art in embedded database performance
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