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Uber

Staff Software Engineer / Tech Lead - Real-time Intelligence Supply Pricing

Uber, Seattle, Washington, us, 98127

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About the Role We're seeking an exceptional Staff Engineer to lead the technical infrastructure powering Uber's dynamic pricing systems that serve millions of drivers and riders globally. This role demands a proven track record of extraordinary technical leadership and innovative solutions at world-class technology companies (leading unicorns, FAANG, or equivalent). You'll architect and scale real-time pricing infrastructure handling 1M+ QPS, directly impacting marketplace efficiency and driver earnings. This is a unique opportunity to solve complex technical challenges at the intersection of real-time optimization, distributed systems, and marketplace dynamics while building the next generation of pricing platform infrastructure. ---- Basic Qualifications ---- Exceptional Technical Background Computer Science degree or equivalent technical education

8+ years of industry experience with demonstrated exceptional technical leadership

Proven track record of extraordinary impact

: Led real-time infrastructure serving 100M+ users, or 1M+ QPS, achieved 10x+ performance improvements, and drove breakthrough technical innovations

Background at leading technology companies known for world-class infrastructure ( Meta, Amazon, Databricks, TikTok, Google, Netflix, Airbnb, or similar scale)

Deep Technical Expertise Expert-level experience with large-scale distributed systems, handling millions of QPS

Proficiency in real-time streaming and batch processing (e.g., Kafka, Flink, Spark) and low-latency data systems

Advanced knowledge of database technologies (e.g., MySQL, Hive, Redis) and caching strategies

Experience with microservices architecture, service mesh, and observability at scale

Exceptional coding skills in Go and Java, with experience in high-performance system design

Leadership & Execution Demonstrated ability to lead cross-functional teams, drive complex, multi-quarter technical initiatives from conception to delivery

Experience managing technical relationships across multiple engineering teams and organizations

Proven track record of driving engineering culture and mentoring senior engineers

---- Preferred Qualifications ---- Background in real-time pricing, optimization, platformization (e.g., experimentation platforms), or ML infrastructure

Experience managing people and open to pursuing the management track in the future.

Open-source contributions or technical thought leadership in distributed systems

Experience with cloud infrastructure (e.g., OCI) and infrastructure-as-code

Track record of operational excellence: incident management, SLA optimization, and system reliability

For New York, NY-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits. Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform

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