Uber
Staff Software Engineer / Tech Lead - Real-time Intelligence Supply Pricing
Uber, Seattle, Washington, us, 98127
Overview
We are 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 requires a proven track record of extraordinary technical leadership and innovative solutions at world-class technology companies (leading unicorns, FAANG, or equivalent). You will 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. Responsibilities
Architect and scale real-time pricing infrastructure capable of handling 1M+ queries per second (QPS). Shape the technical direction for pricing platform infrastructure and ensure reliability, performance, and scalability. Collaborate with cross-functional teams to deliver end-to-end pricing solutions for a global marketplace. Qualifications
Basic Qualifications
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, driving complex, multi-quarter technical initiatives from conception to delivery. Experience managing technical relationships across multiple engineering teams and organizations. Proven track record of mentoring senior engineers and shaping engineering culture. 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. Compensation & Locations
Base pay range: USD$223,000 per year – USD$248,000 per year. Locations include New York, NY; San Francisco, CA; Seattle, WA; Sunnyvale, CA; with eligibility for Uber's bonus program, equity awards, and additional benefits. See https://www.uber.com/careers/benefits for details. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Internet Marketplace Platforms
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We are 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 requires a proven track record of extraordinary technical leadership and innovative solutions at world-class technology companies (leading unicorns, FAANG, or equivalent). You will 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. Responsibilities
Architect and scale real-time pricing infrastructure capable of handling 1M+ queries per second (QPS). Shape the technical direction for pricing platform infrastructure and ensure reliability, performance, and scalability. Collaborate with cross-functional teams to deliver end-to-end pricing solutions for a global marketplace. Qualifications
Basic Qualifications
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, driving complex, multi-quarter technical initiatives from conception to delivery. Experience managing technical relationships across multiple engineering teams and organizations. Proven track record of mentoring senior engineers and shaping engineering culture. 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. Compensation & Locations
Base pay range: USD$223,000 per year – USD$248,000 per year. Locations include New York, NY; San Francisco, CA; Seattle, WA; Sunnyvale, CA; with eligibility for Uber's bonus program, equity awards, and additional benefits. See https://www.uber.com/careers/benefits for details. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Internet Marketplace Platforms
#J-18808-Ljbffr