Uber-posted 22 days ago
$223,000 - $248,000/Yr
Full-time • Senior
Seattle, WA
5,001-10,000 employees
Transit and Ground Passenger Transportation

About the Role # Role Overview 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. # Why This Role Matters You'll be working on infrastructure that directly affects millions of drivers' livelihoods and riders' experiences every day. Our pricing systems process billions of real-time decisions, balancing marketplace efficiency, driver earnings, and rider satisfaction. You'll have the opportunity to: Solve unique technical challenges at the intersection of real-time optimization and distributed systems Build infrastructure that powers one of the world's largest marketplace platforms Work with cutting-edge pricing algorithms and ML systems that operate at unprecedented scale Shape the technical direction of critical business infrastructure with direct P&L impact

  • Lead the design and execution of multi-quarter 'Pricing as a Platform' initiatives to enhance marketplace efficiency, pricing reliability, and developer velocity.
  • Architect real-time pricing and optimization systems that balance supply/demand across global markets
  • Drive technical strategy for pricing platform infrastructure, including ML model serving, experimentation frameworks, and real-time decision engines
  • Partner with Marketplace, Data Science, and Product teams to build a unified infrastructure supporting pricing algorithms and marketplace optimization
  • Collaborate with ML Engineering teams to scale model inference and real-time feature serving for pricing decisions.
  • Partner with Platform Engineering teams to ensure 99.99% availability for critical pricing systems
  • Mentor senior engineers and grow technical leadership capability across the marketplace organization
  • Establish engineering standards, team processes, architectural patterns, and operational excellence practices
  • Drive innovation in distributed systems design, focusing on low-latency, high-throughput pricing infrastructure
  • 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)
  • 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
  • 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
  • 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
  • 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]
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