Uber
Tech Lead / Staff Software Engineer - Real-time Intelligence Supply Pricing
Uber, Seattle, Washington, us, 98127
Tech Lead / Staff Software Engineer – Real-time Intelligence Supply Pricing
Join us at Uber to apply for the Tech Lead / Staff Software Engineer – Real-time Intelligence Supply Pricing 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). Why This Role Matters
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. What You Will Do
Technical Leadership & Architecture
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. Cross‑Functional Impact
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. Engineering Excellence & Leadership
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. 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, 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. Salary & Benefits
For San Francisco, CA; Seattle, WA; and Sunnyvale, CA-based roles, the base salary range is USD$223,000 per year – USD$248,000 per year. All U.S. locations are eligible for Uber’s bonus program, equity awards, and other compensation. You will also be eligible for various benefits. More details can be found at https://www.uber.com/careers/benefits. Seniority Level
Mid‑Senior level Employment Type
Full‑time Job Function
Information Technology Industries
Internet Marketplace Platforms Referrals
Referrals increase your chances of interviewing at Uber by 2x.
#J-18808-Ljbffr
Join us at Uber to apply for the Tech Lead / Staff Software Engineer – Real-time Intelligence Supply Pricing 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). Why This Role Matters
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. What You Will Do
Technical Leadership & Architecture
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. Cross‑Functional Impact
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. Engineering Excellence & Leadership
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. 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, 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. Salary & Benefits
For San Francisco, CA; Seattle, WA; and Sunnyvale, CA-based roles, the base salary range is USD$223,000 per year – USD$248,000 per year. All U.S. locations are eligible for Uber’s bonus program, equity awards, and other compensation. You will also be eligible for various benefits. More details can be found at https://www.uber.com/careers/benefits. Seniority Level
Mid‑Senior level Employment Type
Full‑time Job Function
Information Technology Industries
Internet Marketplace Platforms Referrals
Referrals increase your chances of interviewing at Uber by 2x.
#J-18808-Ljbffr