Overview
On Site
USD 198,000.00 - 220,000.00 per year
Full Time
Skills
Modeling
Technical Direction
Management
Profit And Loss
Science
Algorithms
Collaboration
Machine Learning (ML)
MVP
Apache Velocity
Mentorship
Pricing
Computer Science
Amazon Web Services
Databricks
Optimization
Real-time
Streaming
Batch Processing
Apache Kafka
Apache Flink
Apache Spark
Database
MySQL
Apache Hive
Redis
Caching
Microservices
Java
Python
Systems Design
Job Details
About the Role
We're looking for a highly skilled Senior Engineer to help design and scale the technical solution behind Uber's real-time dynamic pricing systems, which serve millions of riders and drivers worldwide.
In this role, you'll design, build and optimize large-scale, low-latency systems that power pricing decisions across Uber's marketplace. You'll work on the product iteration with the platform that handles over 1 million QPS, ensuring pricing is accurate, timely, and resilient in the face of real-world volatility. You'll collaborate closely with engineers across platform, ML modeling, and data to implement performant, reliable, and maintainable services.
This is a unique opportunity to tackle technically challenging problems at the intersection of real-time distributed systems, optimization, and ML, while contributing directly to Uber's core platform efficiency and driver earnings.
Why This Role Matters
You'll be working on the platform 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:
1. Solve unique technical challenges at the intersection of real-time optimization and distributed systems
2. Work with cutting-edge pricing algorithms and ML systems that operate at unprecedented scale
3. Shape the technical direction of critical business with direct P&L impact
What the Candidate Will Do ----
1. Partner with Marketplace Product and science teams to build a unified solution for pricing algorithms iterations and marketplace optimization.
2. Collaborate with ML Engineering teams to build the MVP business product and scale model inference and real-time feature serving for pricing decisions
3. Partner with Platform Engineering teams to ensure 99.99% availability for critical pricing systems, and contribute to multi-quarter 'Pricing as a Platform' initiatives to enhance marketplace efficiency, pricing reliability, and developer velocity.
4. Mentor junior engineers and contribute to raising the technical bar across your immediate team and adjacent pricing teams.
\\-\\-\\-\\- Basic Qualifications ----
Exceptional Technical Background
1. Computer Science degree or equivalent technical education
2. 4+ years of industry experience with demonstrated exceptional technical impact.
3. Background at leading technology companies known for world-class infrastructure ( Meta, Amazon, Databricks, TikTok, Google, Netflix, Airbnb, or similar scale)
Deep Technical Expertise
1. Expert-level experience with large-scale distributed systems, handling millions of QPS or experience on optimization and simulation.
2. Proficiency in real-time streaming or batch processing (e.g., Kafka, Flink, Spark) and low-latency data systems.
3. Advanced knowledge of database technologies (e.g., MySQL, Hive, Redis) and caching strategies.
4. Experience with microservices architecture, service mesh, and observability at scale
5. Exceptional coding skills in Go, Java and python, with experience in high-performance system design.
\\-\\-\\-\\- Preferred Qualifications ----
1. Strong background in real-time system, math, optimization and simulation.
2. Worked on real-time infrastructure serving 100M+ users, or 1M+ QPS, achieved 10x+ performance improvements, and breakthrough technical innovations
3. Fundamental machine learning knowledge
4. Track record of operational excellence: incident management, SLA optimization, and system reliability
For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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 [](;br>
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity 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](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
We're looking for a highly skilled Senior Engineer to help design and scale the technical solution behind Uber's real-time dynamic pricing systems, which serve millions of riders and drivers worldwide.
In this role, you'll design, build and optimize large-scale, low-latency systems that power pricing decisions across Uber's marketplace. You'll work on the product iteration with the platform that handles over 1 million QPS, ensuring pricing is accurate, timely, and resilient in the face of real-world volatility. You'll collaborate closely with engineers across platform, ML modeling, and data to implement performant, reliable, and maintainable services.
This is a unique opportunity to tackle technically challenging problems at the intersection of real-time distributed systems, optimization, and ML, while contributing directly to Uber's core platform efficiency and driver earnings.
Why This Role Matters
You'll be working on the platform 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:
1. Solve unique technical challenges at the intersection of real-time optimization and distributed systems
2. Work with cutting-edge pricing algorithms and ML systems that operate at unprecedented scale
3. Shape the technical direction of critical business with direct P&L impact
What the Candidate Will Do ----
1. Partner with Marketplace Product and science teams to build a unified solution for pricing algorithms iterations and marketplace optimization.
2. Collaborate with ML Engineering teams to build the MVP business product and scale model inference and real-time feature serving for pricing decisions
3. Partner with Platform Engineering teams to ensure 99.99% availability for critical pricing systems, and contribute to multi-quarter 'Pricing as a Platform' initiatives to enhance marketplace efficiency, pricing reliability, and developer velocity.
4. Mentor junior engineers and contribute to raising the technical bar across your immediate team and adjacent pricing teams.
\\-\\-\\-\\- Basic Qualifications ----
Exceptional Technical Background
1. Computer Science degree or equivalent technical education
2. 4+ years of industry experience with demonstrated exceptional technical impact.
3. Background at leading technology companies known for world-class infrastructure ( Meta, Amazon, Databricks, TikTok, Google, Netflix, Airbnb, or similar scale)
Deep Technical Expertise
1. Expert-level experience with large-scale distributed systems, handling millions of QPS or experience on optimization and simulation.
2. Proficiency in real-time streaming or batch processing (e.g., Kafka, Flink, Spark) and low-latency data systems.
3. Advanced knowledge of database technologies (e.g., MySQL, Hive, Redis) and caching strategies.
4. Experience with microservices architecture, service mesh, and observability at scale
5. Exceptional coding skills in Go, Java and python, with experience in high-performance system design.
\\-\\-\\-\\- Preferred Qualifications ----
1. Strong background in real-time system, math, optimization and simulation.
2. Worked on real-time infrastructure serving 100M+ users, or 1M+ QPS, achieved 10x+ performance improvements, and breakthrough technical innovations
3. Fundamental machine learning knowledge
4. Track record of operational excellence: incident management, SLA optimization, and system reliability
For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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 [](;br>
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity 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](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.