- BASIC QUALIFICATIONS -

• 4+ years of experience as a Software Engineer, preferably working on large-scale distributed systems.
• Strong proficiency in Java, Go, Python, or similar backend programming languages.
• Solid understanding of distributed system architecture, including microservices, concurrency, and fault tolerance.
• Experience with real-time data processing and high-throughput systems.
• Familiarity with relational and NoSQL databases.Demonstrated ability to design and implement features independently.

- PREFERRED QUALIFICATIONS -

• Experience with marketplace platforms.
• Exposure to machine learning systems in production.Understanding of pricing models, matching algorithms, or optimization problems.
• 
  For Canada-based roles: The base salary range for this role is CAD$136,000 per year - CAD$151,000 per year. 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

The Marketplace Segmentation team is at the forefront of optimizing Uber’s core rides business by strategically differentiating product offerings to cater to diverse rider needs and market conditions. We build and maintain critical products like UberX Priority and Wait & Save . Our work also extends to strategic initiatives such as building a tiered portfolio and expanding Uber’s global footprint. We leverage advanced matching algorithms, dynamic pricing, and machine learning to balance marketplace supply and demand, enhance rider experience, and drive incremental growth.- What the Candidate Will Do -

• Own the end-to-end development of features and small projects for X+, Wait & Save, Basic Economy, or Sparse Market initiatives. This includes design, implementation, testing, and deployment.
• Design and build robust, scalable, and high-performance components for core marketplace systems, such as matching levers (e.g., scan interval, OF tuning), dynamic pricing mechanisms (e.g., rider discounts, driver premiums), or user experience flows.
• Debug and troubleshoot complex production issues across distributed systems, identifying root causes and implementing effective solutions to maintain marketplace stability and reliability.
• Collaborate closely with Product Managers and Applied Scientists to translate product requirements and analytical insights into technical designs and solutions.
• Conduct thorough code reviews, providing constructive feedback and ensuring adherence to engineering best practices.
• Contribute to the team’s on-call rotation and proactively identify areas for system improvement, reliability, and technical debt reduction.
• Mentor junior engineers on technical best practices, system understanding, and project execution

The Marketplace Segmentation team is at the forefront of optimizing Uber’s core rides business by strategically differentiating product offerings to cater to diverse rider needs and market conditions. We build and maintain critical products like UberX Priority and Wait & Save . Our work also extends to strategic initiatives such as building a tiered portfolio and expanding Uber’s global footprint. We leverage advanced matching algorithms, dynamic pricing, and machine learning to balance marketplace supply and demand, enhance rider experience, and drive incremental growth.- What the Candidate Will Do -

• Own the end-to-end development of features and small projects for X+, Wait & Save, Basic Economy, or Sparse Market initiatives. This includes design, implementation, testing, and deployment.
• Design and build robust, scalable, and high-performance components for core marketplace systems, such as matching levers (e.g., scan interval, OF tuning), dynamic pricing mechanisms (e.g., rider discounts, driver premiums), or user experience flows.
• Debug and troubleshoot complex production issues across distributed systems, identifying root causes and implementing effective solutions to maintain marketplace stability and reliability.
• Collaborate closely with Product Managers and Applied Scientists to translate product requirements and analytical insights into technical designs and solutions.
• Conduct thorough code reviews, providing constructive feedback and ensuring adherence to engineering best practices.
• Contribute to the team’s on-call rotation and proactively identify areas for system improvement, reliability, and technical debt reduction.
• Mentor junior engineers on technical best practices, system understanding, and project execution.