Sr Software Engineer - Eater Real Time Pricing
Listed on Uber’s official careers site. Posted October 17, 2026. Check that it is still open and apply there.
Apply on Uber’s careers site →Job description
About the role and team Engineering at Uber means building for real-world impact under real-world constraints. As a Sr Backend Software Engineer on the Real-Time Pricing team, you will build innovative products and scalable systems that power our global marketplace. Our systems produce real-time decision signals and sophisticated algorithms that other critical systems depend on every second. The problems here are complex, the systems are massive, and the stakes are immediate.
What you'll do Own the implementation of complex optimization decision problems and handle low-latency microservices at scale at millions of QPS. Understand and integrate with prediction systems, unifying pipelines into a combined real-time serving architecture.
Own the software lifecycle end-to-end
from design docs through production rollout, debugging live issues, and managing incidents. Collaborate across disciplines — Product, Applied Science, UX Design and Ops — to translate ambiguous marketplace problems into robust system designs.
Basic Qualifications
5+ years of professional software engineering experience in backend development, distributed systems, or real-time data processing. Proficiency in one or more object-oriented or functional programming languages (e.g., Go, Java, Python). Track record of leading the design and delivery of complex, multi-quarter projects across team boundaries. Experience designing and operating high-throughput, low-latency production services.
Bachelor's Degree (or equivalent experience) in Computer Science, Engineering, or a related technical field.
Preferred Qualifications
Experience with marketplace, pricing, dispatch, forecasting, or other real-time decision systems where algorithm behavior has direct business impact. Experience partnering with data scientists or applied scientists to productionize models and experimental systems. Familiarity with real-time data streaming (e.g., Kafka, Flink) or large-scale time-series forecasting.
Demonstrated technical leadership
mentoring engineers, driving design reviews, and raising operational standards in high-load systems. Proven ability to thrive in high-ambiguity problem spaces, exercising sound judgment on trade-offs with imperfect information.
Responsibilities
For New York City, NY-based roles
The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For San Francisco, CA-based roles
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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
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