Software Engineer II - Engineer

Engineering at Uber means building for real-world impact under real-world constraints. As a Software Engineer II on the Eater Real Time Pricing team, you will build the surge pricing algorithms that keep Uber's delivery marketplace healthy. Our systems produce real-time decision signals that other critical systems — matching, courier pricing, promotions — depend on every second. The team sits at the intersection of the supply and demand sides of the business: when our pricing is right, the marketplace balances; when it is off, consumers and couriers feel it within minutes.

The problems here are complex and the stakes are immediate. Demand spikes with weather, holidays, and events; supply shifts city by city; and our algorithms must respond in real time with imperfect information. We are looking for engineers who think in systems, care about correctness under load, and want a short line from their code to visible marketplace outcomes. If you are energized by problems where algorithms meet the physical world — this is where you'll grow.

Design, develop, and maintain high-quality code for surge pricing and marketplace-health features of moderate complexity, with multiple system dependencies.

Build and scale real-time pricing and forecasting systems that serve decision signals to matching, courier pricing, and other downstream consumers at high throughput and low latency.

Own the software lifecycle end-to-end: from design docs through production rollout, debugging live issues, and managing incidents in a system where minutes matter.

Collaborate across disciplines — Product, Applied Science, and Ops — to translate ambiguous marketplace problems into simple, robust system designs.

Champion engineering best practices through quality code reviews, comprehensive tests, and strong monitoring of systems that must degrade gracefully under extreme demand.

Navigate cross-team dependencies and stakeholder inquiries to keep pricing signals reliable across every city we serve.

3+ 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).

Experience designing and operating high-throughput, low-latency services, and translating customer or business problems into system design.

Bachelor's Degree (or equivalent experience) in Computer Science, Engineering, or a related technical field.

Experience writing tests to verify functionality and establishing monitoring to ensure code stability in production.

Experience with marketplace, pricing, dispatch, forecasting, or other real-time decision systems.

Familiarity with real-time data streaming (e.g., Kafka, Flink) or time-series forecasting pipelines.

Experience identifying and reducing technical debt in high-load distributed systems.

Demonstrated ability to exercise sound judgment on engineering trade-offs where algorithm behavior has direct business impact.

Background in contributing to engineering culture through code review, documentation, or mentoring.