Senior Software Engineer, Uber Direct

Senior Software Engineer, Uber Direct Department: Engineering Team: Backend Location: Seattle, United States Type: Full-Time **About the Role** Uber Direct is one of Uber’s fastest-growing and most exciting marketplace bets, providing retailers and enterprise partners access to the same logistics and technical capabilities powering the Uber Eats product. Within Direct, the Logistics team operates as a scrappy, high-velocity growth bet. We are fundamentally expanding Uber’s capabilities from small multi-order dispatch to owning the End-to-End (E2E) parcel journey. Partnering closely with our Staff Engineers, you will tackle complex, 0-to-1 technical challenges. **What You Will Do** 1. **Build 0-to-1 Logistics:** Develop lightweight, native UI/backend MVPs for sortation, etc. 2. **Leverage AI:** Build and operate AI-driven software factories that translate product intent directly into production-ready code. Orchestrate agents and workflows (LLMs, CLIs) to parallelize development and automate repetitive engineering work. 3. **Cross-Functional Collaboration:** Partner directly with Product, Ops, and Data teams to define and translate complex, ambiguous business problems into technical solutions. 4. **Reliability & Mentorship:** Build robust alerting and monitoring for your systems, and provide technical leadership and mentorship to mid-level and junior engineers on the team. \-\-\-\- Basic Qualifications ---- 1. 5+ years of backend software engineering experience. 2. Proficiency in Golang, Java, or similar object-oriented languages. 3. Proven experience shipping high-quality, highly available products at massive scale. 4. Deep understanding of operations, maintenance, and system reliability. 5. Experience mentoring and guiding junior engineers to elevate team velocity. \-\-\-\- Preferred Qualifications ---- 1. BS or MS degree in Computer Science or a related technical field. 2. Deep experience with microservice architecture, distributed systems, and domain-driven design. 3. Familiarity with event-driven architectures, asynchronous processing, and Kafka. 4. **Domain Expertise:** Previo