Direct Logistics Solutions - Senior Software Engineer

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.

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.

About the Role

The Direct Logistics Solution team's mission is to build highly efficient, next-generation logistics solutions that drive growth in last-mile delivery by evolving marketplace constructs. This role is responsible for major strategic initiatives focused on developing new and innovative fulfillment capabilities, optimizing pricing/incentives, and enhancing core efficiency elements like real-time batching and delivery time estimations. The candidate will have a direct, measurable impact on improving overall operational performance and significantly reducing the cost of delivery across the network.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Design and Implement Core Systems: Design, build, and deploy highly scalable, real-time backend services and APIs that power core logistics functions, such as dynamic batching, matching, and order fulfillment.
2. Develop ML/Optimization Features: Take ownership of implementing and integrating machine learning logic into production, including feature engineering, model serving for predictions (e.g., ETA/ETD), and coding highly-optimized algorithms to drive CPT reduction.
3. Technical Ownership and Quality: Lead the technical design, implementation, and testing of complex features end-to-end, ensuring code quality, low latency, and high reliability of critical production services in a 24/7 environment.
4. Collaborate on Architecture: Participate actively in architecture reviews, contribute to technical documentation, and collaborate closely with Staff Engineers and Data Scientists to define the technical roadmap and solve complex cross-team integration challenges.
5. Maintain and Operate: Drive operational excellence by improving system monitoring, alerting, and on-call procedures, and troubleshooting complex production issues to ensure the smooth operation of the logistics platform.

---- Basic Qualifications ----

1. 5+ years of hands-on software engineering experience in a high-scale environment, with a focus on building and operating high-throughput, low-latency Backend systems.
2. Expert-level proficiency in one or more backend languages (e.g., Go, Java, Python) and a demonstrated ability to design and implement highly concurrent and performant microservices.
3. Strong foundation in computer science fundamentals, including data structures, algorithms, and complex system design, with a focus on reliability and fault tolerance.
4. Demonstrated ability to take ownership of complex features end-to-end, from technical design and implementation to deployment and monitoring in a 24/7 production environment.

---- Preferred Qualifications ----

1. Proven experience developing and deploying production-grade Machine Learning (ML) systems or Optimization components, including data ingestion, feature engineering, model serving, and integrating ML predictions (e.g., ETA, demand) into critical application flows.
2. Direct experience working on logistics, ride-sharing, or complex two-sided marketplace platforms, especially in areas like dynamic pricing, real-time matching, routing, or supply/demand balancing.
3. Experience designing and optimizing algorithms related to operations research, graph theory, or advanced scheduling/batching logic.
4. Deep technical knowledge of performance tuning and monitoring distributed systems, including experience with tracing, logging, and observability tools.
5. Familiarity with the engineering challenges of working with large-scale data (terabytes/petabytes) and real-time streaming technologies.
6. Prior contributions to the architecture of core platform components, demonstrating the ability to anticipate and solve technical challenges before they impact scalability or performance.

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 fuelds progress. What moves us, moves the world - let’s move it forward, together.

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.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.