The Courier Pricing team sits within Uber’s Delivery Marketplace org and plays a key role in shaping pricing across food, grocery, and other delivery verticals. We work closely with cross-functional teams to develop scalable pricing products that keep our marketplace efficient, reliable, and ready to grow. As a Software Engineer II, you’ll build a world-class pricing system that efficiently prices every offer made to Uber’s delivery partners—impacting hundreds of millions of consumers and millions of merchants worldwide.
What the Candidate Will Do: Design and build impactful products utilized by hundreds of millions of consumers, in collaboration with engineers, Product Managers, Product Operations, and Data/Applied Scientists. Develop high-performance, scalable, and reliable distributed backend systems that are core to Uber’s Delivery platform. Tackle challenging data issues using innovative design and algorithms. Write clean, maintainable, and high-quality code that meets strong engineering standards. Work closely with team members to quickly and efficiently ship complex projects while maintaining quality. Take ownership of crucial components in the pricing ecosystem, managing them end-to-end.
Basic Qualifications: Minimum 2 years of experience in software engineering focusing on large-scale systems and/or data engineering. Experienced programming in Java, Golang, C++, Python or related language. Strong track record of contributing to and delivering impactful product features, balancing quality with timely execution. Sound understanding of computer architecture and CS fundamentals.
Preferred Qualifications: Strong experience in Software Design and Architecture, Data Engineering, and Modeling, having experience in scaled Distributed systems. Understanding of distributed systems and architecture. Good problem-solving and analytical skills, knowledge of algorithms, data structures, and complexity analysis. Proven experience in large-scale distributed storage and database systems (SQL or NoSQL, e.g., MySQL, Cassandra). Experience with data-driven architecture and systems design knowledge of Hadoop-related technologies such as HDFS, Apache Spark, Apache Flink, Hive, and Presto. Communicate effectively and collaborate well across teams to deliver impactful results. Think strategically and work to align technical decisions with broader business goals, always considering impact. Machine learning hands-on experience is preferred, however deep ML knowledge is not required.
For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year – USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year – USD$185,500 per year. 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 compensation. You will also be eligible for various benefits. More details can be found at the following link: https://www.uber.com/careers/benefits.