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Uber's Courier Pricing team needs to develop 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.

Requirements

• 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
• Sound understanding of Computer architecture and CS fundamentals.
• Strong experience in Software Design and Architecture, Data Engineering, and Modeling, having experience in scaled Distributed systems.
• Understanding of distributed systems and architecture.
• 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).

Responsibilities

• 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.

Other

• Strong track record of contributing to and delivering impactful product features, balancing quality with timely execution.
• 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
• Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office.