We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.
For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.
And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on new modalities, self-driving cars and even urban air transportation, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.
The role
As a Backend Engineer at Uber, you’ll be working on code that’s closest to the business. Your work will impact live riders, eaters, driver-partners, and operations teams across the globe. Our teams span from the traditional ridesharing business to the new emerging products around UberEATS, our own Mapping technology, and Self-Driving cars.
You will build user-facing products, handle and store thousands of payment transactions per second, and develop intelligent fraud prevention strategies that scale. From building maps that help move millions of people, to the messaging systems that let us interact with them - the work you do will impact every single Uber request.
About you
- Expertise in one or more object oriented programming language (e.g. Python, Go, Java, C++) and the eagerness to learn more
- Experience with developing complex software systems scaling to millions of users with production quality deployment, monitoring and reliability.
- Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. MySQL, Cassandra)
- Ability to decompose complex business problems and lead a team in solving them
Bonus points if
- BS/MS/PhD in Computer Science or a related field
Team-specific focus areas
Additionally, Uber has a variety of roles and teams for you depending on where your interests match best.
- High performance systems - Experience with building high performance distributed systems that can scale to 100,000s QPS.
- Core Infrastructure - Experience with developing and running large scale distributed storage systems, service oriented architectures, and reliable monitoring and deployment infrastructure.
- Data Processing - experience with building and maintaining large scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, and Zookeeper
- Machine Learning - experience with machine learning, information retrieval, algorithmic complexity, data mining, pricing, optimization.
- Geospatial - Familiarity with geospatial datasets and services, such as maps, local search, points of interest and business listings data, mobile device location and GPS traces.
by via developer jobs - Stack Overflow
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