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Software Engineer - Backend

Backend, Engineering in San Francisco, CA

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

 

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

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.

 

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See our Candidate Privacy Statement

At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.