About The Role
Uber is looking for a Staff Software Engineer who's passionate about the maps domain that is powering all of Uber's rides and delivery products globally. You will own and contribute to systems that reflect the representation of planet earth and its rapid changes. Building the basemap unlocks the core functionality that enables all Uber's trips and is meant to serve millions of concurrent rides and deliveries. If you are driven by handling complex data models that need to be fresh, accurate, consistent, and highly available, to be able to support Uber's scale, this is the role for you. You'll be empowered to contribute to the vision of the maps org and architecture that help Uber move the world.
About The Team
Uber's map is the foundation of every ride and delivery made, it is the heart that makes us able to move the world. Having the latest and most accurate map is critical to the business. The Base Map team's charter is to build solutions so that changes to planet-wide road network and other map data are continuously ingested, enriched, and refreshed while serving hundreds of thousands of concurrent trips by drivers and couriers all around the globe. Uber's world-class engineers are empowered to innovate in scalability, distributed systems, mobile development, and high availability services.
Come join us to help solve exciting problems at scale.
What The Candidate Will Do
- Craft the technical strategy and architecture for the basemap domain.
- Lead development and maintain high QPS services that serve map data across multiple teams.
- Implement Spark and related pipelines for ingesting large-scale map data.
- Optimize Big Data pipelines to be more efficient, performant, and reliable.
- See the big picture and identify inefficiencies and opportunities for meaningful improvements across the Maps Platform and Uber as a whole.
- Coach your peers to reach high quality and timely deliverables.
Basic Qualifications
- Technically strong, with 10+ years of experience building highly scalable software and data pipelines.
- Excellent written and verbal communication skills, experience writing detailed technical documents.
- Experience with Java, Python (bonus points for more than one).
Preferred Qualifications
- Experience with Spark, HDFS, Hive.
- Background in geospatial problem solving.
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