08 AprAbout the TeamWhether engineering more accurate ETAs or helping drivers navigate to the perfect pick-up spot, our mapping technologies are integral to the magic of the Uber platform. On the Maps Engineering team, we use the latest ML, GPS, and telematics solutions to make transportation on our platform safer and more accessible.About the RoleUber critically depends on search, routing, and navigation services to power its business. The world's road systems, addresses, and places are always changing and consequently these services need to operate on the latest and most accurate map. The Map Data Services team's charter is to provide engineering and infrastructure solutions so that changes to the map are continuously ingested, stored, improved, verified and deployed to these services all the while serving hundreds of thousands of concurrent trips.What You'll DoHelp build and extend large scale, distributed systems related to storing and serving geospatial data, including:
- Extend and optimize a large-scale map storage service using NoSQL technologies.
- Build and extend a service and UI that serves geofences to more than one hundred other internal Uber services.
- Architect and implement solutions to challenging problems around cross-data-center consistency and availability, short and long transactions, latency, caching, indexing, throughput, proxies, asynchronous processing with message queues, and storage garbage collection.
- Work with Uber teams in maps, rides, eats, and freight to understand requirements and provide solutions and advice on how they can optimize the usage of their spatial data.
- Bachelor of Science degree (or higher) in computer science, related field or equivalent practical experience.
- Strong software engineering skills, supported by 3+ years of industry experience in languages like Java, GO, or C.
- Strong collaboration and communication skills; ability to influence others within your team and outside your team.
- Experience with any of the following: scalable, distributed systems and services; distributed SQL/NoSQL data stores like MySQL, HBase, Cassandra, HDFS; Spark, EMR, S3; messages queues like Kafka; geo-replication and consistency/availability trade-offs; and service-oriented-architectures.
- Experience or passion for working on systems related to maps.