Uber Software Engineer II Backend - Risk 

United States, West Virginia 

662020258

About the Role

Developing real-time streaming features (on streaming platform Flink/Samza) that powers real-time fraud and abuse leveraging Machine Learning predictions and heuristics

Work with cross functional teams like Product Manager, Data Scientists/Analysts to help define problem space, contribute to product requirement, design and develop system solutions.

As a member of the team you will contribute towards building holistic real-time solutions that prevent fraud and abuse across extended Uber Marketplace and Money Platforms.

• You will also contribute toward building the best in class backend system and services to reduce fraud, protect good users and drive Uber growth.
• You will have the opportunity to interact with many product teams at Uber to tackle challenging problems and build innovative solutions.
• You will also be responsible for production system reliability, troubleshoot issues and provide timely resolution.

Basic Qualifications

• Able to communicate in English (Advanced)
• At least 2 years of software engineering experience
• Bachelor of Science (BS) in Computer Science, Physics, or Mathematics, or related field
• Experience in working on large-scale distributed systems
• Data-driven architecture and systems design
• Java/Go/Python
• Design and development of backend system/service APIs that scales to million of users.
• Streaming Platform Samza/Flink and building real-time streaming features
• Good Problem Solving skills. Taking on challenge problem and drive solution
• Experience shipping scalable, efficient, reliable, resilient code that reaches millions of users
• Ability to thrive in a fast paced environment with evolving requirements
• Customer obsession and user first mindset
• Collaborate on projects and working efficiently as part of a team

Preferred Qualifications:

• Contribute to the wider software community through open source
• Master of Science (MS) in Computer Science or related Field.
• Previous experience with Risk, Fraud Detection and Machine Learning

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .