SOFTWARE ENGINEERING II, BACKEND - RISK

About the Role At Risk engineering team, we solve the hard problem of detecting fraud, abuse and anomalous behavior across Uber globally.
We build real-time Risk Assessment using advanced ML predictions and knowledge platform.
Our solutions are hugely impactful.
Risk systems process Petabytes of data and we make billions of predictions/decisions every day.
You will work with a group of talented engineers (backend engineers and machine learning engineers), Product, Data Analysts and Data Sciences to deliver cutting edge fraud solutions that prevent fraud loss for Uber and help improve overall User Experience! What the Candidate Will Do Design and develop scalable backend systems and services that solve fraud and abuse problems as well as drive better user experiences across Uber Products and Lines of Businesses 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.
Collaborate with other engineering teams in Uber Marketplace, Payments Systems and PMs to drive end-to-end design, execution and product rollout.
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 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.
Offices continue to be central to collaboration and Uber’s cultural identity.
Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office.
For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time.
Please speak with your recruiter to better understand in-office expectations for this role.
*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 .