Software Engineer II, Backend - Risk

About the team

The Risk Product Engineering team's mission is to protect Uber and our customers globally by reducing Payment & Marketplace Fraud Losses while protecting users and accelerating growth. We build best in class Risk Systems that proactively manage fraud losses by early detecting and actioning on fraud activities across Uber eco systems with least impacts on growth funnels. We operate globally and partner with many organizations within Uber to build real-time scalable risk solutions leveraging advanced ML predictions. We scale to millions of users and make billions of risk decisions every day, for example, GPS Spoofing detection for drivers/courier, DNS/CB reduction on fraudulent rider/eater accounts, post trip refund and appeasement fraud prevention etc. We are growing fast, onboarding and expanding risk protection for new product lines, new payment instruments and supporting the scale of Uber lines of business growth.

About the role

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 and data analytics teams at Uber to tackle challenging problems and build innovative solutions.

- You will also be responsible for production system reliability, troubleshooting issues, and providing timely resolution.

---- Basic Qualifications ---

- At least 3 years of Software Engineering Experience

- Bachelor of Science (BS) in Computer Science, Physics, or Mathematics, or related field

- Experience coding with C++, Java, Python, or Go

- Experience developing and shipping code for production systems

- Experience in systems software engineering. Sound understanding of computer architecture and CS fundamentals.

---- Preferred Qualifications ---

- Master of Science (MS) in Computer Science or related fields

- Proficient in one of the following programming languages: Java or Golang

- Previous experience with Risk, Fraud Detection, and Machine Learning

- Contribute to the wider software community through open-source

For San Francisco, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).

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.