About the role:
Engages with stakeholders across teams to lead the development and maintenance of backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber.
About the Team:
The Risk Platform team builds scalable platform solutions to tackle the challenging problem of fraud & abuse across the entire Uber Product space.
The team has built state-of-the-art systems for Feature Engineering and Knowledge Graph of business entities to power features for all risk rules and machine learning models. The platforms are built for more broader use and support key use cases across Risk, Safety, Identity, Payments and Compliance teams!
As an engineer on this team, you will work with a talented and highly collaborative cross functional team of Engineers (backend and machine learning engineers), Risk Analysts, Data Analysts, Data Scientists, and Product. We're nimble and efficient, and we like to have fun!
The Risk Platform team builds and scales high throughput low latency systems for access of knowledge graph features and vector features.
What You'll Do

• Designing and developing backend systems infrastructure leveraging Cassandra, Hadoop/Hive, Flink and other Uber internal infrastructure platforms.
• Enrich and scale the Feature store and knowledge graph data to support various use cases in Risk, Safety and Identity.
• Designing and developing spec driven feature computations for rules and ML models.
• Work closely with a fun and highly collaborative cross-functional team of Engineers, Product Managers, Data Scientists, Data Analysts and Risk Analysts

Basic Qualifications

• At least four (4) 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.
• Proficient in one of the following programming languages: Java or Golang or other equivalent

Preferred Qualifications

• Detailed problem-solving approach and knowledge of algorithms, data structures, and complexity analysis.
• Understanding of distributed system and architecture
• Knowledge of Spark, Flink and Hadoop ecosystem

Technical skills:
Required:

• Distributed systems

Preferred:

• Product engineering
• Scalability engineering

At Uber, we reimagine the way the world moves for the better. The idea was born on a snowy night in Paris in 2008, and ever since then, our DNA of reimagination and reinvention carries on. We've grown into a global platform moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.
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.
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.
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.
Uber is committed to a safe workplace. We have implemented COVID-19 safety protocols that meet or exceed local public health guidelines. Workplace safety remains our number one priority. As a result, Uber recommends all US- and Canada-based employees to be vaccinated in order to access any of our facilities; this is subject to change solely at the Company's discretion.