Staff Software Engineer, Risk

Staff Software Engineer, Risk Department: Engineering Team: Backend Location: Hyderabad, India Type: Full-Time ## **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 Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it 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. Pl