Risk Solutions
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
We are looking for an experienced backend software engineer to join our Road Safety & Telematics team. At Lyft, Telematics data is used to make Lyft safer by reducing the frequency and severity of accidents, which in turn also makes Lyft more affordable for riders and a better way to earn a living for drivers. The Telematics team acts as a platform team that processes petabytes of mobile sensor data — millisecond-level IMU, gyroscope, and GPS signals — through a series of DAG-based transformations and ML model inferences to detect harsh driving events and convert them into normalized risk features that other Lyft services consume.
Our technology stack runs on AWS, Kubernetes, Spark, and Apache Airflow. In this role, you'll work closely with data scientists, actuarial teams, other backend and data engineers, and product management — partnering across geos to build risk-aware products that rank and reward safe drivers, help off-board unsafe ones, notify drivers in real time, and give claims agents the tools to understand exactly what happened in a ride. You'll also be a key technical partner to our insurance team as they optimize coverage costs and provider relationships.
If you are a seasoned engineer with a passion for innovation, high-volume data pipelines, microservices, working in cross-disciplinary environments and possess the skills to ensure the ongoing maintenance and improvement of services, you w