Software Engineer, Telematics

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 T...

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 one...

Be a champion of the team's safety and affordability mission, serving as a reliable source of risk insights for teams across Lyft — from driver ranking and safety rewards to accident claims resolution and insurance strategy.
Lead medium to large projects, ensuring end-to-end execution with a focus on high quality and reliability.
Work cross-functionally with Data Scientists to productionize models that turn raw sensor signals into harsh-event detection and risk features, driving the team's industry-leading innovation in this space.
Drive future work to reduce latency, simplify, and improve the accuracy of both our back-end and on-device models that predict accidents before they happen.
Actively unblock and support team members, fostering a collaborative and efficient work environment.
Take a lead role in the ongoing maintenance of our Telematics systems, reducing tech debt and operating costs through sensible, data-driven design decisions.
Collaborate with product management and leadership across geos to define and execute ambitious roadmaps for Telematics.
Apply the latest AI tools to boost engineering and business productivity, sharing what you learn with the team.
Utilize your expertise in Python, AWS, Spark, SQL (Databricks/Presto), etc. to deliver robust and scalable solutions.
Participate in our team's on-call rotations, respond to incidents, and support other teams in mitigating customer-impacting events.
4+ years of software engineering industry experience
Experience in backend software development of large-scale distributed systems
Experience and/or interest in running large batch processing jobs with Spark or other large scale compute architectures
Experience and/or interest in Library development
Experience and/or interest in serving, versioning, monitoring ML models in production environments
Experience defining API schemas and developing backend services in a microservices environment
Experience with S3, Spark, Presto, Parquet, Databricks
You're a great communicator, and can advocate for your proposals while also empathizing with your cross-functional teammates' goals and priorities
You collaborate well with a geographically distributed team