Qualifications
We are seeking candidates with a minimum of 5 years of software engineering experience, particularly in backend development. Proficiency in Python, AWS, Spark, and SQL is essential. Ideal candidates should demonstrate a strong track record of managing high-volume data pipelines and microservices, along with the ability to work effectively in cross-disciplinary teams. Experience in productionizing machine learning models and leading projects with a focus on quality and reliability is highly desirable.
About the job
Join Lyft's innovative Telematics team as a Senior Backend and Data Engineer, where your expertise will directly contribute to enhancing safety and affordability within our ride-sharing platform. In this role, you'll develop and maintain high-frequency data processing systems, utilizing our advanced technology stack, including AWS, Kubernetes, Spark, and Apache Airflow. Collaborate with passionate colleagues across software engineering, machine learning, and data science to transform telematics data into actionable insights that drive our mission of reducing accidents and improving the rider and driver experience.
About Lyft
At Lyft, we are committed to fostering a diverse and inclusive work environment where every team member feels valued and empowered to succeed. Our mission is to serve and connect individuals, and we achieve this by leveraging cutting-edge technology and data to enhance the safety and affordability of transportation. Join us in making a meaningful impact on the future of mobility.
