Senior Software Engineer, Telematics

Who you are

You have 5+ years of backend engineering experience, particularly in building production systems that handle large volumes of data. Your expertise includes designing and maintaining high-frequency data pipelines, ensuring reliability and performance in complex environments. You thrive in cross-disciplinary teams, collaborating with machine learning and data science professionals to derive actionable insights from data.

Your technical skills include deep knowledge of AWS and Kubernetes, which you have used to deploy and manage scalable applications. You are familiar with Apache Spark and Apache Airflow, enabling you to process and orchestrate data workflows efficiently. You understand the importance of safety and affordability in the ride-sharing industry and are motivated to contribute to these goals through your engineering work.

You possess strong problem-solving skills and can debug complex distributed systems issues. Your experience includes working with microservices architectures, allowing you to build and maintain modular and scalable applications. You are comfortable with continuous integration and deployment practices, ensuring that your code is always production-ready.

You are a proactive communicator, able to articulate technical concepts to non-technical stakeholders. You enjoy mentoring junior engineers and sharing your knowledge with the team, fostering a culture of learning and collaboration. You are passionate about innovation and are always looking for ways to improve existing systems and processes.

Desirable

Experience with machine learning models and their deployment in production environments is a plus. Familiarity with data privacy and security best practices will help you navigate the challenges of handling sensitive ride data. You are open to exploring new technologies and methodologies that can enhance the team's capabilities.

What you'll do

As a Senior Backend Engineer on the Telematics team, you will be responsible for designing and implementing robust data processing systems that support Lyft's safety initiatives. You will work closely with data scientists and machine learning engineers to integrate models that analyze ride data for risk insights. Your role will involve optimizing data pipelines to ensure they can handle high-frequency data efficiently, contributing to the overall performance of the Telematics platform.

You will collaborate with cross-functional teams to identify opportunities for innovation and improvement in the Telematics systems. This includes participating in design reviews, providing feedback on architecture decisions, and ensuring that best practices are followed throughout the development process. You will also be involved in troubleshooting and resolving production issues, ensuring that the systems remain reliable and performant.

Your contributions will directly impact Lyft's mission to enhance safety for riders and drivers alike. You will have the opportunity to work on industry-leading innovations that leverage data to reduce accident risks. You will be part of a team that values collaboration and continuous improvement, where your ideas and insights will be welcomed and encouraged.

What we offer

Lyft offers a dynamic work environment where you can thrive and grow your career. You will be part of a team that is dedicated to making a positive impact on road safety through technology. We provide competitive compensation and benefits, along with opportunities for professional development and advancement within the company. Join us in our mission to connect and serve our communities through innovative solutions.