At Lyft, our mission is to improve people's lives with the world's best transportation. To accomplish this, we start with our community by creating an open, inclusive, and diverse organization. We are looking for an experienced backend software engineer to join our Telematics team. At Lyft, Telematics data is used to make Lyft safer by reducing accident risk, 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 vast amounts of high-frequency ride data, serving our Telematics ML models (e.g. harsh braking, harsh acceleration, etc.) and deriving insights for partner teams.

Our technology stack runs on AWS, Kubernetes, Spark and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering (mobile, server and data), machine learning and data science, actuarial science on building industry-leading innovations that make Lyft safer by reducing the frequency and severity of accidents on the platform.

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 will thrive on our team!

You can read about some of the products that the Telematics powers in this blog post: https://www.lyft.com/blog/posts/lyfts-impact-on-road-safety

• Be a champion of the team’s safety and affordability mission by serving as a reliable source of risk insights for other teams at the company
• Lead large projects, ensuring end-to-end execution with a focus on high quality and reliability.
• Work cross-functionally with Data Scientists to productionize models to derive safety insights from Telematics data, driving the team’s industry-leading innovation in this space
• 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, ensuring their stability and reliability.
• Collaborate with cross-functional teams to define and refine the roadmap for Telematics projects.
• Utilize your expertise in Python, AWS, Spark, SQL, etc. to deliver robust and scalable solutions.
• Participate in our teams on-call rotations, respond to incidents and support other teams mitigate customer impacting events

• 5+ 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
• 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

• Great medical, dental, and vision insurance options
• Mental health benefits
• Family building benefits
• In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
• 401(k) plan to help save for your future
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Pre-tax commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. 

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco area is $144,000 - $180,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.