At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

We are seeking a Software Engineer to join our Map Data team, responsible for constructing and maintaining Lyftmap. This map serves as the backbone of Lyft's navigation system, supporting millions of rides by furnishing precise details about the road network. Our focus lies in both static and real-time modeling of the road network and swiftly delivering the required data. The objective is to provide accurate and rapid access to map data that will later be used for optimal route planning in terms of speed, cost-effectiveness, and safety. This involves processing a vast volume of ride data, road network data, and real-time events to facilitate timely and precise access to essential information.

We are looking for an engineer with proven expertise in system architecture, microservices, and big-data processing and experience in building scalable solutions in the cloud environments.

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, machine learning and data science on building rideshare experiences that delight millions of riders and drivers. 

• Collaborate with cross-functional teams to define and refine the roadmap for mapping projects.
• Lead large projects, ensuring end-to-end execution with a focus on high quality and reliability.
• Provide technical guidance on the implementation of microservices and contribute to the evolution of our architecture.
• Actively unblock and support team members, fostering a collaborative and efficient work environment.
• Take a lead role in the ongoing maintenance of our mapping services, ensuring their stability and reliability.
• Utilize your expertise in Python, Golang, AWS, and SQL to deliver robust and scalable solutions.

• 5+ years of professional software engineering experience
• Strong background in microservices architecture
• Extensive experience in object-oriented programming (ideally python or Go)
• Hands-on experience with cloud computing using AWS, GCP or Azure
• Interest in Mapping technologies

If you are a seasoned engineer with a passion for innovation, microservices, and possess the skills to ensure the ongoing maintenance and improvement of services, we invite you to join our dynamic team. Apply now to be part of an exciting journey in the world of mapping technology.

• 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.  

Starting in September 2023, 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, Wednesdays, and Thursdays. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.

The expected range of pay for this position in the San Francisco area is $132,000 - $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.