Software Engineer, Driver Experience

About the role

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.

The Driver team is dedicated to fostering a platform of high-quality service by empowering drivers to perform their best.

We are looking for a product-minded engineer who wants to build and improve products that sit at the center of the core driver experience. Products you drive will solve pain points that matter most to drivers by streamlining key interactions, reducing friction, and creating systems that feel intuitive, fair, and supportive.

As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.

Responsibilities:

- Design and implement backend features end-to-end with clear ownership, delivering well-scoped work from technical design through to production with moderate guidance from senior engineers

- Write clean, reliable, well-tested code that meets team standards and holds up in code review

- Participate actively in code reviews, giving specific and constructive feedback while continuing to develop your own review instincts

- Debug and resolve issues across backend services including performance bottlenecks, reliability problems, and data integrity issues

- Collaborate with product managers, designers, and partner engineering teams to clarify requirements and surface technical constraints early

- Contribute to technical discussions and help evaluate implementation approaches for new features

- Write unit and integration tests for your own code and develop familiarity with the team's broader testing and observability practices

- Address technical debt and make incremental improvements to existing services as part of regular development work

- Participate in on-call rotations, respond to production incidents, and support teammates in mitigating customer-impacting events

- Communicate progress, blockers, and tradeoffs clearly within the team

Experience:

- 3–5 years of software engineering experience with a history of shipping backend features in production environments

- Strong proficiency in one or more backend languages (Go, Python, Java, or similar) with a solid understanding of performance and reliability fundamentals

- Solid working knowledge of distributed systems concepts — microservices, REST and/or gRPC APIs, message queues, and async processing patterns

- Familiarity with relational and NoSQL databases, including data modeling, querying, and basic indexing and performance considerations

- Experience with observability tooling — logging, metrics, and alerting — and a developing instinct for how to make systems debuggable in production

- Comfortable working with cloud infrastructure (AWS, GCP, or similar) at a feature level, with a growing understanding of how services are deployed and operated