About the Job
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 sup...
Key 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
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
Experience writing and maintaining unit and integration tests with a focus on reliability and regression prevention
Familiarity with Git workflows, code review processes, and CI/CD pipelines
Ability to scope and break down moderately complex tasks independently
Good communication skills and a collaborative approach to problem-solving
