Software Engineer, Driver Experience

LyftToronto, OntarioHybridFull-timeJunior, 1–2 yearsListed 2 hours ago

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About this 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

- 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

Benefits:

- Extended health and dental coverage options, along with life insurance and disability benefits

- Mental health benefits

- Family building benefits

- Child care and pet benefits

- Access to a Lyft funded Health Care Savings Account

- RRSP plan with company match to help save for your future

- In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service

- Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.

- Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. 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 Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.