Software Engineer, Driver Experience

Lyft - Toronto, Canada - original posting ->
Status
Open
Remote policy
Not stated
Employment type
Not stated
Salary
Not stated
Categories
Driver Experience
Tech
awsgcpgojavapythonsoftware
Source
lyft
First observed
2026-09-23 22:02 UTC
Last seen
2026-09-23 22:02 UTC
Source claims posted
2026-09-23 20:55 UTC
Consecutive misses
0 of 3

What the posting says

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.

Quality

Completeness: 45%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #957247 2026-09-23 22:02 UTC
    Published