Software Engineer, Driver Experience
Lyft INC · 🇨🇦 Toronto, Canada
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeCanada has no single salary bar: the employer usually needs a positive LMIA. Pay at or above the provincial median wage + 20% (e.g. C$36.92/h in Ontario) puts it in the high-wage stream. Source: https://www.canada.ca/en/employment-social-development/services/foreign-workers/median-wage.html, rules effective 2026-07-17.
- Confirmed live todayWhen a source last listed this job as open.
Canada: Express Entry no longer awards ranking points for job offers (since 25 Mar 2025); a job offer still counts toward Federal Skilled Worker eligibility.
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Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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Sponsor Radar — Lyft INC
No government sponsor record covers this employer in this country.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Lyft INC →
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 • 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 te