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Lyft is looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. 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.
Rider Pay sits within Rider PLP Org (Partnership, Loyalty, Pay) and exists to remove friction from every payment moment and make riders' money go further. We enable financial benefits that create value, build payment systems that support membership, and ensure every transaction reinforces the Lyft relationship
Responsibilities:
- Write well-crafted, well-tested, readable, maintainable code
- Participate in code reviews to ensure code quality and distribute knowledge
- Participate in our teams oncall rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms
- Have the ability to explain the various trade offs made in decisions
- Manage project priorities, deadlines, and deliverables.
- Partner with product managers, designers, and other engineering teams to build complex features and products from idea to positive execution
- Analyze our internal systems and processes and locate areas for improvement/automation
- Participate in AI-augmented development workflows for code review, testing, and documentation
- Contribute to reusable platform capabilities to transition from product-by-product solutioning to scalable, config-driven infrastructure
- BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience
- Minimum 2 - 3 years of software engineering industry experience
- Proficiency in object-oriented programming
- Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
- Solid knowledge of distributed systems, relational and NoSQL databases
- Ability to work with a low-ego, highly collaborative, and cross-functional team
- Bonus points:
- Experience pursuing side projects or open-source projects
- Experience with AI coding assistants (e.g., Cursor, Claude Code) to improve developer productivity
- 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 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 $108,000-$135,000 CAD, 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.
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