Role Overview
Lyft is hiring a mid-level Software Engineer, Mapping. This is a full-time role in Toronto. Part of Lyft's Backend hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
At Lyft, our purpose is to serve and connect. To accomplish this, we start with our community by creating an open, inclusive, and diverse organization. Our mission depends on having a digital representation of the physical world - a map with all routing related (real-time) information. This is what makes Lyft different from many products: our products don’t just facilitate online interactions, they facilitate dynamic, real-world ones. Without mapping services, none of these real world interactions between people and transport can happen.
We are hiring a Software Engineer to join our Mapping organization. In this role, you'll collaborate with other engineering teams, product, data science, analytics, and operations on programs that empower us to iterate quickly, delighting our passengers and drivers with rideshare focused mapping experiences.
Responsibilities:
- Drive high-impact projects and innovate new solutions to provide the best customer experiences
- Lead backend and cross functional projects to achieve long term goals as well as deliver short term roadmaps
- Lead large features from idea to successful execution and launch
- Own systems and components within the team and be accountable for their short term functionality and long term health
- Participate in code and architecture reviews to ensure code quality and distribute knowledge, as well manage call rotations and proactively improving processes
- Write well-crafted, well-tested, readable, maintainable code
- Share your knowledge by giving brown bags, tech talks, mentoring others, and promoting appropriate tech and engineering best practices
Experience:
- BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
- 3+ years of software engineering/production infrastructure industry experience
- Experience designing, debugging and running fault-tolerant, highly available, large-scale distributed systems
- Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
- Experience working with databases, relational or NoSQL
- Led a set of components or system from design to launch
- It would be a huge plus to have proficiency with Go and Python.
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 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
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.
Frequently Asked Questions
How do I apply for the Software Engineer, Mapping position at Lyft?
Use the Apply button above to submit your application directly to Lyft. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Software Engineer, Mapping position at Lyft located?
This position is based in Toronto. Lyft has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Software Engineer, Mapping at Lyft earn?
Lyft has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Software Engineer, Mapping role at Lyft posted?
This role was posted on May 7, 2026 (47 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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