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Software Engineer, GovTech

Remote / Online - Candidates ideally in
Toronto, Ontario, C6A, Canada
Listing for: Lyft
Part Time, Remote/Work from Home position Listed on 2026-11-10
Job specializations:
  • Software Development
    Software Engineer, Cloud Engineer - Software, AI Engineer (Applied/Software), Backend Developer
Salary/Wage Range or Industry Benchmark: 108000 - 135000 CAD Yearly CAD 108000.00 135000.00 YEAR

Job Description & How to Apply Below

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 Govtech team builds rich and creative features that set the standard for the ride sharing industry. We are seeking a highly motivated, mid-career software engineer to contribute to the development of features that facilitate Lyft's entry into new markets, ensure the company's adherence to local regulatory requirements, and utilize the latest AI technologies to enhance the user experience.

Ownership is a key quality for this team; this person should be driven to track a project to successful completion and beyond, taking initiative to work with other teams and functions to ensure the code they write reaches users and drives impact. As a Software Engineer for Govtech, you’ll be responsible for executing integrations with partners, making tradeoffs between technical investments and product work, and collaborating with other engineers on system design.
Responsibilities   Help establish roadmap and architecture based on technology and understanding of customer needs
Write well-crafted, well-tested, readable, maintainable code
Can help lead large projects from idea to positive execution
Unblock, support and communicate with external and internal partners to achieve results
Participate in code reviews to ensure code quality and distribute knowledge
Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices
Experience

Experience:

3+ years of software engineering experience with high-level programming languages; experience with Python and Go is a plus. BS/MS in Computer Engineering, Computer Science, or related field, or equivalent work experience. Strong background in distributed systems, and proficient in relational or No

SQL databases. Proven experience in designing, debugging, and managing fault‑tolerant, highly available, large‑scale distributed systems. Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
Nice to have   experience with machine learning and building LLM applications
proficiency in AI tools
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
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.
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,…
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