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From the employer's careers site First seen 27 Oct 2026

Software Engineer, GovTech

Lyft Toronto, ON mid full-time

The employer hasn't listed a salary.

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Description

The Govtech team at Lyft builds innovative features that set the standard for the ride-sharing industry. We're looking for a motivated mid-career software engineer to contribute to the development of features that facilitate Lyft's entry into new markets, ensure adherence to local regulatory requirements, and utilize AI technologies to enhance the user experience.

As a Software Engineer for Govtech, you'll be responsible for executing integrations with partners, making trade-offs between technical investments and product work, and collaborating with other engineers on system design. You'll help shape the product direction by developing a deep understanding of the customer and working closely with cross-functional partners from Product, Design, Science, and Operations.

Responsibilities:

  • Help establish roadmap and architecture based on technology and understanding of customer needs
  • Write well-crafted, well-tested, readable, maintainable code
  • 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 knowledge by giving brown bags, tech talks, and promoting tech and engineering best practices

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 NoSQL 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)
  • Nice to have: experience with machine learning and building LLM applications
  • Nice to have: 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
  • Flexible paid time off policy
  • Subsidized commuter benefits and Lyft ride credits

Skills

Nice to have

Ready to apply?

You apply with the employer directly. Their original posting is here: https://job-boards.greenhouse.io/lyft/jobs/8894909002

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