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greenhouse

Software Engineer, GovTech

Lyft
Toronto, CAN
Mid · 3+ years experience
Onsite
Discovered 1 weeks ago
awsazuregcppython

Full Job Posting

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:

  • 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, etc.)
  • 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
  • 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 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.

Preferred Qualifications

  • 3+ years of software engineering experience with high-level programming languages; experience with Python and Go is a plus.
  • Nice to have: experience with machine learning and building LLM applications
  • Nice to have: proficiency in AI tools.
  • experience with machine learning and building LLM applications
  • proficiency in AI tools.

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