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Software Engineer, Planned Pricing

Lyft
Toronto, CAN
Full-time
Entry · 1+ years experience
Hybrid
CAD 108000-135000 yearly / year
Discovered 3 weeks ago
PythonGolangAWS

Full Job Posting

Responsibilities:

  • Design, develop, deploy, monitor, operate and maintain existing or new elements of our systems and infrastructure
  • Collaborate with engineers and partners in science & product to drive projects from inception, specification, execution, to launch
  • Write well-crafted, well-tested, readable and maintainable code
  • Participate in code reviews to ensure code quality and distribute knowledge
  • Design and own the way pricing data is consumed, stored, and shared with the entirety of Lyft
  • Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices
  • Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions

Experience:

1 - 3 years of software engineering industry experience

BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience

Extensive experience in object-oriented programming (ideally Python or Go)

Write clear, scalable and clear design documentation

Experience in backend software development of large-scale distributed systems and concurrency

Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners

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.

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