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Software Engineer, Planned Pricing

Join Lyft as a Software Engineer to enhance pricing strategies and improve the transportation experience for millions.

Location
Toronto, Canada
Compensation
CA$108k–CA$135k/yr
Level
mid
Type
full time · Hybrid

Posted by employer 1 day ago

First seen on Joblaze 2 hours ago

Last verified on the company career page 2 hours ago

Skills & Technologies

AWS Golang Python Flexible on stack

What you'll build

  • Design, develop, deploy, monitor, operate and maintain systems
  • Collaborate with engineers and partners in science & product
  • Write well-crafted, well-tested, readable and maintainable code
  • Participate in code reviews
  • Design and own the way pricing data is consumed, stored, and shared

Must have

  • 1 - 3 years of software engineering industry experience
  • Extensive experience in object-oriented programming (ideally Python or Go)
  • Experience in backend software development of large-scale distributed systems

Nice to have

  • Strong oral and written communication skills
  • Ability to collaborate with and influence cross-functional partners

Practical constraints

  • In-office at least 3 days per week

Requirements

Experience
1–3 years
Education
Bachelor's degree

Not disclosed in this posting: visa sponsorship.

Benefits

401k Match Commuter Benefits Flexible Paid Time Off Health Insurance Parental Leave

Joblaze summary

In this role, the Software Engineer on the Planned Pricing team at Lyft will focus on designing and maintaining systems that forecast and set prices in anticipation of demand. Proficiency in Python, Golang, and AWS is essential, along with experience in backend development and distributed systems. This position is ideal for early-career engineers who are eager to collaborate across teams and tackle complex data challenges. The team operates within a hybrid work model, emphasizing in-office collaboration to enhance project outcomes.

Joblaze insights

  • Listed today — first seen on Joblaze October 3, 2026. Last confirmed on Lyft's careers page October 3, 2026.
  • Starts above 8% of 12 comparable mid backend roles in Canada that list Python we track (median $93,373 across 4 companies). See Python salary trends

Quick facts

Is the Software Engineer, Planned Pricing role remote?
It's hybrid — Lyft expects some on-site time in Toronto, Canada.
What's the salary range?
Lyft lists CAD 108,000–CAD 135,000 for this role.
How much experience is required?
1–3 years of relevant experience for this Software Engineer, Planned Pricing role.
Where is the role based?
Lyft is hiring for this position in Toronto, Canada.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, Golang, Python.
What seniority level is this role?
Lyft targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Software Engineer, Planned Pricing role at Lyft.

From the original posting

Marketplace teams sit at the core of Lyft's products and decision-making, owning everything from rider pricing to driver earnings, incentives, and matching efficiency. We're looking for passionate, driven engineers who want to build systems that give riders and drivers the best possible transportation experience through prediction, adaptivity, and personalization — and who thrive in a fast-paced, high-impact environment solving distributed computing, ML, and data challenges.

The Planned Pricing team sits within Lyft's Marketplace org and is responsible for forecasting, planning, and setting prices ahead of demand — ensuring pricing strategy is proactive rather than purely reactive. We partner closely with Product & Science to design and implement pricing strategies that anticipate market conditions, balancing the needs of riders, drivers, and business goals. As an owner of a flow that shapes forecasting and long-term pricing decisions across the company, you'll tackle a wide range of problems — from large-scale distributed systems and data pipelines to experimentation and forecasting accuracy. If you're excited about playing a key role in demand/supply planning and improving the Lyft experience for millions of riders and drivers, this could be a great fit.

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.

Standard company text repeated across Lyft's postings is omitted here.

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