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Added 4 mins ago
Claims Operations Governance & Solution Specialist
Tokio Marine Canada Ltd.
Toronto, ON
Full-time
We support Canadian businesses in taking smart risks by delivering practical insurance solutions and exceptional service through trusted broker partnerships.
Added 4 mins ago
Lead, Medical Laboratory Technologist
Northern Health - BC
Burns Lake, BC
Full-time
Under the general supervision of the Manager or designate, the Lead Medical Laboratory Technologist performs technical work related to laboratory test procedures, evaluates and verifies…
Added 4 mins ago
Dispatcher – Inspection & Services Division
Viking Fire Protection Inc.
Ottawa, ON
$26 to $34 CAD / hour
Full-time
Reporting to the Operations Manager, the Dispatcher plays a key role in coordinating service operations, supporting field technicians, and delivering an outstanding customer experience.
Added 4 mins ago
Supervisor, Surgical Services, Ambulatory Care, Obstetrics and Medical Device Reprocessing
Georgian Bay General Hospital
Midland, ON
$59.28 to $64.17 CAD / hour
Full-time
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Added 4 mins ago
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Full-time
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Lyft

Software Engineer, Pricing

Toronto, ON, Canada

Experience: 5+ years of software engineering industry experience
Posting language: English
Posted: Oct 2, 2026

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Original job description

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.

Marketplace teams are at the heart of our products and decision-making, owning everything from rider pricing to driver earnings, incentives, and efficient matching. We’re looking for passionate, driven engineers to build systems that empower our riders and drivers to have the best transportation experience possible through prediction, adaptivity, and personalization. We’re looking for someone who is excited about working in a fast-paced, innovative, and impactful environment to create reliable solutions to distributed computing, ML, and data problems.

The Pricing team is a centerpiece of Lyft’s Marketplace org, determining prices for all rideshare products and supporting new initiatives. We work with Product & Science to solve and implement complex pricing requirements, balancing the needs of riders, drivers, and the business goals. As an owner of one of the most critical flows in the company, you will work on a wide array of challenges such as latency-sensitive concurrency problems, large scale distributed systems, and experimentation. If you’re interested in playing a large part in demand / supply management and improving the Lyft customer experience, this could be a great fit for you.

Responsibilities:

Help define the roadmap and architecture based on technology and business needs
Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results
Lead projects of multiple people from idea to positive execution
Write clear, scalable and clear design documentation
Write well-crafted, well-tested, readable, maintainable code
Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions
Participate in code reviews to ensure code quality and distribute knowledge
Proactively participate in resolving ongoing incidents
Share your knowledge through tech talks, mentorship, and evangelizing appropriate tech and engineering best practices

Experience:

BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
5+ years of software engineering industry experience
Extensive experience in object oriented programming, ideally in GoLang or Python
Experience in backend software development of large-scale distributed systems and concurrency
Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
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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More about this job

Responsibilities

You will define the architecture and roadmap for pricing systems while leading projects from conception to execution. Additionally, you will write scalable code, participate in code reviews, and mentor team members to ensure high-quality engineering standards.

Requirements

Candidates must have at least 5 years of software engineering experience with expertise in Python or Golang and distributed systems. A bachelor's or master's degree in Computer Science or a related field is required, along with strong communication skills.

Skills

Python
Golang
AWS
Distributed systems
Machine learning
Data analysis
Concurrency
Software architecture
System design
Mentorship
Code review
Backend development
Object oriented programming
Problem solving
Communication

Benefits

Extended health and dental coverage
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
Pet benefits
Health Care Savings Account
RRSP plan with company match
Flexible paid time off
Paid parental leave
Subsidized commuter benefits
Lyft ride credits

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
Pricing
Marketplace
Distributed computing
ML
Data
Latency-sensitive
Concurrency
Experimentation
Python
Golang
AWS
Backend
Object oriented programming
Cloud platforms
GCP
Microsoft Azure
Architecture
Scalability
Mentorship
Tech talks
Engineering best practices
Rideshare
Demand management
Supply management

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