Software Engineer, Pricing (Backend)

Lyft; Toronto; On-site; CAD 108,000 - 148,000; Full time

Job summary

An innovative firm is seeking passionate engineers to enhance the transportation experience through cutting-edge technology. Join a dynamic team responsible for optimizing pricing and driver earnings, while tackling complex challenges in distributed computing and machine learning. This role offers the chance to work on impactful projects that directly influence customer satisfaction. With a focus on collaboration and technical excellence, you'll contribute to a culture that values diversity and inclusion. If you're excited about creating reliable solutions in a fast-paced environment, this opportunity could be your next great adventure.

Benefits

Extended health and dental coverage

Mental health benefits

Family building benefits

Child care benefits

Pet benefits

Health Care Savings Account

RRSP plan

Flexible paid time off

18 weeks paid time off for new parents

Subsidized commuter benefits

Qualifications

• 2+ years of software engineering experience in object-oriented programming.
• Strong skills in Python or GoLang and backend development.

Responsibilities

• Drive high-impact projects for the best user experience.
• Lead features from idea to execution and launch.

Skills

Python

Golang

Distributed Systems

Concurrency

Communication Skills

Education

BS/MS in Computer Engineering

Relevant Work Experience

Tools

AWS

Job description

At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

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 centrepiece 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:

• Drive high-impact projects and innovate new solutions to provide the best user experience.
• Independently lead features from idea to positive execution and launch.
• Unblock, support and communicate with internal partners to achieve results.
• 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, as well as on call rotations.
• Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices.

Experience:

• BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience.
• 2+ years of software engineering industry experience.
• Extensive experience in object oriented programming, ideally in GoLang or Python.
• Experience in backend software development of 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 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.

Lyft proudly pursues and hires a diverse workforce. 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 now if you wish to make such a request.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. 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 $148,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.