Senior Software Engineer, Pricing

Lyft; Toronto; Hybrid; CAD 136,000 - 187,000; Full time

Job summary

A leading rideshare company in Toronto is looking for a motivated Software Engineer to tackle challenging technical problems in a collaborative environment. You will work on improving driver dispatch and own mission-critical systems. Requires 5+ years of experience and a strong background in object-oriented programming. Benefits include health coverage, flexible paid time off, and child care support.

Benefits

Extended health and dental coverage

Mental health benefits

Access to a Health Care Savings Account

Flexible paid time off

Subsidized commuter benefits

Qualifications

• 5+ years of software engineering industry experience.
• Proficiency in object-oriented programming.
• Experience designing, debugging, and running fault-tolerant, highly available systems.

Responsibilities

• Collaborate with cross-functional teams on large projects.
• Improve driver dispatch to impact business-level goals.
• Own mission-critical parts of operations.

Skills

Object-oriented programming

Large-scale distributed systems

Cloud platforms (AWS, GCP, Azure)

CI tools (Jenkins, CircleCI)

Communication in English

Education

BS/MS in Computer Engineering, Computer Science, or related field

Tools

Golang

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.

The Fulfillment group, within the Marketplace at Lyft, is responsible for determining what inventory can be reliably offered for a given rider session and fulfilling rider requests. The group comprises several sub-teams that generate feasible offers for riders, connect rider requests with drivers, and maintain a demand and supply lifecycle platform that powers an exceptional rideshare experience.

As a software engineer at Lyft, you will collaborate with other engineers and cross-functional teams, such as product, data science, and analytics, to lead and execute large projects—from concept to efficient execution. We are looking for a motivated Software Engineer who is passionate about solving challenging technical problems and excited to work in a fast-paced, innovative, and cross-functional environment. In this role, you will tackle some of the most interesting and impactful problems in ridesharing.

The Matching team at Lyft is responsible for improving how drivers are dispatched, directly impacting business-level goals like increased driver utilization and lower fulfillment costs. This team defines new ride modes, tunes scoring and filtering decisions, applies geospatial (walking) and temporal (waiting) levers, and extends the time horizon for decision evaluation. If you are excited about algorithmic back-end systems and owning a mission-critical part of Lyft’s operations, this team is for you.

Key traits for success include being passionate about Lyft’s business and product, a quick learner, a collaborative mindset, and an eagerness to drive initiatives both within and across teams. You'll be joining a small, close-knit team with passionate, collaborative co-workers.

Experience:

• BS/MS in Computer Engineering, Computer Science, or a related field, or relevant work experience
• 5+ years of software engineering industry experience
• Proficiency in object-oriented programming
• Experience designing, debugging, and running fault-tolerant, highly available, large-scale distributed systems
• Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
• Experience with common CI tools (Jenkins, Buildkite, CircleCI, TeamCity), and proficiency in at least one of those tools
• Solid knowledge of distributed systems, relational and NoSQL databases
• Ability to communicate in English in writing, meetings, and presentations
• The Matching team owns services written in Golang

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 $136,000 - CAD $187,000. 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.