Software Engineer, Fulfillment

Lyft; Toronto; On-site; CAD 108,000 - 135,000; Full time

Benefits offered by this job

Extended health and dental coverage

Mental health benefits

Flexible paid time off

RRSP plan with company match

Subsidized commuter benefits

Job summary

Lyft in Toronto is seeking a Software Engineer to collaborate with teams and lead impactful projects in a fast-paced environment. The role requires 3+ years of experience, strong knowledge in software engineering practices, and a passion for solving technical challenges.

Lyft offers extensive benefits including health coverage, flexible paid time off, and supportive policies for new parents. This hybrid position requires in-office attendance at least 3 days a week, with opportunities for remote work up to 4 weeks annually.

Qualifications

• 3+ years of software engineering industry experience.
• Experience designing and debugging fault-tolerant systems.
• Solid knowledge of relational and NoSQL databases.

Responsibilities

• Contribute to roadmap and architecture based on business needs.
• Write well-tested, readable, maintainable code.
• Share knowledge through brown bags and tech talks.

Skills

Object-oriented programming

Distributed systems

Cloud platforms

CI tools (Jenkins, Buildkite, etc.)

Education

BS/MS in Computer Engineering or related field

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.

The Fulfillment group, in Marketplace, at Lyft is responsible for determining what inventory can be reliably offered for a given rider session and reliably fulfilling rider requests. The group has a few sub teams that are responsible for generating feasible offers for riders, connecting rider requests with drivers to fulfill those offers and a demand and supply lifecycle platform that power great rideshare experience.

As a software engineer at Lyft, you'll collaborate with other software engineers and cross functions like product, data science and analytics to lead and execute large projects from idea to efficient execution. We're looking for a motivated Software Engineer who is passionate about solving challenging technical problems and is excited about working in a fast-paced, innovative and cross-functional environment where they will take on some of the most interesting and impactful problems in ridesharing.

Responsibilities:

• Contribute to the roadmap and architecture based on technology and business needs
• Write well-crafted, well-tested, readable, maintainable code
• Have a good grasp and ability to explain the various trade offs made in decisions
• Participate in code reviews to ensure code quality and distribute knowledge
• Build Features from tech specification to positive execution
• Proactively participate in resolving ongoing incidents
• Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results
• Share your knowledge by giving brown bags and tech talks

Experience:

• BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
• 3+ 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

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.