Software Engineer, Scheduled Rides

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.

Lyft needs experienced engineers from a scope of disciplines. As a Backend Engineer on Scheduled Rides, you will build new, differentiated products that improve riders' and drivers' experience with rideshare and make it easy to choose Lyft every time. Your role will be essential in ensuring Lyft's premium planned-rides offering is both dependable and a delightful user experience. On projects, you will work closely with mobile engineers, and engineers from different teams. The team collaborates closely with product, design, marketing to deliver business-critical initiatives and exciting new use cases.

Responsibilities:

Help establish roadmap and architecture based on technology and our needs

Write well-crafted, well-tested, readable, maintainable code

Participate in code reviews to ensure code quality and distribute knowledge

Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices

Can help lead large projects from idea to positive execution

Unblock, support and communicate with internal partners to achieve results

Experience:

Minimum 3-4 years of software engineering industry experience

Experience with object-oriented programming

Experience in distributed systems

Experience working with databases, relational and NoSQL

Familiarity with working in Python

Write clear, scalable and clear design documentation

Design, build and improve a set of team owned components

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.