In this role, you'll collaborate with other engineering teams, product, data science, analytics, and operations on programs that empower us to iterate quickly, delighting our passengers and drivers with rideshare focused mapping experiences.
Responsibilities
Drive high-impact projects and innovate new solutions to provide the best customer experiences
Lead backend and cross functional projects to achieve long term goals as well as deliver short term roadmaps
Lead large features from idea to successful execution and launch
Own systems and components within the team and be accountable for their short term functionality and long term health
Participate in code and architecture reviews to ensure code quality and distribute knowledge, as well manage call rotations and proactively improving processes
Write well-crafted, well-tested, readable, maintainable code
Share your knowledge by giving brown bags, tech talks, mentoring others, 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
5+ years of software engineering/production infrastructure industry experience
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 working with databases, relational or NoSQL
Led a set of components or system from design to launch
It would be a huge plus to have
Proficiency with Go and Python
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 $136,000 - CAD $170,000, 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.
