Software Engineer (Backend), Growth Platforms

lyft; Toronto; Hybrid; CAD 108,000 - 135,000; Full time

Benefits offered by this job

Extended health coverage

Mental health benefits

Family building benefits

Child care benefits

Lyft Health Savings Account

RRSP match

Flexible PTO

Paid parental leave

Commuter benefits

Job summary

Lyft in Toronto is seeking a Software Engineer to design, build, and operate large-scale distributed systems across Growth Platforms. You will collaborate with science, product, and engineering teams to deploy reliable, data-driven solutions and drive initiatives from design to production.

Ideal candidates have 3+ years in software engineering, experience with Python, Kubernetes, Docker, and cloud environments, plus a passion for ML-enabled growth features.

Qualifications

• BS/MS or equivalent in Computer Engineering, Computer Science, or related field
• 3+ years of software engineering experience
• Experience in backend software development of large-scale distributed systems and data infrastructure
• Understanding of distributed systems concepts (consistency, availability, etc)
• Experience with Kubernetes and container technologies
• Familiar with Python and cloud environments (AWS/GCP/Azure)
• Experience with AI/ML like model integration is a plus

Responsibilities

• Design, develop, deploy, monitor, operate and maintain existing or new elements of our systems and infrastructure
• Collaborate with engineers and partners in science & product to drive projects from inception, specification, execution, or to launch
• Build and operate large-scale distributed systems
• Help establish roadmap and architecture based on technology and our needs
• Analyze internal systems and processes and locate areas for improvement / automation
• Write well-crafted, well-tested, readable, maintainable code
• Unblock, support and communicate with internal partners to achieve results
• Share knowledge by giving brown bags, tech talks, and evangelizing best practices

Skills

Distributed systems concepts

Python programming

Education

BS/MS in Computer Engineering/CS

Tools

Docker

Kubernetes

Python

AWS

GCP/Azure

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.

Marketplace teams are at the heart of our products and decision-making. We’re looking for passionate, driven engineers to build systems that empower our users (both Drivers and Riders) to make the most effective use of Lyft’s products and experiences by making them more predictive, personalized, and adaptive. We’re looking for someone who is passionate about solving problems with distributed computing, ML, data alongside building reliable systems, and is excited about working in a fast-paced, innovative, and collegial environment.

As a Software Engineer, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance the platform offerings. Your work will have a major impact on several areas of the business.

We are looking for candidates who are self starters and have a proven track record of delivering software solutions that can solve critical business needs. The candidate should be able to dive deep into any problems with lots of ambiguity and build a technical solution to solve it. They should be willing to take ownership of a project or a feature and be able to drive it from design to implementation.

The Growth Platforms team owns both the Incentives & Messaging systems for Lyft. These systems determine & send the right messaging and/or incentives to the right user at the right time. We work with lyft-wide engineering teams including rider & driver side, marketing, and product management to adapt our services and the platform offerings to be able to enable growth across Lyft. You will gain comprehensive knowledge of Lyft's internal services and operations and adapt them to meet the growth needs. You will have the opportunity to improve the quality and efficiency by having optimizations via machine learning models to perform decisions at various critical aspects of the platform.

Responsibilities:

• Design, develop, deploy, monitor, operate and maintain existing or new elements of our systems and infrastructure
• Collaborate with engineers and partners in science & product to drive projects from inception, specification, execution, or to launch
• Build and operate large-scale distributed systems
• Help establish roadmap and architecture based on technology and our needs
• Analyze our internal systems and processes and locate areas for improvement / automation
• Write well-crafted, well-tested, readable, maintainable code
• Unblock, support and communicate with internal partners to achieve results
• Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices

Experience:

• 3+ years of software engineering industry experience
• BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
• Experience in backend software development of large-scale distributed systems, and/or experience with data infrastructure
• Understanding of distributed systems concepts and principles (consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms, etc)
• Experience working with kubernetes and container technologies (e.g. Docker, cri-o, etc)
• Familiar with using Python and cloud-based environments such as AWS/GCP/Azure
• Experience with AI/ML like Model integration or using ML frameworks will be a plus

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.