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EngRadar

Software Engineer, Growth Platforms

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 20, 2026
Experience: 3–5 years of software engineering experience with a history of designing & shipping backend features in production environments
Posting language: English
Posted: Oct 21, 2026

Original job description

EngRadar / Lyft

Software Engineer, Growth Platforms

Lyft

Lyft is a transportation company that operates a ride-hailing platform and is pioneering autonomous vehicle fleet management through its subsidiary Flexdrive.

Lyft is the employer - EngRadar is a job radar, not a recruiter. We track this posting from their own careers page and send you straight there; we never handle applications or CVs.

Toronto, Canada Posted today mobilityautonomous vehicles

Apply directly →

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.

Growth teams are at the heart of our products and decision-making to drive business growth. 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 can build & own innovative applications, passionate about solving problems with distributed computing in building reliable systems, and is excited about working in a fast-paced, innovative, and collegial environment.

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 build and improve the quality and efficiency of the various growth platforms & tools that are critical for Lyft.

As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.

As a Software Engineer on Growth Platforms, you will be responsible for sound technical execution of projects through hands-on development, quality-assurance, and prototyping along with making tradeoffs between technical investments and product work, and collaborating with other engineers on system design. You will help shape the product direction by developing a deep understanding of the customer and working closely with cross-functional partners from Product, Design, Science, and Operations. You will work with a group of talented engineers and help the team to deliver significant business impact. If you enjoy collaborating with technical and nontechnical partners in a fast-moving space with real-world impact, this is the role for you.

Responsibilities

Design and implement backend features end-to-end with clear ownership, delivering well-scoped work from technical design through to production with moderate guidance from senior engineers
Write clean, reliable, well-tested code that meets team standards and holds up in code review
Participate actively in code reviews, giving specific and constructive feedback while continuing to develop your own review instincts
Debug and resolve issues across backend services including performance bottlenecks, reliability problems, and data integrity issues
Collaborate with product managers, designers, and partner engineering teams to clarify requirements and surface technical constraints early
Contribute to technical discussions and help evaluate implementation approaches for new features
Write unit and integration tests for your own code and develop familiarity with the team's broader testing and observability practices
Address technical debt and make incremental improvements to existing services as part of regular development work
Participate in on-call rotations, respond to production incidents, and support teammates in mitigating customer-impacting events
Communicate progress, blockers, and tradeoffs clearly within the team

Experience

3–5 years of software engineering experience with a history of designing & shipping backend features in production environments
BS/MS in Computer Engineering, Computer Science, or related field, or equivalent work experience.
Strong proficiency in one or more backend languages (Go, Python, Java, or similar); experience with Python is a plus, with a solid understanding of performance and reliability fundamentals
Solid working knowledge of distributed systems concepts - microservices, REST and/or gRPC APIs, message queues, and async processing patterns
Familiarity with relational and NoSQL databases, including data modeling, querying, and basic indexing and performance considerations
Experience with observability tooling - logging, metrics, and alerting - and a developing instinct for how to make systems debuggable in production
Comfortable working with cloud infrastructure (AWS, GCP, or similar) at a feature level, with a growing understanding of how services are deployed and operated
Experience writing and maintaining unit and integration tests with a focus on reliability and regression prevention
Familiarity with Git workflows, code review processes, and CI/CD pipelines
Ability to scope and break down moderately complex tasks independently
Good communication skills and a collaborative approach to problem-solving
Nice to have: experience with machine learning and building LLM applications
Nice to have: proficiency in AI tools.

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.

Posted by Lyft on their own careers page - you apply directly, no recruiter in between. View original / apply →

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More about this job

Responsibilities

Design, build, test, and maintain backend features and growth platform services, including systems for incentives and messaging. Collaborate with product and engineering partners, participate in design and code reviews, resolve production issues, and support on-call operations.

Requirements

Requires 3–5 years of software engineering experience shipping backend features, plus a bachelor's or master's degree in computer engineering, computer science, a related field, or equivalent experience. Candidates should have proficiency in a backend language, knowledge of distributed systems, databases, cloud infrastructure, testing, observability, and CI/CD, along with communication and task-scoping skills.

Skills

Backend Development
Go
Python
Java
Distributed Systems
Microservices
REST APIs
gRPC
Message Queues
Asynchronous Processing
Relational Databases
NoSQL Databases
Cloud Infrastructure
Unit Testing
Integration Testing
Observability

Benefits

Extended Health Coverage
Dental Coverage
Life Insurance
Disability Benefits
Mental Health Benefits
Family Building Benefits
Child Care Benefits
Pet Benefits
Health Care Savings Account
RRSP With Company Match
Flexible Paid Time Off
Paid Parental Leave
Subsidized Commuter Benefits
Lyft Ride Credits

Visa sponsorship

Not detected in the job text

Keywords

Backend Engineering
Growth Platforms
Incentives
Messaging Systems
Go
Python
Java
Distributed Systems
Microservices
REST APIs
gRPC
Message Queues
Asynchronous Processing
Relational Databases
NoSQL Databases
Data Modeling
AWS
GCP
Logging
Metrics
Alerting
Unit Testing
Integration Testing
Git
Code Review
CI/CD
Machine Learning
LLM Applications
On-Call Operations
Cloud Infrastructure

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