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Added 1 min ago
Business Systems Associate
L3Harris Technologies
ON · Waterdown, ON
Lead small to medium-sized IT/Operations projects using project management tools and methodologies Design test plans and conduct or support testing for new features and projects to ensure…
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Data Center Construction- Mid to Senior Project Manager
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5+ years of experience in construction project management with a thorough understanding of the building design and construction process.
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Enterprise Architect (Customer Experience & Digital Transformation)
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We are seeking a senior Enterprise Architect to lead the design and governance of end-to-end digital, data, and customer experience solutions.
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S
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- Full-time
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…the books accurately and on time. You’ll report to the Senior Manager, Data Engineering, and lead a team of five data and analytics…
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M(
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AG
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Lyft

Software Engineer, Growth Platforms

Toronto, ON, Canada

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Applications open in a new tab.

Job details

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

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.

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More about this job

Responsibilities

Design and implement backend features end-to-end while collaborating with cross-functional teams to improve growth platforms. Participate in code reviews, debug production issues, and contribute to technical design and system reliability.

Requirements

Requires 3–5 years of software engineering experience with a strong proficiency in backend languages like Go, Python, or Java. Candidates must have a solid understanding of distributed systems, cloud infrastructure, and database management.

Skills

Go
Python
Java
Distributed systems
Microservices
REST APIs
gRPC
Message queues
Async processing
Relational databases
NoSQL
Observability
Cloud infrastructure
CI/CD
Unit testing
Integration testing

Benefits

Extended health and dental coverage
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care and pet benefits
Health Care Savings Account
RRSP plan 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

Software Engineer
Growth Platforms
Backend
Distributed Computing
Microservices
Go
Python
Java
REST
gRPC
Message Queues
NoSQL
AWS
GCP
Observability
CI/CD
Git
Data Modeling
Reliability
Performance Tuning
Machine Learning
LLM
System Design
Prototyping
Technical Debt
On-call
Cross-functional Collaboration
Product Development
Data Integrity
API

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