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Added 2 months ago
M
Manager, Ecommerce Product Analytics
McAfee
Waterloo, ON · UNAVAILABLE, Ontario
- Full-time
McAfee's Product Analytics team partners with product, engineering, and go-to-market functions to drive data-informed decisions across the business. We build the measurement frameworks,…
Added 4 months ago
SD
Software Developer – Back End
Symbiotic Digital
Toronto, ON · Downtown Toronto (Ryerson), Ontario
- Contract
of data engineering (ETL/ELT, Azure data services) and observability
Added 1 month ago
M
Senior Software Engineer
Morningstar
Toronto, ON
- Full-time
As a Senior Software Engineer, you will work closely with product owners, engineering teams, and technical leads on our next generation data feed platform. This role is primarily focused on…
Added 2 months ago
AN
Senior/Lead Software Engineer, Network Systems
Arista Networks
Vancouver, BC
- Full-time
Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of…
Added 2 months ago
OG
Innovation Analyst
Onni Group of Companies
Vancouver, BC
- Full-time
The path from here is real. Analysts on this team are expected to grow into product and engineering ownership, move into a portfolio company as an operator, or keep building inside Onni…
Added 3 months ago
B
Senior Analyst, Application Integration
Brookfield
Toronto, ON
- Full-time
Bachelor's degree in Computer Science, Engineering, Information Management, Data Analytics or related discipline.
Added 3 months ago
X
Software Development Manager
Xanadu
Toronto, ON
- $150,000 to $190,000 CAD / year
- Full-time
…While a technical background is required to effectively guide engineering delivery, no quantum computing experience is required for this…
Added 3 months ago
LI
Lead Engineer
LanceSoft, Inc.
Montreal, QC · Greater Montreal Metropolitan Area
- Contract
…compliance, cybersecurity, risk, vendor teams, and internal engineering groups to deliver secure, scalable, reliable, and well-governed technology solutions. The role requires a strong…
Added 3 months ago
UM
Senior AI Data Developer
Ubisoft Montréal
Montreal, QC
- Full-time
…Architect, application teams, and business stakeholders to deliver data and artificial intelligence solutions that make processes and systems…
Added 3 months ago
D
Developer
DCM
Mississauga, ON
- $65,149 to $81,436 CAD / year
- Full-time
As a Developer, you’ll help build, test, and support data-driven output programs for clients across banking, financial services, utilities, insurance, and pension sectors. You'll gain…
Added 2 months ago
Senior Software Engineer, Places and Search
Lyft
Toronto, ON
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…
Added 2 months ago
Cloud Network Engineer - Staff
OpenTable
Toronto, ON
…culture of automation, monitoring, and improvement for all engineering systems and can deliver exceptional quality in a dynamic, agile environment, we'd like to meet you. This posting is…
Added 2 months ago
[VO2 Canada] -Ingénieur.e IA / LLM – Missions Ponctuelles
VO2 Group
Montreal, QC
✔️ Jusqu’à la réalisation à l’échelle, grâce à une expertise reconnue en business & tech, data et IA 🤖✨
Added 2 months ago
Senior Machine Learning Engineer, Growth
HelloFresh
Toronto, ON
Proven experience engineering robust data architectures that reliably process and combine diverse data formats, ranging from structured offline conversion data to unstructured multimedia…
Added 2 months ago
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Senior Manager Data Engineering
BMO
Toronto, ON · SCC
- Full-time
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights…
Added 2 months ago
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Principal Cloud Security Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
Collaborate with data science and AI engineering teams to integrate security controls into MLOps pipelines, ensuring model integrity, access controls, and auditability
Added 2 months ago
A
Senior Principal Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
GET Engineering is seeking an experienced Senior Principal Engineer – AI and Engineering Excellence to lead the technical strategy and evolution of our cloud platform, developer experience,…
Added 1 month ago
Pyrometallurgy Engineering Trainee
Hatch
Mississauga, ON
Work in a multi-disciplinary engineering team environment, with focus on assisting the process team
Added 3 months ago
AA
Software Developer III, Vehicle Intelligence
ACV Auctions
Toronto, ON
- Full-time
The Software Developer III will work on a cross-functional agile team in operational tools, product, or infrastructure. You will work alongside software and production engineers to build…
Added 3 months ago
VH
Senior Engineering Manager, Software
Verto Health
Remote, Canada
- $150,000 to $200,000 CAD / year
- Full-time
- Remote
Verto Health is a health technology company solving healthcare’s most complex data fragmentation and interoperability challenges. Our patented, AI-enabled platform ingests structured and…
Added 3 months ago
C
Staff Software Engineer
Clutch
Toronto, ON
- $205,000 CAD / year
- Full-time
…are built. Traditional handoffs between product, design, and engineering are giving way to smaller, faster teams where builders can take ideas from concept to production in days instead of…
Added 3 months ago
T
Senior Backend / Platform Engineer
TravelAI
Remote, Canada
- $180,000 to $200,000 CAD / year
- Full-time
- Remote
The initial build phase is being delivered with an external engineering partner. We are hiring two senior engineers to take ownership of the platform: you will work alongside the partner…
Added 3 months ago
T
Senior Backend / Platform Engineer, Forward Deployed
TravelAI
Remote, Canada
- $180,000 to $200,000 CAD / year
- Full-time
- Remote
The initial build phase is being delivered with an external engineering partner. We are hiring two senior engineers who will work closely together and back each other up across the…
Added 3 months ago
RE
Développeur.se sénior.e d’outils /Senior Full Stack Developer, AI & Tools (Apex Legends)
Respawn Entertainment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Job Title: Senior Full Stack Developer, AI & Tools (Apex Legends)
Added 2 months ago
P
Deals Value Creation Analytics Senior Associate
PwC
Toronto, ON · Montreal, QC
- Full-time
Experience integrating disparate data sources and structuring, cleansing, and transforming data using tools such as Alteryx, SQL, Python, Databricks, or Power Query

Lyft

Senior Software Engineer, Places and Search

Toronto, ON, Canada

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Applications open in a new tab.

Job details

Experience: 5+ years of software engineering/production infrastructure industry experience
Posting language: English
Posted: Sep 4, 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.

Our mission depends on having a digital representation of the physical world - a map with all routing related (real-time) information. This is what makes Lyft different from many products: our products don’t just facilitate online interactions, they facilitate dynamic, real-world ones. Without mapping services, none of these real world interactions between people and transport can happen.

We are hiring a Senior Software Engineer to join our Pickup, Places and Search team within the Mapping organization that is responsible for building, enhancing and maintaining the Rider and Driver product for the Pickup/Drop off Experience. This team supports the backbone of Lyft’s search system, supporting millions of rides by helping our riders and drivers connect and reach their destination. Our focus is to ensure the pickup/dropoff experience is seamless by enhancing guidance and routing as well as the rider experience. Additionally the team uses map data and other signals to create new product experiences in collaboration with teams across Lyft. This team has a history of enabling rich and creative features that directly influence the product for all of our users. We constantly innovate and incorporate cutting-edge technologies to make the lives of our community more enriched.

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.

Apply About employer

More about this job

Responsibilities

Drive high-impact projects and lead backend initiatives to enhance the pickup, places, and search experience for riders and drivers. Collaborate with cross-functional teams to design, launch, and maintain scalable systems while mentoring team members and promoting engineering best practices.

Requirements

Requires a BS/MS in Computer Science or related field with at least 5 years of experience in software engineering and production infrastructure. Candidates must have experience designing and running large-scale distributed systems and working with public cloud platforms.

Skills

Software engineering
Distributed systems
Backend development
Go
Python
Cloud platforms
AWS
GCP
Microsoft Azure
Database management
NoSQL
System architecture
Code review
Mentoring
Fault-tolerant systems
Scalability

Benefits

Extended health and dental coverage
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
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 Engineering
Distributed Systems
Go
Python
AWS
GCP
Microsoft Azure
NoSQL
Relational Databases
Mapping Services
Routing
Search Systems
Backend
Infrastructure
Fault-tolerant
Scalability
Architecture
Mentoring
Product Development
Data Science
Analytics
Operations
Rideshare
Hybrid Work
API

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