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Added 3 days ago
GM
Senior QA (Candidate must know French)
Galactic Minds INC
Canada
- Contract
You will use Python to build automation frameworks that simulate thousands of real-time trades, ensuring our systems can handle market volatility. You will use complex SQL to deep-dive into…
Added 3 days ago
S
AI Engineer - Senior Consultant
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams…
Added 3 days ago
P
Data Science Intern
Plusgrade
Toronto, ON · CAN - Toronto
- Full-time
Working alongside data scientists, ML engineers, and data engineers under the guidance of the Senior Manager of Data Science, you will build and ship the developer tools and observability…
Added 3 days ago
P
Applied AI Engineer Intern
Plusgrade
Toronto, ON · CAN - Toronto
- Full-time
Working closely with a senior mentor, you will build and operate the production inference services that serve machine learning models across our partner ecosystem in real time. Your day to…
Added 3 days ago
A
Data Analytics Lead
Altis
Markham, ON
- $110,000 to $125,000 CAD / year
- Full-time
This role is ideal for an experienced data engineering professional who enjoys solving complex data challenges, working with large datasets, and building modern data solutions using SQL and…
Added 3 days ago
Senior Data Engineer
ZoomInfo Technologies LLC
Toronto, ON
Data observability tools such as Monte Carlo or Datadog, and AWS or GCP with Terraform
Added 3 days ago
II
Senior Data Scientist
Ipsos in Canada
Vancouver, BC
- $100,000 to $110,000 CAD / year
- Full-time
We’re looking for someone with a deep interest and expertise in data engineering and the dedication to apply that passion. We need someone with the technical expertise to expand and…
Added 3 days ago
II
Senior Software Engineer
Ipsos in Canada
Vancouver, BC
- $100,000 to $110,000 CAD / year
- Full-time
We’re looking for someone with a deep interest and expertise in data engineering and the dedication to apply that passion. We need someone with the technical expertise to expand and…
Added 3 days ago
MM
Oliver Wyman - Senior Lead AI Developer
Marsh McLennan
Toronto, ON · Montreal, QC
- Full-time
No two OW Quotient projects are the same. You’ll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Senior Lead AI Developer, you…
Added 3 days ago
RB
Senior Platform Automation Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
4+ years of professional software development and platform engineering in financial technology or financial services, with proven expertise in Python, DevOps, and multi-cloud automation.
Added 3 days ago
HI
Sr. Data Engineer
HRbrain Inc.
Toronto, ON
- Full-time
Technical criteria that’s needed is being strong with Informatica IICS, Snowflake, Python, AWS, technically broad experience of around 10 years. They will be working with batched reporting.
Added 3 days ago
I
Senior DevOps Engineer
iCOUNTER
Remote, Canada
- $136,000 to $170,000 CAD / year
- Full-time
- Remote
…architecting scalable, secure cloud environments, primarily on AWS; maintaining network designs that balance performance and security; leading the evolution of our CI/CD pipelines; and…
Added 3 days ago
V
Staff Information Security Engineer - Threat Detection & Response
Visier
Remote, Canada
- Full-time
- Remote
…surfacing the insights leaders need to plan, decide, and act with confidence in the moments that matter most. As the market leader in people analytics, workforce planning, organizational…
Added 3 days ago
M
Senior Software Engineer-C#
Morningstar
Toronto, ON
- Full-time
Morningstar is seeking a Senior Software Engineer (Backend) to design, build, and maintain scalable enterprise applications and APIs. The role focuses on backend development using C#, .NET,…
Added 3 days ago
A
Senior Principal Engineer
Autodesk
Toronto, ON
- 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 3 days ago
Senior AI Engineer, IT Solutions 1 1 1
Celestica International LP
Toronto, ON
Experience with Cloud AI Services (Azure AI Studio, AWS Bedrock, or Google Vertex AI [Preferred]).
Added 3 days ago
Software Engineer, Backend
Lyft
Toronto, ON
With over half a billion rides and counting, Lyft is solving hard problems at scale, leveraging Machine Learning to better serve our customers. The Machine Learning Platform (MLP) team is…
Added 3 days ago
AI Practise Lead (CCaaS)
Bell
Mississauga, ON
…data streaming, and helper/scripting languages (e.g., Node.js, Python) for serverless integrations (e.g., AWS…
Added 3 days ago
M
Senior Software Engineer-C#
Morningstar
Toronto, ON
- Full-time
Morningstar is seeking a Senior Software Engineer (Backend) to design, build, and maintain scalable enterprise applications and APIs. The role focuses on backend development using C#, .NET,…
Added 3 days ago
SC
Développeur Python IA (Senior)
SII Canada
Montreal, QC
- Full-time
…nous recherchons une personne expérimentée en développement Python, AI/ML et Generative AI afin de participer à la conception, au développement, à l’intégration et à l’optimisation de…
Added 3 days ago
Senior Specialist, Cloud Infrastructure Operations Engineering
CMHC - SCHL
Ottawa, ON · Toronto, ON · Montreal, QC
Join the Technology and Business Transformation team in the Senior Specialist, Cloud Infrastructure Operations Engineering position. In this position, you will be responsible for…
Added 3 days ago
F
Senior Software Engineer (AI & Full Stack)
Fable
Remote, Canada
- $130,000 to $150,000 CAD / year
- Full-time
- Remote
Fable is looking for a highly motivated Senior Software Engineer with deep backend expertise, strong full-stack development skills, and hands-on experience building AI-powered applications…
Added 3 days ago
R
Senior Platform Automation Engineer
RBC
Toronto, ON
- Full-time
4+ years of professional software development and platform engineering in financial technology or financial services, with proven expertise in Python, DevOps, and multi-cloud automation.
Added 3 days ago
Senior Cyber Defense Operations Analyst
Epic Games
Vancouver, BC
Epic's Security Operations Center protects one of the world's largest player communities, along with the people, infrastructure, and technology that support it. As a Senior CDO Analyst, you…
Added 3 days ago
PG
Senior Application Security Engineer
Paymentus Group Inc
Richmond Hill, ON
- Full-time
The Senior Application Security Engineer is responsible for helping secure the Paymentus SaaS platform by partnering directly with software engineering, product, cloud infrastructure,…

Lyft

Software Engineer, Backend

Toronto, ON, Canada

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Job details

Experience: 1+ years of backend engineering experience (internships included) working in any of these stacks: Python, Go, Java, etc.
Posting language: English
Posted: Nov 3, 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.

With over half a billion rides and counting, Lyft is solving hard problems at scale, leveraging Machine Learning to better serve our customers. The Machine Learning Platform (MLP) team is seeking a backend Software Engineer to help build and operate our platform, which supports real-time, online, and offline ML model execution, development, and iteration across Lyft. In this role, you will own well-defined tasks and contribute to features alongside a team of highly motivated Machine Learning and Software Engineers, learning from senior engineers while shipping production code that impacts systems across the entire business.

If you are interested in hands-on exposure to classical machine learning models and production ML systems at scale, with applications across each facet of the marketplace and business, we are searching for you.

If you are a creative and critical thinker with an interest in machine learning systems, eager to learn and grow as an engineer, and passionate about solving business problems using data in a dynamic, creative, and collaborative environment, we are searching for you.

Responsibilities:

Own well-defined tasks and contribute to features on the ML platform, seeking guidance from senior team members when needed
Develop reliable, performant, well-tested, readable, maintainable code that follows team coding standards and meets feature requirements
Participate actively in code reviews, both giving and receiving feedback
Monitor the stability and performance of your code after deployment, and proactively fix bugs and debug issues within your scope
Participate in the team's operational responsibilities, including on-call rotations and following through on postmortem action items
Contribute to technical debt reduction and technology modernization efforts
Write documentation for the code and tasks you work on, including runbooks where needed, and help improve onboarding materials
Participate in postmortems and planning discussions, providing input and feedback
Collaborate with cross-functional partners, including the Machine Learning Engineers and Data Scientists who build on the platform
Build your understanding of the ML platform and the tradeoffs behind its design by working closely with senior team members
Utilize AI tooling to accelerate development workflows.

Experience:

BSc/MSc in Computer Engineering, Computer Science, or a related field, or relevant work experience
1+ years of backend engineering experience (internships included) working in any of these stacks: Python, Go, Java, etc.
Experience with Linux
Nice to Have: Exposure to machine learning systems or ML serving/training/deployment infrastructure through coursework, projects, or work experience; familiarity with cloud providers (e.g. AWS, Azure, Google Cloud)
Nice to Have: Experience with AI assisted coding such as Cursor or Claude Code

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 $88,000 - CAD $110,000, 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

The backend engineer will develop and maintain reliable, performant code for the Machine Learning platform while collaborating with cross-functional teams. Responsibilities include monitoring system performance, participating in on-call rotations, and contributing to technical debt reduction.

Requirements

Candidates must have a degree in Computer Science or a related field, or equivalent work experience, along with at least 1 year of backend engineering experience. Proficiency in Python, Go, or Java and experience with Linux environments are required.

Skills

Backend engineering
Python
Go
Java
Linux
Machine learning
ML platform
Software development
Debugging
Code reviews
Technical documentation
Cloud computing
AWS
Azure
Google Cloud
AI tooling

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 Engineer
Backend
Machine Learning
ML Platform
Python
Go
Java
Linux
AWS
Azure
Google Cloud
Cursor
Claude Code
API
System design
Debugging
Code review
Technical debt
On-call
Postmortem
Data science
Scalability
Production code
Cloud infrastructure

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