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Added 4 days ago
M
Senior Business Systems Analyst
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Technical Literacy: REST APIs and integration patterns; the ability to read OpenAPI or Swagger specifications; and sufficient understanding of system and data architecture to assess…
Added 4 days ago
RC
Supervisor, Data Architect
RSM Canada
Toronto, ON
- Full-time
Proven experience with major cloud platforms such as Microsoft Azure, AWS or GCP
Added 4 days ago
Senior AI Engineer, IT Solutions 1 1 1
Celestica International LP
Toronto, ON
…will be a key liaison between business stakeholders and the technical AI team, translating complex business challenges into scalable artificial intelligence and machine learning solutions.…
Added 4 days ago
NA
Data and Insights Analyst
Northern Alberta Institute of Technology
St. Catharines, ON · Main Campus
- Full-time
…incorporate requirements into projects, managing own work in Azure DevOps and delivering accurate work to committed…
Added 4 days ago
Software Engineer, Backend
Lyft
Toronto, ON
Contribute to technical debt reduction and technology modernization efforts
Added 4 days ago
HI
Senior Data Science Developers
HRbrain Inc.
Toronto, ON
- Full-time
The candidates will perform Data Science Developer work by creating, enhancing, maintaining, supporting, and sustaining existing pipelines, analytics models, and data products
Added 4 days ago
HI
DevSecOps Engineers
HRbrain Inc.
Toronto, ON
- Full-time
This as opposed to the rest of the teams in the area, is *hands on technical* work. This includes hands on troubleshooting, strong familiarity with Linux, working with OCP (OpenShift…
Added 4 days ago
HI
Developer
HRbrain Inc.
Toronto, ON
- Full-time
– Collaborate with product and technical teams to align on requirements and deliverables
Added 4 days ago
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Manager, DevSecOps
BCI
Victoria, BC
- $125,000 to $150,000 CAD / year
- Full-time
…for developing, implementing, and continuously improving a technical DevSecOps practice. Acting as the bridge among development, operations, and cyber security teams, the Manager drives…
Added 4 days ago
GL
Senior Security Engineer (Palo Alto)
goeasy Ltd.
Mississauga, ON
- Full-time
The Senior Security Engineer is a hands-on technical role responsible for implementing, operating, and improving security platforms across on-premises, cloud, and hybrid environments. The…
Added 4 days ago
NV
Microsoft Azure Administrator (ID#5603)
New Value Solutions
Vancouver, BC · Greater Vancouver Metropolitan Area
- Contract
New Value Solutions, a national IT consulting company, is seeking a Microsoft Azure Administrator/Developer to support the deployment, development, integration, and administration of…
Added 4 days ago
GL
Senior IT Security Advisor, Product Security
goeasy Ltd.
Mississauga, ON
- Full-time
…operational environments. The ideal candidate brings strong technical depth, practical security risk management experience, and the ability to assess complex environments while enabling…
Added 4 days ago
Systems Administrator-GCGCON
Great Canadian Entertainment
Toronto, ON
…activities. The Systems Administrator collaborates with senior technical staff, project teams, vendors, and business stakeholders to implement infrastructure solutions, support operational…
Added 4 days ago
HI
Intermediate Data Analyst
HRbrain Inc.
Toronto, ON
- Full-time
…skills, effective communication, and the ability to translate technical findings into business-relevant…
Added 4 days ago
B
AI Software Engineer
Bombardier
Dorval, QC
- Full-time
Engage with business stakeholders to gather requirements, incorporate feedback, and translate them into effective technical solutions.
Added 4 days ago
SC
Développeur Python IA (Senior)
SII Canada
Montreal, QC
- Full-time
Maîtrise des plateformes Cloud telles qu’AWS SageMaker, Azure ML ou GCP Vertex AI
Added 4 days ago
TC
Sr BizTalk Developer
Tata Consultancy Services
Mississauga, ON
- $90,000 to $110,000 CAD / year
- Full-time
We are seeking an experienced Senior BizTalk Developer to design, develop, maintain, and support enterprise integration solutions using Microsoft BizTalk Server. The role requires strong…
Added 4 days ago
IS
Tier 2 I.T. Administrator
IMP Solutions
Halifax, NS
- Full-time
…performing optimally. The successful candidate will bring strong technical expertise, excellent customer service skills, and a proactive approach to…
Added 4 days ago
S
Databricks Partner Solutions Leader
Slalom
Calgary, AB
- Full-time
You will help shape high-impact pursuits, bring technical clarity to complex client problems, and design solutions that connect Databricks’ Data Intelligence Platform with Slalom’s broader…
Added 4 days ago
SP
Software Engineering SMTS
Salesforce Partner Canada
Vancouver, BC
- Full-time
Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms such as AWS, GCP, Azure, or Alibaba
Added 4 days ago
IF
Senior Developer
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Act as a technical champion by making complex technology concepts accessible to teams and collaborating with specialized teams, particularly in developer experience, security,…
Added 4 days ago
KA
Analytics Engineer
Krux Analytics
Calgary, AB
- Full-time
Provide technical guidance on semantic layer design and analytics best practices
Added 4 days ago
M
Manager Engineering
Manulife
Waterloo, ON
- Full-time
…solutions that support business objectives. You will translate technical and business requirements into product and software development roadmaps, enable incremental delivery, and build an…
Added 4 days ago
CH
Senior Data Warehouse Developer
Calgary Homeless Foundation
Calgary, AB
- Full-time
Reporting to the Manager, Data Analytics & Business Intelligence, the Senior Data Warehouse Developer is responsible for developing and optimising CHF’s Data Warehouse, and associated…
Added 4 days ago
C
Cloud Expert
Computronix
AB
- Full-time
PC3 is the cloud platform behind solutions our clients depend on. The team works across Azure infrastructure, Kubernetes, infrastructure as code, deployment automation, networking,…

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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