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Added 12 mins ago
MA
Software Engineer
Milya AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
…design, build, and maintain back-end services and APIs that support products like the AI dental scribe and virtual receptionist. Day-to-day responsibilities include implementing new…
Added 3 hours ago
A
Senior AI and Agentic Developer
Accenture
Toronto, ON
- Full-time
As an Advanced AI, Large Language Model and Agentic AI Developer/Consultant, you will build production-grade AI applications that transform enterprise workflows. You will translate business…
Added 5 hours ago
A
Forward Deployed AI Engineer - Senior Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI…
Added 10 hours ago
M
Cloud Solution Architect - AI Apps - Full-time LOA backfill
Microsoft
Calgary, AB · Vancouver, BC
- Full-time
Drive growth in cloud and support consumption by identifying opportunities to improve customer success outcomes, helping customers maximize their Microsoft investments, and resolving…
Added 10 hours ago
H
Consultant Business Systems
HSBC
Toronto, ON
- Full-time
The team needs an experienced IBM i (iSeries / AS400) Developer/ Support person who is a highly motivated individual with positive and proactive attitude, confident to interact directly…
Added 11 hours ago
H
Senior Java Engineer - Kafka & Distributed Systems
Hays
Toronto, ON
- Contract
We’re seeking an experienced Senior Java Engineer - Kafka & Distributed Systems with strong Core Java skills, proven expertise in data streaming (e.g., Apache Kafka, Apache Flink), and…
Added 12 hours ago
P
Senior Software Engineer - Java/React
PointClickCare
Mississauga, ON
- Full-time
Strong track record building and shipping production software in modern languages
Added 12 hours ago
P
Principal Software Engineer
PointClickCare
Mississauga, ON
- Full-time
Strong track record building and shipping production software in modern languages
Added 13 hours ago
P
Principal Software Engineer
PointClickCare
Mississauga, ON
- $142,700 to $178,400 CAD / year
- Full-time
Strong track record building and shipping production software in modern languages
Added 13 hours ago
P
Senior Software Engineer - Java/React
PointClickCare
Mississauga, ON
- $130,100 to $162,600 CAD / year
- Full-time
Strong track record building and shipping production software in modern languages
Added 13 hours ago
C
Specialist Software Development-CA
CN
Quebec, QC
- Full-time
…technical design, and for the development, implementation and support of the application. The specialist leverages modern software tools, including AI-assisted development technologies, to…
Added 13 hours ago
C
Product Owner - Agentic
CIBC
Toronto, ON
- Full-time
…technology partners to move use cases from proof of concept into production. You’ll balance strategic thinking with delivery execution, translating complex contact centre opportunities into…
Added 14 hours ago
Software Engineer, Backend
Lyft
Toronto, ON
…Software Engineers, learning from senior engineers while shipping production code that impacts systems across the entire…
Added 14 hours ago
JG
Java SpringBoot with GW
J&M Group
Toronto, ON
- Full-time
Seeking an SRE / Software Engineer with strong Java or object-oriented programming experience to improve application reliability, automate operational tasks, and support production systems.
Added 14 hours ago
C
Java Developer - Officer
Citi
Mississauga, ON
- Full-time
The Java Developer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination…
Added 14 hours ago
SP
Software Engineering SMTS
Salesforce Partner Canada
Vancouver, BC
- Full-time
…high-impact architectural evolution with direct consequences at production…
Added 15 hours ago
Lead Full Stack Engineer
Scotiabank
Toronto, ON
Support production issues and handle escalations during Release cycles as needed.
Added 15 hours ago
Co-op DevOps - Winter 2027
Global Relay
Halifax, NS
As a DevOps engineer you will be responsible for the reliability and smooth operation of production and test environments and build automation to improve reliability and efficiency of code…
Added 15 hours ago
GR
Co-op DevOps - Winter 2027
Global Relay
Halifax, NS
- $36,000 to $56,000 CAD / month
- Full-time
As a DevOps engineer you will be responsible for the reliability and smooth operation of production and test environments and build automation to improve reliability and efficiency of code…
Added 15 hours ago
US
Software Engineer (Core Java, Market Risk)
United Software Group Inc
Montreal, QC
- Contract
We’re looking for an Applied AI Engineer to join a market risk engineering squad. You’ll build and support core components of a Market Risk platform in Core Java, use AI tools to power…
Added 15 hours ago
I
Staff Software Developer
Improving
Vancouver, BC
- Full-time
A Staff Developer at Improving Vancouver is a go-to for a one or more technologies - not necessarily having all the answers as much as being able to navigate the ecosystems of their area(s)…
Added 15 hours ago
M
Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
…to deliver secure, reliable and user-centred solutions that support business…
Added 16 hours ago
F
Senior Software Engineer (AI & Full Stack)
Fable
Remote, Canada
- $130,000 to $150,000 CAD / year
- Full-time
- Remote
Participate in production support, incident response, root cause analysis, and operational improvements.
Added 16 hours ago
TC
Java Spring Boot Developer
Tata Consultancy Services
Canada
- Full-time
We are seeking an experienced Java Developer with strong expertise in Java, Spring Boot, REST APIs, and Struts, along with hands-on exposure to Generative AI and AI-enabled application…
Added 16 hours ago
N
Software Developer - Cloud Platform
Nakisa
Montreal, QC
- Full-time
As a Software Developer on our Platform Engineering team, you will help design, build, and maintain the cloud-native services and tools that power Nakisa's product portfolio for Fortune…

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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