Jobs in Canada

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Added 3 months ago
SF
Analyst – Business Intelligence & Data Analytics
Sapling Financial Consultants
Toronto, ON
- Full-time
Experience using programming languages (C#, R, Python, or other languages,) to manipulate data and draw insights from large data sets
Added 3 months ago
SF
Analyst – Financial Modelling & Due Diligence
Sapling Financial Consultants
Toronto, ON
- Full-time
Added 2 months ago
Data Platform Administrator (12-month contract)
ARC Resources Ltd.
Calgary, AB
Added 2 months ago
IDD Data & Analytics Specialist
Aecon
Toronto, ON
Experience with Power Automate, Python, DAX, Power BI datasets, and data extraction from platforms such as ACC, Aconex, ESRI, and SharePoint is considered an asset.
Added 2 months ago
Senior GCP Data Engineer
Capgemini
Mississauga, ON
Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam). GCP Expertise: Hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform. DevOps:…
Added 3 months ago
H
Android / Linux Networking - Software Eng
HP
Vancouver, BC
- Full-time
Comfortable reading and understanding C, C++, or Python source code to support troubleshooting, packet-flow analysis, and root-causes of network and protocol-related issues
Added 3 months ago
AG
Data Analyst
Adelphi Group
Toronto, ON
- Full-time
Fluency with data, analytics, and visualization technologies (we use SQL, Python, Tableau)
Added 2 months ago
GS
Senior Software Engineer
Guidewire Software
Mississauga, ON · Toronto, ON
- Full-time
Hands-on experience with JavaScript or TypeScript on the front end; experience with Python is a plus for tooling, automation, or data-related tasks.
Added 3 months ago
Ingénieur Data / Data Engineer
mthree Recruiting Portal
Montreal, QC
Added 3 months ago
TD
Senior Manager, Solutions Architecture
TELUS Digital
Remote, Canada
- $224,000 to $254,000 CAD / year
- Full-time
- Remote
Backend: APIs (NodeJS, Spring, .NET, Python), Cloud (AWS, Azure, GCP), Data Services/Systems (SQL, NoSQL, Kafka)
Added 3 months ago
E
Senior Backend Engineer, Entities
EvenUp
Toronto, ON
- $184,728 to $249,926 CAD / year
- Full-time
This is a hybrid role, 3x per week at our SF office three days per week
Added 3 months ago
C
Sr. Solutions Architect
Criteo
Toronto, ON
- Full-time
Experience with data, SQL, Python and analytical concepts, even if not the primary hands-on builder
Added 3 months ago
C
Global Logistics Data & Digital Transformation Analyst-EN
CAE
Montreal, QC
- Full-time
Added 3 months ago
Q-
DevOps - MLOps engineer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Proficiency in scripting (Bash, Python) and automation.
Added 3 months ago
EA
Site Reliability Engineer III
Electronic Arts (EA)
Toronto, ON
- Full-time
Experience writing code in Python, Golang, or Java.
Added 3 months ago
BS
Full Stack Developer
Birdseye Security Solutions
Mississauga, ON
- Full-time
This needs to be an AI-native developer. We are not looking for someone who has merely tried ChatGPT, Copilot, or Claude. You should have fundamentally changed how you develop software…
Added 3 months ago
Q-
Montréal [Hybrid] AI-Native Python Developer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC
- Full-time
We are looking for an AI-Native Developer (Python / AI-ML) for one of our clients.
Added 3 months ago
EA
Site Reliability Engineer III
Electronic Arts (EA)
Vancouver, BC
- Full-time
Experience writing code in Python, Golang, or Java.
Added 3 months ago
EA
Site Reliability Engineer III
Electronic Arts (EA)
Edmonton, AB
- Full-time
Experience writing code in Python, Golang, or Java.
Added 3 months ago
EA
Site Reliability Engineer III
Electronic Arts (EA)
Victoria, BC
- Full-time
Experience writing code in Python, Golang, or Java.
Added 3 months ago
C
C++ Developer (contract)
Capgemini
Toronto, ON
- Contract
3 days per week onsite - Toronto, ON
Added 3 months ago
J
Forward Deployed Engineer, Supply Chain
Jetson
Kitchener, ON
- Full-time
…get things into people's hands. You're fluent in TypeScript, Python, or other high-level language, comfortable with SQL, APIs, and cloud tooling, and you write code others can build on. You…
Added 3 months ago
F(
Commercial Intelligence Lead
FSi (Fresh Squeezed Ideas)
Toronto, ON
- Full-time
Added 3 months ago
J
Forward Deployed Engineer, Finance
Jetson
North Vancouver, BC
- Full-time
…get things into people's hands. You're fluent in TypeScript, Python, or other high-level language, comfortable with SQL, APIs, and cloud tooling, and you write code others can build on. You…
Added 3 months ago
D
Senior Benchmarking Researcher
D-Wave
Burnaby, BC
- $140,000 to $170,000 CAD / year
- Full-time
…role requires strong algorithmic intuition, proficiency in Python, and the ability to translate complex ideas into practical implementations. You’ll work at the forefront of quantum…

QUANTEAM - North America (RAINBOW PARTNERS Group)

DevOps - MLOps engineer

Greater Montreal Metropolitan Area, QC, Canada

Full-time

Apply on LinkedIn About employer

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Job details

Job type: Full-time
Experience: At least 5 years of experience in DevOps/SRE.
Posting language: English
Posted: Jul 28, 2026

Original job description

About the Company:

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specializing in Banking, Finance, and Financial Services. Guided by our core values of closeness, teamwork, diversity, and excellence, our team of 1,000 expert consultants, representing 35 different nationalities, collaborates across 10 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Geneva, Lisbon, Porto and Casablanca.

We are looking for a DevOps - MLOps engineer for one of our clients.

Missions

ABOUT THE JOB

DevOps Engineer with expertise in MLOps and mastery of vibe coding, able to build and maintain robust infrastructures for AI while automating deployments and ensuring the performance of production solutions.

CONTEXT AND ROLE OBJECTIVES

As part of IT Innovation projects, you will join the AI Factory/Innovation team as an AI DevOps Engineer. You will be responsible for designing, implementing and maintaining the infrastructures, CI/CD pipelines and environments required to deploy and operate AI solutions in production.

You will work in agile mode, closely with AI developers, Data Scientists, Solution Architects and the client's infrastructure teams. You will play a key role in the industrialization of AI solutions and the automation of deployment processes.

As an expert in vibe coding, you use generative AI tools (GitHub Copilot, Cursor, Claude, ChatGPT) to accelerate the creation of scripts, Infrastructure-as-Code configurations and CI/CD pipelines, and to quickly resolve production incidents.

RESPONSIBILITIES

Design and implement Cloud architectures for AI solutions (scalable, secure, optimized).
Deploy and manage Infrastructure as Code (Terraform, CloudFormation).
Implement CI/CD pipelines for applications and AI models.
Make expert use of vibe coding to generate scripts, configurations and automations.
Automate deployments and rollbacks (blue/green, canary).
Configure monitoring, alerting and observability for AI models in production.
Manage environments (dev, staging, production) and access control.
Optimize Cloud costs and performance (GPU, compute, storage).
Support developers on tooling and DevOps best practices.
Produce technical documentation of infrastructures and procedures.
Implement DevSecOps practices and security compliance.
Share MLOps and vibe coding best practices with the team.

Profile

REQUIREMENTS

Mandatory

Required Technical Skills:

At least 5 years of experience in DevOps/SRE.
Demonstrated experience in vibe coding using AI tools to generate scripts, configurations and diagnose incidents.
Expertise in MLOps and deployment of AI models in production.
Proficiency with Cloud platforms (AWS, Azure, GCP) and Cloud AI services.
Expertise in Infrastructure as Code (Terraform, CloudFormation, ARM Templates).
Strong skills in containerization and orchestration (Docker, Kubernetes, Helm).
CI/CD expertise (GitLab CI, GitHub Actions, Jenkins, Azure DevOps).
Knowledge of MLOps tools (MLflow, Kubeflow, Weights & Biases, SageMaker Pipelines).
Proficiency in scripting (Bash, Python) and automation.
Experience in monitoring and observability (Prometheus, Grafana, ELK, DataDog).
Knowledge of DevSecOps security practices.
Experience with secrets and configuration management (Vault, AWS Secrets Manager).

Competencies:

Ability to use AI to quickly diagnose and resolve incidents.
Pragmatism: balance between automation and delivery timelines.
Rigour in designing and securing infrastructures.
Innovative mindset and continuous technology watch.
Autonomy and proactivity in identifying issues.
Strong service orientation and support for development teams.
Collaborative and pedagogical mindset.
High responsiveness when dealing with production incidents.

Nice to Have

Experience with GPUs and optimization of AI resources.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design and maintain scalable cloud infrastructures and CI/CD pipelines for the deployment of AI solutions. Utilize generative AI tools for vibe coding to accelerate automation, scripting, and incident resolution.

Requirements

Requires at least 5 years of experience in DevOps/SRE with proven expertise in MLOps and AI-assisted coding. Proficiency in containerization, Infrastructure as Code, and major cloud platforms is mandatory.

Skills

MLOps
DevOps
Vibe Coding
Terraform
Kubernetes
Docker
CI/CD
AWS
Azure
GCP
Python
Bash
MLflow
Kubeflow
Prometheus
Grafana

Visa sponsorship

Not detected in the job text

Keywords

MLOps
DevOps
Vibe Coding
Generative AI
GitHub Copilot
Cursor
Claude
ChatGPT
Terraform
CloudFormation
ARM Templates
Docker
Kubernetes
Helm
GitLab CI
GitHub Actions
Jenkins
Azure DevOps
MLflow
Kubeflow
Weights & Biases
SageMaker Pipelines
Python
Bash
Prometheus
Grafana
ELK
DataDog
DevSecOps
Vault

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Jobs in Canada