Jobs in Canada

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Added 1 day ago
C
DevOps Engineer (ML Infrastructure)
Capgemini
Toronto, ON
- $72,056 to $138,940 CAD / year
…infrastructure specialists to deliver highly available services, improve developer productivity, modernize infrastructure, and drive innovation through automation and AI-assisted…
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Senior Backend Engineer
Capgemini
Calgary, AB
Must have skills
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Site Reliability Consultant
Pythian
Ottawa, ON · BC · Calgary, AB · Edmonton, AB · Saskatoon, SK · Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
Pythian may utilize Enterprise Generative Artificial Intelligence (AI) tools or features throughout its hiring process. These tools help us manage high volumes of applications efficiently…
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Principal Prompt Engineer
MCI Careers
Canada
Minimum 5 years of experience working with Generative AI and Large Language Models.
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LT
Mechanical Product Designer I
LMI Technologies
Burnaby, BC
- $62,100 to $88,578 CAD / year
- Full-time
Exposure to AI-driven engineering tools (such as generative design features in 3D CAD) or productivity tools (like large language models for scripting, data analysis, or task automation) to…
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Développeur(se), Solutions GenAI Developer, GenAI Solutions
syntax
Montréal, QC
Senior Software Developer, AI Solutions (m/f/d)
Added 1 day ago
Software Engineer, AI
Softchoice
Calgary, AB · NL · Oakville, ON · Ottawa, ON · Vancouver, BC · Toronto, ON
Typically 4–6 years of software engineering experience, including at least 2 years developing AI, machine learning, or generative AI solutions.
Added 1 day ago
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Architect, Workplace and Power Platform
Softchoice
Calgary, AB · Vancouver, BC · NL · Ottawa, ON · Oakville, ON · Toronto, ON
- $120,800 to $151,000 CAD / year
Deep expertise in Microsoft Copilot Studio: agent design, generative orchestration, knowledge sources, custom actions/tools, channels, analytics, and M365 Copilot extensibility.
Added 1 day ago
GT
Analyste Senior, Gouvernance des données - Senior Analyst, Master Data Governance
Groupe Touchette Inc.
QC · Burlington, ON
- Full-time
Compréhension des métadonnées sémantiques, des produits de données et des exigences de gouvernance liées à l’IA et à l’IA générative (GenAI).
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MC
Financial Services Associate - Full Time
Meridian Credit Union Limited
Fergus, ON
- Full-time
Added 1 day ago
MC
Senior Manager, Sales Effectiveness (Wealth)
Meridian Credit Union Limited
St. Catharines, ON · Etobicoke, ON
- Full-time
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Creative Technologist, AI
Propelis
Toronto, ON
- $125,000 to $135,000 CAD / year
- Full-time
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UP
Sales Manager
Unlimited Potential
Saskatoon, SK
- Full-time
Champion a data-driven sales culture, leveraging CRM, generative AI, Power BI, and L&D platforms to coach the team, drive adoption of productivity-enhancing tools, and translate analytics…
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Digital Presales Lead (Practice)
HEXAWARE
Canada
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TA
Lead AI and Automation
Top Aces (TAI)
Dorval, QC
- Full-time
Added 1 day ago
TC
Team Lead, Data Engineering - Databricks
The Citco Group Limited
Toronto, ON
- Full-time
- Hybrid
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Applied AI Lead - Calgary
Sia
Calgary, AB
- Full-time
- On-site
Hands-on experience building with Generative AI: LLMs, AI agents, copilots, retrieval-augmented generation (RAG), or workflow automation platforms; you should be able to speak to code…
Added 1 day ago
LH
AI Augmented Quality Assurance Analyst I
LGI Healthcare Solutions Santé Inc.
Montréal, QC
- Full-time
- Hybrid
Hands-on experience using generative artificial intelligence tools in software development;
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S
SAP BTP Full Stack Developer – Développeur Full Stack SAP BTP
SDA
Montréal, QC
- Full-time
- Hybrid
We are seeking for an experienced SAP BTP Developer to join our team and help implement the latest SAP technology. The ideal candidate must have strong technical expertise, the ability to…
Added 1 day ago
S
SAP BTP Developer/ Développeur SAP BTP
SDA
Montréal, QC
- Full-time
- Hybrid
We are looking for an experienced SAP BTP Developer to join our team and help implement the latest SAP technology. The ideal candidate must have strong technical expertise, the ability to…
Added 1 day ago
QA
Architect - Software Developer
Quantiphi Analytics Canada Limited
Fredericton, NB
- Full-time
We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
Added 1 day ago
SC
Lead Software Engineer - AI & Quality Engineering Focus (C# and Azure Cloud)
SimCorp Canada Inc.
Toronto, ON
- Full-time
Developer productivity and operational excellence
Added 1 day ago
LB
Data Scientist - Analytics Solutions & Reporting
Labatt Brewing Company Limited
Toronto, ON
- Full-time
Stay current with developments in machine learning, generative AI, and the consumer-packaged goods sector, and assess their practical application to commercial priorities
Added 1 day ago
MS
Manager, Smart Factory Solutions
Magna Services of America, Inc.
Canada
- Full-time
Experience developing AI and generative AI solutions using AWS Bedrock and AgentCore.
Added 1 day ago
S
Senior AI Security Automation Engineer
SSB&T
Toronto, ON
- $120,000 to $217,500 CAD / year
- Full-time
· Demonstrated experience architecting, developing, and deploying production-grade Generative AI and Large Language Model (LLM) based solutions, including agentic workflows, intelligent…

Capgemini

DevOps Engineer (ML Infrastructure)

Toronto, ON, Canada

$72,056 to $138,940 CAD / year

Apply on careers.capgemini.com About employer

Applications open in a new tab.

Job details

Pay: $72,056 to $138,940 CAD / year
Posting language: English
Posted: Nov 3, 2026

Original job description

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Location

This role is fully remote, anywhere in the Canada

About the job you’re considering

We are seeking a highly skilled Senior DevOps Engineer to help build, operate, and evolve large-scale, business-critical infrastructure platforms. This role focuses on reliability, scalability, automation, and operational excellence across distributed systems supporting high-volume production workloads. You will work closely with software engineers, platform teams, and infrastructure specialists to deliver highly available services, improve developer productivity, modernize infrastructure, and drive innovation through automation and AI-assisted operations.

Your role

Develop and manage cloud-native infrastructure supporting large-scale ML workloads on Kubernetes.
Implement and operate batch scheduling solutions such as Volcano and Kueue to optimize utilization of GPU and compute resources.
Build and maintain CI/CD pipelines for ML services, infrastructure, and platform components.
Manage and optimize Kubernetes environments, including production workloads running on AWS EKS and other cloud platforms.
Lead and support infrastructure modernization and migration initiatives across cloud and platform ecosystems.
Partner with Data Scientists, ML Engineers, and Software Engineers to productionize machine learning solutions.
Implement robust observability, monitoring, and alerting distributed systems and GPU clusters.
Ensure platform reliability, security, scalability, and operational excellence.
Troubleshoot complex distributed systems and performance bottlenecks across infrastructure and ML workloads.

Your skills and experience

Strong experience with Kubernetes and large-scale workload orchestration.
Hands-on experience with Kubernetes batch schedulers such as Volcano / Kueue
Solid understanding of Distributed systems, Containerization technologies, Cloud-native architectures and Microservices-based platforms.
Experience managing workloads on Kubernetes platforms such as AWS EKS.
Proven track record delivering and supporting infrastructure migration projects.
Strong programming skills in Python or Golang
Experience with Infrastructure-as-Code and deployment tools including Terraform / Helm.
Experience designing and maintaining CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI/CD, or Azure DevOps and
Strong Linux systems administration and troubleshooting skills
Experience building observability solutions using: Prometheus, Grafana and
Understanding of ML lifecycle management, model deployment, and production operations.

The base compensation range for this role in the posted location is: $72,056- $138,940/year

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

· Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

· Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

· Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

· Life and disability insurance

· Employee assistance programs

· Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Apply on careers.capgemini.com About employer

More about this job

Responsibilities

The DevOps Engineer at Capgemini will build and run cloud infrastructure for machine learning workloads on Kubernetes. They will automate deployments, keep systems reliable and fast, and work with data scientists and software engineers to get ML solutions into production.

Requirements

Candidates need strong Kubernetes and cloud-native experience, including AWS EKS and batch schedulers like Volcano or Kueue. They also need Python or Golang, Infrastructure-as-Code and CI/CD skills, Linux administration, and observability tooling.

Skills

Kubernetes
AWS EKS
Volcano
Kueue
Batch scheduling
GPU resource optimization
Terraform
Helm
Infrastructure as Code
CI/CD pipeline design
GitHub Actions
Jenkins
GitLab CI/CD
Azure DevOps
Python
Golang
Linux systems administration
Prometheus
Grafana
Observability
Containerization
Microservices
Distributed systems
Cloud-native architecture
ML lifecycle management

Benefits

Paid vacation
Company paid holidays
Personal days
Sick leave
RRSP retirement savings
Life and disability insurance
Employee assistance program

Keywords

DevOps Engineer
Senior DevOps
ML infrastructure
Kubernetes
AWS EKS
Volcano
Kueue
Terraform
Helm
CI/CD
GitHub Actions
Jenkins
GitLab CI/CD
Azure DevOps
Prometheus
Grafana
Python
Golang
Linux
Cloud infrastructure

Seniority

Senior

Perks

Generous paid time off
Retirement plan
Wellness program

Tools

Kubernetes
AWS EKS
Terraform
Helm
GitHub Actions
Jenkins
GitLab CI/CD
Azure DevOps
Prometheus
Grafana

Languages

English

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Work requirements

Jobs in Canada