Jobs in Canada

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Added 23 hours ago
H
Junior Data Engineer
hireVouch
Vaughan, ON
- Hybrid
…are looking for a passionate, forward-thinking Junior Data Engineer to join our data team and help build the data pipelines powering our eco-focused…
Added 23 hours ago
Team Lead, DevOps
AGFA
Waterloo, ON
…guide and mentor the team but also actively contribute as an engineer. You will help shape our cloud-native transformation, drive the adoption of GitOps…
Added 23 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Montréal, QC
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 23 hours ago
C
DevOps Engineer (ML Infrastructure)
Capgemini
Toronto, ON
- $72,056 to $138,940 CAD / year
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,…
Added 23 hours ago
NH
Senior Backend Engineer
Norbert Health
Montréal, QC
- Full-time
We're looking for a Senior Backend Engineer to own and evolve the backbone of our system.
Added 23 hours ago
Architect, Professional Services (MS Azure)
Softchoice
Calgary, AB · Vancouver, BC · Toronto, ON
Microsoft certification: Azure Solutions Architect Expert, Azure Network Engineer Associate and/or Azure Security Engineer Associate, Certs aligned with Specialty Path.
Added 23 hours ago
CW
Senior Engineer – Cloud Platforms & Virtualization
Canada Wind River
ON
- Full-time
…powering billions of systems that require the highest levels of security, safety, and…
Added 23 hours ago
CI
Cloud Platform Engineer
CI Investments Inc.
York, ON
- Full-time
The Cloud Platform Engineer will work with a cross-functional team and will be responsible for designing and implementing re-usable frameworks, APIs, CI/CD pipelines, test automation,…
Added 23 hours ago
SC
Canada Solutions Engineer
SHI Canada ULC (ULC)
QC
- $175,000 to $225,000 CAD / year
- Full-time
The Solutions Engineer collaborates with account teams to assess customer data center environments and design tailored infrastructure solutions that align with business objectives. This…
Added 1 day ago
CS
AI Inference Core - Senior Senior Software Engineer for DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
We are hiring a Software Engineer to build and operate the platform layer behind Cerebras engineering infrastructure.
Added 1 day ago
QF
Senior Software Engineer
Questrade Financial Group
Toronto, ON · Greater Toronto Area, Canada
- Full-time
The Senior Software Engineer leads the technical design and delivery of complex, high-performance features across Questrade's products, spanning front-end applications (React Native,…
Added 1 day ago
QF
Senior Software Engineer
Questrade Financial Group
Calgary, AB
- Full-time
We’re looking for our next Senior Software Engineer
Added 1 day ago
SI
Cloud Engineer
Spait Infotech
Canada
- Full-time
Implement cloud security best practices and access management policies.
Added 1 day ago
QF
Senior Data Engineer
Questrade Financial Group
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We’re looking for our next Senior Data Engineer
Added 1 day ago
LM
Senior Software Engineer - Halifax
Lockheed Martin
Ottawa, ON
- Full-time
Software development, primarily using Java and containerization tools like Kubernetes
Added 1 day ago
LM
Software Engineer
Lockheed Martin
Ottawa, ON
- Full-time
Software development, primarily using Java and containerization tools like Kubernetes
Added 1 day ago
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Principal Software Engineer - Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Evisort Engineering is growing! As a Principal Software Engineer, you’ll join a collaborative, cross-functional team working to enhance and expand our AI-driven contract management…
Added 1 day ago
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Staff Software Engineer (Senior Position)
Blazesoft
Concord, ON
- Full-time
API security. OAuth-based auth, request signing (HMAC), idempotency, replay protection, and audit logging.
Added 1 day ago
GC
Software Engineer III -Software Engineer III - Temporary Full Time
Game Companies
Vancouver, BC
- Full-time
Reporting to the Engineering Manager, we are seeking an experienced .NET Software Engineer with a strong DevOps background to join our Quality Verification and Standards (QVS) team. In this…
Added 1 day ago
Solution Architect, Digital
Momentum Financial Services Group
Toronto, ON
You will partner with engineering, product, enterprise architecture, security, and business stakeholders to define target-state architecture, guide delivery teams through implementation,…
Added 2 days ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a skilled Backend/API Developer with a strong focus on Azure Infrastructure Security to join our dynamic team. The ideal candidate will have a proven track…
Added 2 days ago
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Director, Enterprise Solutions - Google Cloud
APPLY
Toronto, ON
- Full-time
Define architecture strategies that ensure scalability, security, resilience, and long-term value, including composable and API-first approaches where they fit
Added 2 days ago
SI
Software Engineer - Strong Java, Python and Linux experience
Smart IT Frame LLC
Toronto, ON
- Contract
Job Title: Software Engineer - Strong Java, Python and Linux experience
Added 2 days ago
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Director of Cloud & Kubernetes Platform
McKesson
Mississauga, ON
- Full-time
Engineer a unified multi-cluster management plane enabling consistent deployment, policy enforcement, and observability across cloud providers.
Added 2 days ago
DevOps Engineer
Capgemini
Toronto, ON
This is a full-time opportunity based in the Greater Toronto Area, following a hybrid work model with four days per week in the office

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