Jobs in Canada

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Added 11 hours ago
HT
Senior Research Engineer - AI Data Security
Huawei Technologies Canada Co., Ltd.
Waterloo, ON
- Full-time
- On-site
Huawei Canada has an immediate permanent opening for a Senior Research Engineer.
Added 11 hours ago
HT
Co-op Researcher – Computer Vision and Machine Learning
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Internship
- On-site
Currently enrolled in senior Bachelor or Master’s in Computer Science, Electrical Engineering or a related technical field, having strong software development skills, previous internship…
Added 11 hours ago
HT
Researcher – 3D Computer Vision and Generative Modeling
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
- On-site
Huawei Canada has an immediate permanent opening for a Senior Researcher.
Added 11 hours ago
AW
Principal, S2 Workforce Strategy and Intelligence Lead
Arctic Wolf Networks, Inc.
Waterloo, ON
- Full-time
Experience presenting analytics findings directly to senior or executive leadership.
Added 11 hours ago
UT
Développeur(se) principal(e), Opérations de sécurité et intervention en cas d’incident / Senior Security Operations and Incident Response Engineer
Unity Technologies SF
Montréal, QC
- Full-time
Our SecOps team is seeking a senior, hands-on security engineer to serve as the team’s technical lead during Americas hours.
Added 11 hours ago
Cloud Automation & AI Architect
Open Text Corporation
Waterloo, ON · Richmond Hill, ON · Mississauga, ON
This is a senior individual contributor role with strong technical leadership influence, ideal for someone who enjoys working at the intersection of platform development, SRE, and…
Added 11 hours ago
Senior Consultant, Actuarial Insurance Solutions (AIS) - Life & Health
Deloitte
Kitchener, ON
As a Senior Consultant in Actuarial and Insurance Solutions practice, you will collaborate with a team of like-minded professionals and contribute to market initiatives.
Added 11 hours ago
Senior IAM Engineer (Ping Identity/CIAM), Global Deloitte Technology
Deloitte
Toronto, ON
Experience automating installations and CI/CD pipelines, including end‑to‑end deployment automation using Python and shell scripting.
Added 11 hours ago
Cyber Agentic AI Analyst, Deloitte Global Technology
Deloitte
Toronto, ON
Collaborate with senior team members to identify use cases for AI-assisted threat detection and response
Added 11 hours ago
PG
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Groupe Holdings B.V
Toronto, ON
- Full-time
Publicis Sapient is looking for a Senior Associate Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital…
Added 11 hours ago
K
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Vancouver, BC
- Full-time
…recommendation, anomaly detection) using tech stack such as Python and common ML frameworks (e.g., scikit‑learn, TensorFlow, PyTorch, Azure ML Studio, Databricks…
Added 11 hours ago
C-
Senior Software Engineer
Canada - Genesys Cloud Services Corp.
ON
- Full-time
Strong proficiency in Java or Python, with experience contributing to test automation frameworks
Added 11 hours ago
Software and Hardware Senior Engineering Specialist (SWEL)
Bombardier
Dorval, QC
Registration is required
Added 11 hours ago
Aircraft Level Systems Engineering Professional Senior, Conceptual System Design
Bombardier
Dorval, QC
…early-phase trade study workflows. Solid programming skills using Python, C/C++ or MATLAB are essential. Familiarity with MDAO frameworks or multidisciplinary simulation toolchains is an…
Added 11 hours ago
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Senior Engineer
Capgemini
Toronto, ON
- $72,056 to $138,940 CAD / year
We are seeking a highly skilled Software Engineer with strong expertise in Apache, SQL, Python, Scala, Hive, and Parquet to build and maintain large-scale data processing solutions. The…
Added 11 hours ago
BP
Lead Applied Scientist - Signal Processing & Machine Learning- AquaEye
BLANKSLATE Partners
Vancouver, BC
- Full-time
Serve as a senior technical resource within the product-development team.
Added 11 hours ago
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Senior AI Engineer, Legal - USA Remote
Danaher
London, ON
- Full-time
The Senior Legal Engineer is responsible for designing, building, and deploying AI-powered solutions that transform legal and compliance workflows across Danaher's corporate and platform…
Added 11 hours ago
M
Senior Software Engineer - Brokerage Platform
moomoo
ON
- Full-time
We are looking for an experienced Senior Software Engineer to join our engineering team in Toronto.
Added 11 hours ago
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Senior AI Engineer, Legal - Canada Remote
Danaher
London, ON
- Full-time
The Senior AI Legal Engineer is responsible for designing, building, and deploying AI-powered solutions that transform legal and compliance workflows across Danaher's corporate and platform…
Added 11 hours ago
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Senior Business Solutions Architect
Danaher
London, ON
- $130,000 to $135,000 CAD / year
- Full-time
The Senior Business Solutions Architect is responsible for partnering with business stakeholders to translate complex business challenges into scalable, enterprise analytics solutions with…
Added 11 hours ago
MI
Actuarial Associate (Ontario)
Millennium Insurance Corporation
Sherwood Park, AB
- Full-time
Prepare and present actuarial results, insights, and recommendations to management and senior stakeholders.
Added 11 hours ago
Lead Security Analyst - SOAR
Open Text Corporation
Waterloo, ON
The Lead Security Analyst - SOAR is a senior technical lead responsible for designing, building, and supporting security orchestration, automated response, and AI-enabled security…
Added 11 hours ago
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Senior Solutions Engineer
ChapsVision
Montréal, QC
- $130,000 to $170,000 CAD / year
- Full-time
As a Senior Solutions Engineer, you will serve as a senior technical lead on our most strategic and complex customer engagements. You will architect scalable search solutions, drive…
Added 11 hours ago
O
Senior Software Engineer (Infrastructure)
Owl.co
Toronto, ON
- Full-time
We have engineering hubs in New York City and Vancouver, and this role is 5 days per week onsite in one of those offices
Added 11 hours ago
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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,…

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