Jobs in Canada

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Added 11 hours ago
Senior Software Engineer - Orchestration
Fivetran
ON
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
Added 11 hours ago
Application Security Analyst, Deloitte Global Technology
Deloitte
Toronto, ON
…professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our…
Added 11 hours ago
AM
Diagnostics Software/Hardware Technical Lead
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…earlier in the production lifecycle. We are seeking a visionary Lead/Principal Diagnostics Engineer to drive our shift from proven post-silicon software validation frameworks and…
Added 11 hours ago
D
Senior AI Engineer, Legal - USA Remote
Danaher
London, ON
- Full-time
Ship production-grade AI features. Write clean, well-tested code (Python and/or TypeScript) to deliver production applications using LLM APIs, orchestration frameworks (e.g., LangChain,…
Added 11 hours ago
D
Senior AI Engineer, Legal - Canada Remote
Danaher
London, ON
- Full-time
Ship production-grade AI features. Write clean, well-tested code (Python and/or TypeScript) to deliver production applications using LLM APIs, orchestration frameworks (e.g., LangChain,…
Added 11 hours ago
D
Senior Business Solutions Architect
Danaher
London, ON
- $130,000 to $135,000 CAD / year
- Full-time
Lead end-to-end CRM Analytics and business intelligence initiatives by guiding solution architecture, technical design, implementation, governance, and stakeholder adoption while…
Added 11 hours 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…
Added 11 hours ago
H
Senior DevOps Engineer - [EADV261006]
Hatch
BC
- $115,000 to $135,000 CAD / year
- Full-time
We are looking for an experienced Senior DevOps Engineer to lead the foundation, reliability, and deployment strategy for high-concurrency cloud environments supporting an innovative game.
Added 11 hours ago
QI
Senior Platform Engineer - Infra and Tooling
Quartermaster inc.
Toronto, ON
- Full-time
- Hybrid
The Senior Developer Operations is a key contributor responsible for delivering high-quality, scalable software across the frontend and backend. This role involves building performant UIs,…
Added 12 hours ago
AS
Senior Business Solutions Architect
AB Sciex LP
London, ON
- $130,000 to $135,000 CAD / year
- Full-time
Lead end-to-end CRM Analytics and business intelligence initiatives by guiding solution architecture, technical design, implementation, governance, and stakeholder adoption while…
Added 12 hours ago
OW
Actuarial Modeling & Technical Manager
Oliver Wyman Actuarial Consulting, Inc.
Toronto, ON
- Full-time
- Hybrid
Strong technical skills with actuarial tools and experience with Python, R, or SQL are advantageous. Experience with Git/GitHub and Databricks preferred.
Added 12 hours ago
OW
Actuarial Modeling & Technical Manager
Oliver Wyman Actuarial Consulting, Inc.
Toronto, ON
- Full-time
- Hybrid
Strong technical skills with actuarial tools and experience with Python, R, or SQL are advantageous. Experience with Git/GitHub and Databricks preferred.
Added 12 hours ago
AI
Product Engineering (Fabric Data Engineering)
Allstate Insurance Company of Canada - Permanent
Canada
- $80,900 to $120,000 CAD / year
- Full-time
- Hybrid
Use Copilot in Power BI and engineering productivity tools such as GitHub Copilot to accelerate modeling, report creation, documentation, and validation while ensuring all generated outputs…
Added 12 hours ago
MS
Manager, Smart Factory Solutions
Magna Services of America, Inc.
Canada
- Full-time
Magna is looking for Smart Factory Manager who will lead a team responsible for developing software to support digitizing production lines and implementing streaming machine controls.
Added 12 hours ago
OW
Actuarial Modeling & Technical Manager
Oliver Wyman Actuarial Consulting, Inc.
Toronto, ON
- Full-time
- Hybrid
Strong technical skills with actuarial tools and experience with Python, R, or SQL are advantageous. Experience with Git/GitHub and Databricks preferred.
Added 12 hours ago
OW
Actuarial Modeling & Technical Manager
Oliver Wyman Actuarial Consulting, Inc.
Toronto, ON
- Full-time
- Hybrid
Strong technical skills with actuarial tools and experience with Python, R, or SQL are advantageous. Experience with Git/GitHub and Databricks preferred.
Added 12 hours ago
TR
Lead Software Engineer AI (Staff Engineer)
Thomson Reuters (Tax & Accounting) Inc
Toronto, ON
- Full-time
- Hybrid
Thomson Reuters products power professionals shaping the world across legal, tax, accounting, and audit. As a Lead Software Engineer AI (Staff Engineer AI) on Cloud Audit Suite, you will…
Added 12 hours ago
C
Senior Engineer
Caylent
Canada
- $131,000 to $147,000 CAD / year
Build and maintain CI/CD pipelines (GitHub Actions) and automated test suites: Jest/Vitest unit tests, Playwright E2E and API tests, and integration tests against live Connect instances
Added 12 hours ago
S
Staff Software Engineer, Infrastructure
Stream
Toronto, ON
- Full-time
- Hybrid
- Make the big infrastructure calls. Lead the design reviews and decisions on where and how we run, working with backend, video and moderation engineers on tradeoffs that cross service…
Added 12 hours ago
Staff Quality Engineer
StackAdapt
Canada
…hands-on, individual-contributor leadership role: you will lead the effort to design quality strategy for non-deterministic AI systems, build the frameworks and harnesses that make those…
Added 12 hours ago
R
Senior Manager, AI Engineering (.NET)
RBC
Toronto, ON
- Full-time
The Senior Manager, AI Engineering will lead a team delivering engineering solutions for –Fraud, AML, Finance, and Risk capabilities across global groups. The role combines hands-on…
Added 20 hours ago
QF
Senior Data Engineer
Questrade Financial Group
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Pipeline Architecture & Engineering: Lead the technical design, development, and optimization of scalable, high-performance batch and real-time streaming data pipelines (ETL/ELT), ensuring…
Added 20 hours ago
K
DEVOPS ENGINEER
Kablamo
Toronto, ON
- Full-time
Coding/scripting skills in one or more of (Javascript, Ruby, Java, Python, Golang, Bash)
Added 20 hours ago
C
Sr. Consultant, Data Developer
CIBC
Toronto, ON
- Full-time
…Distribution & Cards Technology (DCT). As a Sr. Consultant, Data Developer, you’ll be a senior technical leader in CAM’s technology transformation, modernizing the collections, recovery and…
Added 21 hours ago
KO
MIcrosoft Solutions Intern
Keewaytinook Okimakanak Board of Education
Thunder Bay, ON
- Full-time
Working under the technical direction of the AI and Data Science Lead, you will design and deliver working pilot solutions together with KOBE departments and document everything for…

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