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About the Role

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.

Responsibilities

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.

Requirements

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
Strong Linux systems administration and troubleshooting skills
Experience building observability solutions using: Prometheus, Grafana
Understanding of ML lifecycle management, model deployment, and production operations.

Skills

Kubernetes
Volcano
Kueue
Distributed systems
Containerization
Cloud-native architectures
Microservices
AWS EKS
Python
Golang
Terraform
Helm
GitHub Actions
Jenkins
GitLab CI/CD
Azure DevOps
Linux systems administration
Prometheus
Grafana
ML lifecycle management
Model deployment
Production operations

Location

Canada

Work Type

Fully remote

Experience Level

Senior

Salary/Compensations

$72,056- $138,940/year

Benefits

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

About the Company

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.
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.

Equal Opportunity

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