DevOps Engineer (ML Infrastructure)

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.