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DevOps Engineer; ML Infrastructure

Job in Winnipeg, Manitoba, A3C, Canada
Listing for: Capgemini Engineering
Full Time position
Listed on 2026-10-11
Job specializations:
  • Software Development
    AWS
Salary/Wage Range or Industry Benchmark: 72056 - 138940 CAD Yearly CAD 72056.00 138940.00 YEAR
Job Description & How to Apply Below
Position: DevOps Engineer (ML Infrastructure)
Location  This role is fully remote, anywhere in the Canada
About The Job You’re Considering  We are seeking a highly skilled Senior Dev Ops 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 product ionize 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 Git Hub Actions, Jenkins, Git Lab CI/CD, or Azure Dev Ops 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…
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