Inactive
C

Capgemini

Global consulting, technology services, outsourcing

Senior DevOps Engineer - ML Infrastructure

DevOps EngineeringPosted on Oct 6
Full-timeRemote in Canada

About the Job

Requirements

  • Strong experience with Kubernetes and large-scale workload orchestration.
  • Hands-on experience with Kubernetes batch schedulers such as Volcano or 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 or 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 and Grafana.
  • Understanding of machine learning lifecycle management, model deployment, and production operations.

Responsibilities

  • Develop and manage cloud-native infrastructure supporting large-scale machine learning 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 machine learning 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 for distributed systems and GPU clusters.
  • Ensure platform reliability, security, scalability, and operational excellence.
  • Troubleshoot complex distributed systems and performance bottlenecks across infrastructure and machine learning workloads.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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