Kubernetes HPC & AI Compute Architect

Capgemini

United States

Remoto

USD 51.000 - 80.000

Tempo pieno

5 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Medical benefits
Dental benefits
Vision benefits
Retirement benefits

Descrizione del lavoro

Capgemini is seeking an experienced Kubernetes (K8S) & High-Performance Computing (HPC) Engineer to design, deploy, and support scalable compute platforms for AI/ML, simulation, and data-intensive workloads. This role focuses on Kubernetes administration, containerized infrastructure, HPC environments, GPU-enabled computing, and cloud-native platform engineering.

Responsibilities include designing and managing Kubernetes-based compute platforms, implementing containerized environments with

Competenze

  • 5+ years of experience in Kubernetes and cloud infrastructure engineering.
  • 2+ years of experience supporting HPC or large-scale compute platforms.
  • Strong Linux administration experience.
  • Experience with Kubernetes, Docker, Helm, and container orchestration.
  • Experience with Python and/or Bash scripting.
  • Experience supporting Azure, AWS, or GCP environments.

Mansioni

  • Design, deploy, and manage Kubernetes-based compute platforms supporting AI/ML, simulation, and high-performance workloads.
  • Implement and support containerized environments using Kubernetes, Docker, and Helm.
  • Administer and optimize HPC clusters, workload schedulers, and distributed computing environments.
  • Support GPU infrastructure and performance tuning for compute-intensive workloads.
  • Develop and maintain infrastructure automation, monitoring, and CI/CD pipelines.
  • Deploy and support cloud-native infrastructure across AKS, EKS, and/or GKE environments.
  • Troubleshoot platform performance, scalability, and availability issues.

Conoscenze

Kubernetes
Docker
Helm
Python
Bash
Slurm
Volcano
NVIDIA GPU Infrastructure
CI/CD
Infrastructure Automation
Monitoring & Observability
AKS
EKS
GKE

Descrizione del lavoro

Capgemini is seeking an experienced Kubernetes (K8S) & High-Performance Computing (HPC) Engineer to design, deploy, and support scalable compute platforms for AI/ML, simulation, and data-intensive workloads. This role focuses on Kubernetes administration, containerized infrastructure, HPC environments, GPU-enabled computing, and cloud-native platform engineering.

Responsibilities include designing and managing Kubernetes-based compute platforms, implementing containerized environments with

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