Remote Senior DevOps Engineer – Kubernetes & ML Infra

Capgemini Engineering; Canada; A distancia; CAD 72.000 - 139.000; Jornada completa

Descripción de la vacante

Capgemini Engineering seeks a Senior DevOps Engineer to build, operate, and evolve large-scale infrastructure for ML workloads on Kubernetes. You will implement batch schedulers, maintain CI/CD pipelines, and optimize production workloads across AWS EKS and other clouds.

You will collaborate with data scientists, ML engineers, and software engineers to productionize ML solutions, ensuring observability, security, and reliability across distributed systems.

Formación

• Strong experience with Kubernetes and large-scale workload orchestration.

Responsabilidades

• Develop and manage cloud-native infrastructure supporting large-scale ML workloads on Kubernetes.

Conocimientos

Kubernetes

Volcano

Kueue

Python

Golang

Herramientas

Terraform

Helm

GitHub Actions

Jenkins

GitLab CI/CD

Azure DevOps

Prometheus

Grafana

Descripción del empleo

Capgemini Engineering seeks a Senior DevOps Engineer to build, operate, and evolve large-scale infrastructure for ML workloads on Kubernetes. You will implement batch schedulers, maintain CI/CD pipelines, and optimize production workloads across AWS EKS and other clouds.

You will collaborate with data scientists, ML engineers, and software engineers to productionize ML solutions, ensuring observability, security, and reliability across distributed systems.