Volver a los resultados · Madrid

Oferta verificada hace 16 horas

DevOps Engineer

Atos·Madrid
Salario no indicado
Resumen Vox
  • Rol del puesto: Desarrollar y operar plataformas Kubernetes, gestionar infraestructura como código y colaborar en entornos HPC y cloud-native.
  • Requisitos clave: Experiencia en Kubernetes, gestión de entornos multi-cluster, implementación de GitOps, conocimientos en IaC y CI/CD, inglés B2+ mínimo.
  • Condiciones y beneficios: Trabajo flexible con horario flexible, oportunidades de aprendizaje en tecnologías avanzadas de IA, entorno de innovación y crecimiento.
Candidatarse en el origenSales de VoxJobs hacia tecnoempleo.com — la candidatura se hace directamente en la empresa. tecnoempleo

Descripción de la oferta

About Bull Bull is a story. One with a century of European innovation and a working environment where experts design powerful sustainable and sovereign digital solutions enabling states and industries to retain full control over their data and their AI. Bull is also thousands of engineers researchers and passionate tech people shaping the future of high-performance computing AI and quantum technologies. Every day our teams push the boundaries of what is technologically possible - from next-generation HPC architectures to exascale supercomputers - supported by world-class RD more than 1600 patents and unique end-to-end capabilities spanning hardware design software engineering data science and quantum research. We are a people-centric innovation-driven company where collaboration spans Europe the Americas and India. We share a common vision of a responsible and sustainable innovation that delivers concrete impact for our customers. Role Description Bull is looking for a proactive DevOps Engineer with experience in Kubernetes cloud-native platforms and distributed infrastructure. The role focuses on resource orchestration platforms including HPC environments such as Slurm. You will join our international RD team to help build and operate next-generation cloud and HPC platforms. Key responsibilities - Design deploy and operate Kubernetes-based platforms including cluster lifecycle management in distributed and multi-cluster environments - Implement and maintain Infrastructure as Code and GitOps workflows for platform and application delivery - Collaborate with RD and engineering teams to support cloud-native workloads and HPC integrations (e.g. Kubernetes-Slurm environments) - Ensure platform reliability performance and observability through monitoring alerting and troubleshooting - Contribute to CI/CD pipelines automation and continuous improvement of engineering workflows. Requirements - Bachelors degree in Computer Science Software Engineering or a related technical field. - 2+ years of experience building and operating cloud-native platforms preferably in Kubernetes-based environments. - Strong experience with Kubernetes administration and ecosystem including cluster lifecycle management workload scheduling networking and storage. - Experience operating multi-cluster Kubernetes environments using tools such as Rancher Fleet OpenShift or similar platforms. - Experience implementing GitOps workflows using tools such as ArgoCD FluxCD or Fleet for infrastructure and application delivery. - Knowledge of Infrastructure as Code and configuration management (Terraform Ansible Helm Kustomize etc.). - Experience with CI/CD pipelines and engineering workflows (Git Jenkins GitLab CI GitHub Actions etc.). - Experience with observability and monitoring stacks (Prometheus Thanos Grafana Datadog etc.). - English B2+ minimum. C level desirable. Nice to have - Experience integrating Kubernetes with HPC schedulers (Slurm integration or hybrid HPC/cloud environments). - Familiarity with cluster provisioning tools (Cluster API kubeadm Kubespray etc.). - Knowledge of Kubernetes security best practices (RBAC Pod Security Standards secrets management). - Solid experience with Linux system administration including troubleshooting distributed systems and performance bottlenecks. Location Spain Benefits - Flexible Work Schedule Half day Fridays and an intensive summer workday supporting work life balance. - Learning and Growth Opportunities to work with advanced AI technologies in an innovative and supportive RD environment. Join us Here your ideas your curiosity and your technical excellence directly shape the next era of advanced computing - unlocking enterprise value accelerating scientific progress and driving positive impact for society.

Panel de transparencia

Fuente original
tecnoempleo
Publicada
29 jun 2026 · fecha real
Última verificación
hace 16 horas
Puntuación de calidad
35/100
Salario indicado0
Empresa identificada0
applyUrl0
postedAt15
Descripción completa20

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