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 R&D, more than 1,600 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/Platform Engineer with strong 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 R&D team to help build and operate next-generation cloud and HPC platforms.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines using Jenkins (Open Source) and GitLab
• Deploy and manage applications using Helm and Kustomize
• Implement and maintain monitoring and observability solutions using Prometheus, Grafana, and Datadog
• Ensure availability, performance, scalability, and reliability of systems
• Troubleshoot infrastructure, pipeline, and production incidents
• Collaborate with development and operations teams to continuously improve DevOps processes and standards.
• Automate infrastructure provisioning and configuration using HashiCorp Terraform and Ansible
• Support and operate Bull HPC environments, including workload scheduling with Slurm.

Required Skills & Experience

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
• 4+ 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.
• It is also valuable any previous experience in innovation and pre-sales departments or in European research projects.

Location: Location: Madrid or Barcelona (or remote within Spain for other locations).

Benefits

• Flexible Work Schedule: Enjoy half-day Fridays and an intensive summer workday to help maintain a great work-life balance
• Learning & Growth: Stay at the forefront of AI and technologies, with opportunities to learn and grow in a supportive, innovative 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.