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 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 R&D 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 R&D 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
Bachelor's 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 R&D environment.
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