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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.
Job Responsibility:
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
Requirements:
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
What we offer:
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