Our department’s vision is to build a Data-Driven IONOS Group. Our mission is to connect AI and BI, evolve our platforms, and empower our customers. As the central provider of the BI platform for Corporate, CTO topics, and state-of-the-art AI solutions, we support data-driven decision-making all across the IONOS Group.
Currently, we are building our new cloud Big Data platform completely based on the IONOS cloud infrastructure. This means you will work with up-to-date, non-commercial technologies and have the unique opportunity to operate on our own internal cloud ecosystem, completely independent of the usual hyperscalers (AWS/GCP).
Actively help shape, deploy, and maintain our cloud Big Data platform infrastructure, taking full responsibility for the operation of our technical data processes.
L2/L3 Application Support: Serve as the first point of contact for internal data engineering teams. You will troubleshoot process failures, investigate why a data pipeline failed, and optimize platform performance.
Agile Collaboration: Participate actively in team processes,



working within 2-week sprints where the functional team develops a common goal, working independently while keeping the team aligned.
Experience: Minimum 5+ years of proven experience in Operations, System Administration, or infrastructure-focused DevOps roles.
Confident, high-level handling of Linux systems, environments, and server recovery processes.
CI/CD & IaC: Deep practical experience with infrastructure-as-code and deployment automation technologies, specifically ArgoCD and Terraform.
Strong knowledge and hands-on experience with Kubernetes and containerization technologies.
Open Source Stack: Familiarity or practical experience with tools such as Trino, Hive, Airflow, OpenShift, Prometheus, or Grafana is highly valued.
Networking: Practical experience with networking concepts and technologies.
Communication: Good English skills (written and spoken) to collaborate effectively across multidisciplin

📌 Staff Devops Engineer (Cataluña)
🏢 IONOS Group
📍 Cataluña