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).

TASKS

As a Senior DevOps Engineer, you won't just manage namespaces or isolated
applications; you will have Full Ownership and end-to-end responsibility for the
platform operational stability. Your main tasks will include:

* Platform Operations & Ownership: 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.
* Stakeholder Coordination: Discuss, gather basic requirements, and implement
additional platform services in close coordination with internal stakeholders
across 11 divisions.
* 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 .
* Continuous Improvement: Continuously and independently develop operational
process definitions and platform optimization setups.
* System Evolution: Take over system responsibilities with a clear growth path
towards Product Ownership of the platform.

QUALIFICATIONS

We are looking for a "Plug n' Play" Senior Engineer—someone who brings

📌 Staff DevOPS Engineer (Madrid)
🏢 arsys ES
📍 Madrid