Devops Engineer

Location Madrid or Malaga

Hybrid (2 per week in office and 3 days from home)

About the Role

We are looking for a hands-on DevOps Engineer to join our clients data team.

You will deploy, automate, and maintain databases primarily on Kubernetes serving 500+ developers across multiple environments.

This is a practical, engineering-heavy role. You will work daily with Kubernetes operators, Helm charts, Ansible playbooks, and CI/CD pipelines to keep databases running reliably at scale. If you have deployed and managed any database on Kubernetes (PostgreSQL, Elasticsearch, MySQL, MongoDB - anything counts), and you enjoy solving real operational problems rather than just writing YAML, this role is for you.

You will join a small, focused team of experienced engineers and start contributing from day one. We value practical experience over theoretical knowledge.

What You Will Do

Deploy and operate databases on Kubernetes

- Deploy and manage database clusters using Kubernetes operators (e.G., Cloud NativePG, ECK, or any equivalent operator you have worked with).
- Handle day-to-day database operations: provisioning, scaling, backups, failover, upgrades, and user management.
- Troubleshoot production issues across multiple database engines (PostgreSQL, Elasticsearch, MySQL, Cassandra, Click House, MongoDB).

Build and maintain automation

- Write and maintain Ansible playbooks, Helm charts, and Terraform modules for database lifecycle management.
- Automate repetitive operational tasks: credential rotation,



configuration drift detection, backup verification.
- Integrate database services with GitOps workflows (ArgoCD) and secrets management (External Secrets Operator, OpenBao).

Support the platform and the team

- Create operational runbooks and documentation for database procedures.
- Collaborate with other teams on monitoring, alerting, and access control for databases.

What We Are Looking For

- 3+ years in a DevOps, SRE, or Infrastructure Engineer role with real production responsibilities.
- Kubernetes experience : you have deployed and operated workloads on Kubernetes in production — not just local clusters. Understanding of StatefulSets, PVCs, operators, and how stateful applications behave on K8s.
- Database deployment experience on Kubernetes : you have deployed at least one database engine on K8s using an operator or Helm chart. You know the caveats — storage classes, backup strategies, failover behavior, data persistence. Any database counts (PostgreSQL, MySQL, Elasticsearch, MongoDB, Redis, etc.).
- Automation skills : practical experience with at least two of: Ansible, Terraform, Helm. You write automation that others can read, use, and maintain.
- Linux fundamentals : comfortable with troubleshooting, networking, and system administration on Linux.
- CI/CD familiarity : experience with GitLab CI, ArgoCD, or similar pipeline/GitOps tools.
- Communication : able to work effectively in English (written and spoken) in a distributed team.

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