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Database DevOps Engineer
Devops Database 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.
