Database Reliability Engineer

hace 2 días


madrid, España Ioniktech A tiempo completo

Ionik , a premier IT service provider located in Malaga and Madrid, empowers progressive businesses to boost operational efficiency, enhance productivity, and accelerate revenue growth through tailored, strategic solutions. We go beyond analysis. We drive innovation. Your mission As a Database Reliability Engineer, your mission is to design, automate, and operate reliable, scalable, and developer-friendly database services. This is both a hands‑on and strategic role: you will roll up your sleeves to build and automate Database deployments, while at the same time shaping how data services are delivered as part of a self‑service platform. By combining database expertise with strong automation and software engineering skills, you will ensure our platform accelerates developer productivity while maintaining enterprise‑grade reliability and compliance. If you are passionate about operating databases the DevOps way, and thrive at the intersection of data platforms, automation, and developer enablement, this role is for you. Below are the key responsibility areas for this role: What you’ll do a) Database platform ownership Design, implement, and maintain production‑ready PostgreSQL (and other databases). Build and manage automation pipelines (Ansible, Terraform, Helm, Operators) for provisioning, upgrading, and managing database clusters. Ensure deployments are secure, compliant, and resilient, including HA/DR and backup/restore frameworks. b) Platform and self‑service integration Embed database services into the IDP so they can be consumed via self‑service portals, APIs, or GitOps workflows. Define and maintain “golden paths” for database provisioning and lifecycle management. Collaborate with developers, SREs, and platform engineers to integrate data services seamlessly into application lifecycles. c) Reliability, observability, and compliance Implement monitoring, logging, and alerting for database workloads (Prometheus, Grafana, ELK, etc.). Establish SLOs and performance benchmarks to ensure system reliability. Drive compliance by embedding security controls, governance, and audit capabilities into database automation. d) Collaboration and enablement Partner with engineering teams to understand requirements and evolve database offerings. Provide clear documentation, onboarding material, and training to enable developers to use data services independently. Act as a subject matter expert for databases within the platform engineering team. What you'll bring Database Expertise: 3+ years of hands‑on experience with PostgreSQL in production (administration, tuning, HA/DR, migrations). Kubernetes Expertise: Strong knowledge of Kubernetes fundamentals and practical experience running stateful workloads, ideally using Operators. Automation Skills: Proficiency with Infrastructure‑as‑Code and automation tools (Terraform, Ansible, Helm, or similar). Software Development Mindset: Experience with Python, Go, or similar languages to build automation, APIs, and integrations. Observability Experience: Familiarity with monitoring/alerting tools such as Prometheus, Grafana, ELK, or Datadog. Collaboration and Communication: Strong ability to collaborate across engineering teams and communicate effectively in English. Bonus: Experience with other databases (MySQL, Elasticsearch, Cassandra) and exposure to public cloud providers (AWS, GCP, Azure). What's in it for you Hybrid working (3 days at home – 2 in the office) 25 days of annual leave +



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