TasksYou will have Full Ownership of platform operations, serving as the operational backbone that keeps our Kubernetes-based ecosystem running smoothly and troubleshooting issues observed by platform users.

Maximice sus posibilidades de que su candidatura sea seleccionada asegurándose de que su CV y sus habilidades se ajustan al perfil.
Your main tasks will include:
- Platform Operations & Stability: Take full responsibility for running, maintaining, and maintaining the operational health of our Kubernetes-based cloud Big Data platform.
- Troubleshooting & L2/L3 Incident Response: Act as the primary point of contact for platform users (data engineers, analysts, internal teams). You will dive deep into application logs, investigate container failures, analyze pod behavior, and diagnose performance bottlenecks or process crashes.
- User Application Operations: Support and maintain internal user applications running on top of Docker and Kubernetes. Ensure deployed services are healthy, scalable, and resilient.
- Root Cause Analysis (RCA):



Apply an investigation-first mindset to identify why platform or application failures occur, preventing recurring incidents rather than just applying temporary fixes.
- Agile Collaboration & Support: Work in 2-week sprints, addressing operational tickets, incidents, and platform health tasks while keeping team members and internal stakeholders aligned.
- Continuous Operational Improvement: Continuously refine operational runbooks, monitoring setups, and incident response definitions to improve mean time to resolution (MTTR).

Qualifications
- Experience: Minimum 5 years of proven experience in Systems Operations, L2/L3 Application Support, Site Reliability Engineering (SRE), or Infrastructure Operations.
- Kubernetes & Docker (Core): Deep hands-on experience operating, debugging, and troubleshooting containerized workloads in Kubernetes and Docker environments (e.g., pod lifecycle, ingress/service issues, resource limits, volume mou

📌 Senior Platform Operations Engineer (Madrid)
🏢 Tamarind Intelligence
📍 Madrid