Platform Operations Engineer

• 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).

• 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 mounts).
• Troubleshooting Mindset: Exceptional diagnostic skills. You enjoy reading logs, analyzing metrics, tracing application failure modes, and asking the right questions to solve user-reported problems.
• Linux Fundamentals: Confident command-line usage, high-level handling of Linux systems, process management, log analysis, and system recovery.
• Operational DevOps Tooling: Practical experience managing deployments and platform states using tools like ArgoCD, Helm, or Terraform from an operations perspective.
• Observability & Open Source Stack: Hands-on experience using monitoring and logging stacks (e.g., Prometheus, Grafana) to diagnose issues. Familiarity with applications like Airflow, Trino, Hive, or OpenShift is a strong plus.
• Networking Basics: Practical understanding of network concepts (DNS, TCP/IP, load balancers, network policies) to troubleshoot connection or traffic routing issues.
• Mindset: Strong user-empathy, autonomy to take ownership of production issues, and a supportive team player attitude focused on knowledge sharing.
• Communication: Good English skills (written and spoken) to collaborate effectively with platform users and international teams.

• Hybrid work model (in any of our offices in Alcobendas, Valencia, Barcelona, Sevilla, or Logroño)
• Flexible working hours
• Flexible compensation package
• Discounts on Arsys products
• Discounts on technology brands
• Challenging technical environment with real high-performance system problems
• Access to advanced AI tools with no usage restrictions
• Close collaboration with senior profiles and a strong culture of continuous improvement
• Personalized training and development plans
• Biannual team events

We value diversity and welcome all applications - regardless of, for example, gender, nationality, ethnic or social origin, religion, disability, age, as well as sexual orientation and identity, physical characteristics, marital status, or any other irrelevant factor subject to applicable law.

full_time

Organization Tamarind Intelligence