Our partner is looking for a Senior Site Reliability Engineer — Token Factory (Inference Platform) based in Spain. This is a senior engineering role focused on the reliability, performance, and observability of a large-scale AI inference platform. You will help operate infrastructure serving foundation models across text, vision, audio, and emerging multimodal workloads.

The role combines Kubernetes, infrastructure-as-code, observability, automation, and production incident management at significant scale. You will work closely with software engineers and infrastructure teams to build self-healing systems and robust operational processes. Own the reliability, performance, and observability of the inference platform and its supporting infrastructure.

Build monitoring and observability solutions capable of processing large volumes of production signals and converting them into actionable insights. Configure and optimize Kubernetes infrastructure for high availability, scalability, and efficient resource utilization. Tune Kubernetes autoscaling mechanisms to improve the efficiency and utilization of GPU resources.

Develop and maintain Terraform modules and infrastructure-as-code patterns that embed resilience and reliability into new clusters and services. Participate in production incident management, troubleshooting issues and restoring services within demanding reliability objectives. Investigate distributed-system failures and performance issues across infrastructure and application layers.

Contribute to scaling the inference platform while balancing performance, reliability, and infrastructure costs . Collaborate closely with software engineers to incorporate reliability and operational excellence into product and platform development. Promote automation,



self-healing capabilities, and engineering practices that reduce operational overhead and improve system resilience.

Significant experience in Site Reliability Engineering, Production Engineering, DevOps, or a closely related infrastructure discipline . Deep practical knowledge of Kubernetes in production environments. Strong experience with Prometheus and Grafana for monitoring, metrics, dashboards, and observability.

Advanced experience with Terraform and infrastructure-as-code practices. Strong scripting and automation skills using Python and/or Bash . Solid understanding of distributed systems and the ways production backends can fail under real-world conditions.

Experience designing effective alerts, monitoring strategies, and SLOs for high-throughput services or APIs. Strong troubleshooting and debugging skills across infrastructure, networking, operating systems, and application layers. Strong understanding of infrastructure automation, deployment, configuration management, and operational tooling.

Ability to analyze complex performance and reliability problems and translate findings into practical engineering improvements. Strong incident‐management and root‐cause‐analysis capabilities. Ability to collaborate effectively with software engineers and other technical teams to integrate reliability into platform development.

Workplace accommodations available throughout the application process where required.

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR).

📌 Senior Site Reliability Engineer — Token Factory (Inference Platform) (Madrid)
🏢 Jobgether
📍 Madrid