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# IA / Data - Observability Engineer (Híbrido- Madrid)

- **Company:** Infortec Consultores
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Engineering, DevOps, Reliability Engineering, Prometheus, Scripting, Google Cloud, Grafana, Kubernetes
- **Published:** September 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d5fb1f8a6e789b82

## About the Role

* Experiencia en Observability, SRE, DevOps, Cloud, Data Engineering o posiciones similares.
 * Experiencia con herramientas de monitorización y observabilidad.
 * Conocimientos de OpenTelemetry.
 * Experiencia con Prometheus y Grafana o herramientas equivalentes.
 * Conocimientos de APM, gestión de logs y distributed tracing.
 * Experiencia trabajando con Kubernetes y arquitecturas distribuidas.
 * Conocimientos de cloud (AWS, Azure, GCP o equivalente).
 * Experiencia en automatización y scripting.
 * Conocimientos de análisis de rendimiento y troubleshooting.
 * Experiencia en gestión de incidentes y análisis de causa raíz.
 * Conocimientos de SRE, SLI y SLO.

## Description

Buscamos incorporar un/a IA / Data - Observability Engineer para diseñar, implantar y evolucionar la observabilidad extremo a extremo de plataformas de datos, aplicaciones y soluciones de Inteligencia Artificial., * Definir estándares de logs, métricas, trazas y eventos.

 * Diseñar y mantener dashboards, alertas y sistemas de correlación.
 * Monitorizar pipelines de datos, modelos de IA, APIs, aplicaciones e infraestructura.
 * Definir y evolucionar SLI, SLO y KPIs operativos.
 * Realizar análisis de causa raíz (RCA) y de dependencias entre servicios.
 * Implementar mecanismos de detección de anomalías y automatización de respuestas.
 * Implantar soluciones de observabilidad end-to-end.
 * Analizar rendimiento, disponibilidad y comportamiento de plataformas y servicios.
 * Automatizar tareas operativas mediante scripting.
 * Participar en la gestión y resolución de incidentes.
 * Generar evidencias y métricas para auditoría y mejora continua.
 * Colaborar con equipos técnicos para mejorar la fiabilidad, resiliencia y operabilidad de las plataformas.


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