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# Cloud Platform Engineer (Google Cloud Platform - GCP)

- **Company:** Tecdata Engineering
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Cipher, Cloud Computing, Cloud Storage, Continuous Delivery, Continuous Integration, DevOps, Identity and Access Management, Machine Learning, Data Logging, Google Cloud, Cloud Platform System, Delivery Pipeline, Infrastructure as Code (IaC), Kubernetes, Terraform, Devsecops
- **Published:** September 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=046d08deeac52eba

## About the Role

* Arquitectura Cloud.
 * Machine Learning.
 * DevSecOps.
 * Site Reliability Engineering (SRE)., ️ Experiencia sólida en Google Cloud Platform (GCP).
️ Conocimientos de:

 * Google Kubernetes Engine (GKE).
 * IAM.
 * Redes VPC.
 * Compute Engine.
 * Cloud Storage.
 * Servicios gestionados de GCP.

️ Experiencia con:

 * Terraform.
 * Infraestructura como Código (IaC).
 * Automatización de despliegues.
 * Integración Continua y Entrega Continua (CI/CD).

️ Conocimientos de:

 * Monitorización y observabilidad.
 * Logging.
 * Seguridad Cloud.
 * Cifrado.
 * Control de acceso basado en privilegios mínimos.
 * Optimización de costes.

️ Valorable experiencia trabajando con:

 * Machine Learning.
 * Grafos.
 * APIs.
 * Data Pipelines.
 * Root Cause Analysis (RCA)., Buscamos una persona proactiva, con mentalidad DevOps, orientada a la automatización, escalabilidad y mejora continua, capaz de trabajar en equipos internacionales y proyectos tecnológicos de alto impacto.

## Description

Implementar y mantener la infraestructura en Google Cloud Platform (GCP) para un innovador módulo de Investigate & Explain.

 * Administración de GKE (Google Kubernetes Engine).
 * Configuración de redes, IAM, almacenamiento y recursos de computación.

Dar soporte al despliegue de:

 * Servicios de Investigate & Explain.
 * Flujos de trabajo de RCA (Root Cause Analysis).
 * Componentes de Machine Learning y grafos.
 * Integraciones mediante APIs.
 * Entornos piloto y de producción., * Infraestructura como Código (IaC).
 * Automatización con Terraform.
 * Pipelines CI/CD.
 * Configuración de entornos repetibles y escalables., * Seguridad y gestión de accesos (IAM).
 * Observabilidad, monitorización y alertas.
 * Logging y trazabilidad.
 * Optimización de costes cloud.
 * Aplicación de buenas prácticas de infraestructura.


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