Por favor, presente su candidatura sin demora si su perfil encaja bien con este puesto, debido al alto nivel de interés. You will join the leading technology company in online car buying and selling that has broken all the rules of such a consolidated sector, using tools such as machine learning, data and algorithms to make the best decisions. We are looking for an SRE to join a very talented development team and actively participate in the evolution of our international projects and technological architecture. Our tasks have three layers: frontend, backend and infrastructure. Although the most used technologies are 100% typed PHP (version 8) and Angular, we also use others such as Python, VueJS and Node. We use both relational and non-SQL databases, cache layers, queues, websockets... We have multiple projects and we always choose the most appropriate technology for each need. We use docker containers and orchestrated architecture with kubernetes. We also place a lot of emphasis on good practices and the proper use of design patterns and software engineering principles. ¿Work hand in hand with development and the DevOps and SRE team to maintain a stable and efficient environment. Automate infrastructure processes using tools such as Terraform, Ansible. Manage server configuration and maintenance in GCP cloud environments Implement and maintain security and compliance policies to protect data and applications. Resolve technical problems related to infrastructure and software deployments. Configure and maintain monitoring and alerting systems to ensure availability and performance of services. Design the company's cloud architecture and optimize its costs Drive DevOps culture among development teams ¿Linux proficiency Docker Kubernetes and Helm Cloud (GCP or Azure or AWS) Continuous Integration Tools (Jenkins, Gitlab CI) Monitoring tools (Prometheus, Grafana, Alertmanager) Good level of English (fluent) Python Redis RabbitMQ SQL MongoDB ElasticSearch Ansible Networking PHP Fluency in SOLID principles, design patterns and data structures