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# Backend Engineer

- **Company:** Swiss Re.
- **Location:** Spain
- **Salary:** €60,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Performance Management, Microsoft Azure, Configuration Management Databases, Computer Programming, Databases, Continuous Integration, Extract Transform Load (ETL), Database Models, Monitoring of Systems, Angular 2+, Standard Sql, SQL Databases, Datadog, Data Processing, Grafana, Multi-Cloud, Generative AI, Kubernetes, Front End Software Development, Restful APIs, Docker, Microservices
- **Published:** October 19, 2026
- **Apply:** https://es.trabajo.org/oferta-5355-e4d085be5645c760277d7d1e205cce97

## About the Role

complex technical concepts with clarity and precision.Document and share technical knowledge to support team-wide knowledge and growth.About YouProven 3+ years' experience programming with Golang8+ years' experience with modern programming languages.A strong sense of ownership of your work, acting as the CEO of your area, consistently delivering excellence.Strong knowledge of SQL, database modeling, and optimization techniques.Hands-on experience with Azure or equivalent cloud platforms.Proficiency in Angular 2+ and Node.Js frontend development.Experience with microservices architecture, Kubernetes, and Docker.Excellent written and verbal communication skills in English.Experience with monitoring tools like Datadog, Grafana, or Prometheus.Knowledge of AI technologies and intelligent systems.Experience with ETL workflows and data processing at scale.Background in enterprise IT environments and configuration management.We understand that no candidate matches 100% of the requirements.

## Description

The role balances strategic engineering with hands-on delivery, contributing directly to system stability, resilience, and continuous improvement whilst building our AI assisted future through meaningful PoCs.Key ResponsibilitiesDesign and develop robust backend services using Golang.Architect and maintain our Federated API, connecting configuration and asset information across on-premise and multi-cloud environments.Optimize and enhance CMDB database systems and ensure seamless integration with corporate processes.Build and manage RESTful APIs, microservices architectures, and CI/CD pipelines with automated testing.Implement containerization using Docker and orchestrate deployments in Kubernetes environments.Monitor and analyse application performance using tools like Datadog, Grafana, or Prometheus.Transform and integrate data using ETL practices and complex SQL operations.Explore and implement emerging AI technologies, including generative models and intelligent agents.Communicate