Increasing complexity in automotive software has made manual testing and deployment in distributed networks of Electronic Control Units (ECUs) both time-consuming and error-prone. This thesis explores and implements a framework automating deployment and testing in distributed networks of ECUs. The proposed solution combines Ansible-based deployment with Gherkin-style test case descriptions, integrated into a CI/CD pipeline to enable consistent and repeatable testing automation. The resulting prototype called Automated Deployment and Testing of ECUs (ADATE), automates the testing of software components with automated deployment across simulated devices in a distributed environment. The framework demonstrates how automation in a distributed environment can make the testing process of ECUs both more efficient and reduce manual effort, offering a foundation for future adaptations in real-world automotive environments.