Test Automation Engineer (m/f/d)

YOUR OPPORTUNITY

We are a dynamic international team developing an ultra-wideband (UWB) based Local Positioning System (LPS) to enable our advanced player and ball tracking solutions. To capture and provide precise position and motion data in the sports environment, we are developing a full-stack of software components including firmware, backend and frontend applications. Join our cross-functional team to develop and optimize our end-to-end testing environment in collaboration with your colleagues from our software and hardware departments. 

YOUR QUALIFICATIONS

• A solid understanding of bash and python scripting
• Knowledge of BDD frameworks, docker and C++ GoogleTest
• Some experience with electronics, soldering simple circuits
• Enthusiasm to understand and thoroughly test complex systems
• You have been working with Linux operating systems and Linux infrastructure and tooling in the past
• You are excited to dive into new software & hardware territory
• You are fluent in English or German
• You are a reliable team player willing to take on responsibility and move the team & product forward with your own solutions
• The willingness to come to the office in Munich most days 

YOUR TASKS

As a Test Automation Engineer in our agile RTLS team you will

• Support all levels of automated software testing across our teams: Unit-testing, system-testing and release testing in black-box and white-box approaches,
• Maintain and shape our GitLab CI infrastructure,
• Design and improve our end-to-end system test infrastructure in collaboration with hardware developers
• Define test criteria and analyze test reports together with your colleagues
• Automate the evaluation and reporting of continuous integration test results 

OUR TECH STACK

Our integration and end-to-end testing infrastructure is mainly built on top of a python BDD framework with some parts of C++ GTests. We utilize GitLab's built-in CI infrastructure to build and run all kind of automated tests, both within a Kubernetes cluster and on standalone servers. On the frontend, Cypress is our tool of choice for end-to-end testing, ensuring seamless user interactions. We manage continuous integration and deployment through GitLab pipelines, utilizing Docker and Ansible to streamline our development and deployment processes. Additionally, Bash scripting is used extensively to automate and optimize our workflows.