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Kinexon is hiring a Test Automation Engineer (m/f/d) LPS Sports

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Job Description

OUR TECH STACK

Our diverse tech stack allows us to develop robust and efficient services. Here is a breakdown of the technologies we use:

  • Backend: Relevant backend services are written in C++, Golang, Python, JavaScript, TypeScript
  • Building & Testing: 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. For C++ component testing we use the GTest framework and for full integration & end-to-end testing we heavily rely on the Python BDD testing framework, along with additional tooling in Python
  • Deployment & Automation: We use a Docker & Ansible based workflow to manage our deployments, CI runners and manufacturing

YOUR TASKS

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

  • Support all levels of automated software testing across our product: 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 automated 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
  • Get the freedom and opportunity to really create a robust and reliable end-to-end system test environment

YOUR QUALIFICATIONS

  • A solid understanding of bash and python scripting
  • Knowledge of BDD frameworks, Docker and Ansible automation
  • 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 day

YOU CAN LOOK FORWARD TO THIS WITH US

At KINEXON, you will meet people with a similar mindset who are passionate about innovative technologies and love to master new challenges in a team, as well as create great products.  

Become part of our team and enjoy the following benefits:  

  • #Freetime 30 days (DE) / 20 days (US) paid vacation to refuel your energy (for full-time employees)
  • #WeCare – take your time off for the family (parental leave etc.)
  • #WorkingHours – Early bird or night owl - you can choose your flexible work hours.
  • #FlexibleLocation – we work with a hybrid and remote model.
  • #OneTeam - We enjoy spending time together at regular team and company events.
  • #OnTop - further benefits selected by you annually out of a range of benefits that we offer (mobility, sports, vacation budget, training budget and more) 


If you want to find out more about our benefits, you can look here and with a visit to Instagram wearekinexon you can get a look behind the scenes.

About Us

KINEXON is a leader in Physical AI for Manufacturing & Sports, turning real-time location and motion data into actionable intelligence and automation. Our AI and IoT-driven platform supports a wide range of applications, from automated logistics and safety solutions in factories to live player tracking and performance analytics in sports. In sports, 80% of NBA teams rely on KINEXON technology, alongside FIFA and top European football teams and leagues. In manufacturing and logistics, we partner with blue chip companies including BMW, Siemens, Airbus, Continental, and MTU to drive measurable efficiency gains. Founded as a TU Munich spin-off, we are a team of ~250 people headquartered in Munich with a US office in Chicago - and we're hiring ambitious talent ready to shape the future of physical AI.

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Salary Information

Salary: 64.000 € - 77.000 €

🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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