W
WorkMotion
Senior QA Automation Engineer
Skills
TypescriptPythonTesting & QAGitGitLabJenkinsPostmanPlaywrightCypressAIAWSGitHubJavascript
5 days ago
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Important information
Salary:
€40,000 – €46,000 / year
Location:
Germany
Work mode:
Remote
Published on:
21 October 2026
What they need
Who you are
- 6+ years of professional experience in QA automation
- Strong programming skills in JavaScript/TypeScript and Python
- Experience with test automation frameworks like Cypress or Playwright
- Solid experience testing RESTful APIs using tools like Postman, REST Assured, or Insomnia
- Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI)
- Deep understanding of software testing principles, test design techniques, and QA methodologies
- Knowledge of version control tools like Git
- Experience working in Agile/Scrum environments
- Experience with performance testing tools (e.g., JMeter, Gatling)
- Exposure to cloud platforms like AWS
- ISTQB or other relevant certifications
- Experience in contract testing or TDD/BDD
What the job involves
- Our Engineering Team is looking for a Senior QA Automation Engineer (AI-Focused). In this role, you’ll drive the test automation strategy, design robust test suites, and ensure the quality and reliability of our products across multiple services and platforms
- Design, develop, and maintain automated test frameworks and test cases for web, API, and backend services
- Collaborate closely with developers, product managers, and other stakeholders to define acceptance criteria, ensure comprehensive test coverage and high-quality releases
- Integrate automated tests into CI/CD pipelines and monitor test execution results
- Perform code reviews, mentor junior QA engineers, and promote best practices for test automation
- Investigate and report bugs and issues with detailed reproduction steps and logs
- Ensure test data, environments, and tools are properly maintained and aligned with team needs
- Proactively contribute to our quality culture and participate in improving testing processes
- Utilize AI-powered development and testing tools to accelerate QA processes
- Apply AI-assisted test generation, debugging, and defect analysis techniques
- Evaluate and implement AI-driven QA solutions for automation optimization
- Use tools such as GitHub Copilot, ChatGPT, Claude, Cursor, or similar AI platforms effectively in daily workflows
- Collaborate with engineering teams on AI-assisted SDLC initiatives
Benefits
- Flexible working: Make your own schedule and plan your work around your personal life. There are no in and out times.
- Learning & development allowance: Hone your skills and join courses and workshops by availing our L&D allowance.
- Asynchronous communication: Organise your own schedule. We celebrate results, not hours spent working.
- Work from anywhere: Work from home, a coffee shop, a beach or the mountains. Plan a workation in the country of your dreams.
- Gym membership: Get access to subsidised gym membership or sports club subscriptions.
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