Software Engineer in Test

At AirHelp, a global tech company with over 400 employees speaking 19 languages, the mission is to improve the travel experience by helping air passengers navigate disruptions and secure rightful compensation. Founded in 2013, AirHelp has assisted over 3 million passengers and protects over 12 million travelers through its membership program AirHelp+. The company advocates for fair air passenger rights and is recognized as a Most Loved Workplace with a commitment to equal opportunities and diversity.

• 3-5 years of professional experience in software development, test automation, or Developer in Test role.
• Strong coding skills in at least one major programming language: Ruby/Rails, Golang, Python, or Node.js.
• Hands-on experience with test automation frameworks and tools such as Cypress, Playwright, Selenium, or similar.
• Experience testing RESTful APIs using tools like Postman or Bruno.
• Working knowledge of CI/CD platforms (e.g., Github Actions) and integrating automated test suites into build pipelines.
• Strong analytical and troubleshooting skills to diagnose flaky tests, race conditions, and complex integration issues.
• Proficiency with Git and collaborative development workflows.
• Clear and effective communication skills and strong command of English (spoken and written).

• Design, develop, and maintain scalable and robust automated test suites across multiple layers including unit, integration, API, end-to-end, and regression tests.
• Build and enhance internal test automation frameworks, libraries, and utilities to improve test coverage, speed, and reliability.
• Integrate automated tests into CI/CD pipelines to enable fast, reliable feedback and support frequent production deployments.
• Collaborate with developers, product owners, and stakeholders to define test strategies, identify risk areas, and recommend test approaches.
• Develop and execute performance, load, and stress tests to validate system behavior under expected and peak conditions.
• Analyze test failures and production incidents to identify root causes, improve test coverage, and implement preventive measures to reduce regression risk.