Senior Quality Assurance Engineer

When travelers are searching for a hotel, we want the obvious choice to be trivago! Our leading metasearch engine is super fast and constantly optimized - enabling millions of travelers to compare hotel prices from hundreds of booking sites and find great deals in just a few clicks. We use cutting-edge technology, real-time auction, and machine learning techniques with petabytes of data to create an experience - time and money saved! In the lively city of Düsseldorf, we seize opportunities to learn everyday, innovate, and make an enduring mark on the travel industry. At trivago you will find those who aren’t afraid of change but rather embrace it, turning every challenge into a pathway for growth. Join trivago, work with a great team, and grow with us!

Join us in making a difference

Our Marketing Solutions team is responsible for enabling trivago's marketing team to implement their strategies by developing automated tools to support their decisions. We are now seeking a passionate Senior QA Engineer to join our team! In this role, you'll ensure the quality of our software by implementing manual and automated testing.

 

How you’ll make an impact:

• Promote a "shift left" mentality: Ensure quality is built into the software development cycle from the start. Guide developers on writing better automation tests, including unit, integration, and end-to-end tests.
• Critically evaluate ideas: Assess the usability, performance, and impact of team members’ new ideas, suggesting improvements or corrections throughout the development process.
• Ensure quality and reliability: Through rigorous testing and validation processes, deliver high quality software. As part of a cross-functional team, you will be responsible for both manual and automated testing activities.
• Take ownership: Support our users by debugging issues, identifying root causes, and offering effective solutions.
• Data-driven insights: Dig into data at trivago, uncover useful insights, and identify risks when new features are built
• Innovate: Integrate AI into day-to-day testing activities to enhance efficiency and effectiveness.

What you'll need to thrive:

• Expertise: proven hands-on experience with UI automation tools such as Selenium, Appium, RestAssured, Karate, or similar, with a strong ability to design, develop, and maintain automated test scripts for both web and back-end applications.
• Code Proficiency: in at least one OOP programming language. Strong ability to read, understand, and debug code written by other developers, ensuring efficient troubleshooting and maintenance of existing software.
• Influence and Collaboration: Demonstrated ability to influence and collaborate with developers to write more testable and efficient code by effectively communicating the benefits, fostering a culture of quality and continuous improvement.
• Ownership and Pro-activity: Demonstrated ability to take ownership of projects and tasks, exhibiting a proactive approach to problem-solving and ensuring successful delivery and accountability.
• Tool Proficiency: Proficient with essential modern QA tools, including SQL, Git, Jira, Postman, Docker and Grafana.
• Adaptability: Comfortable with a testing approach that is fast, flexible, and continuously changing.
• Multitasking ability: Capable of working on multiple projects simultaneously.
• Learning and sharing: A hunger to learn and share knowledge
• Goal oriented: Setting high goals and proactively working towards achieving them.
• Team collaboration: Desire to work in a dynamic international team where communication and collaboration are the keys to success.
• Language skills: Fluent in English, our company language.

Stand out with:

• Educational background: A degree in an IT-related field of study.
• Quality Commitment: A strong commitment to ensuring the quality and reliability of software through meticulous testing, rigorous code reviews, and the implementation of best practices in quality assurance.
• CI/CD and DevOps: Familiarity with CI/CD pipelines and DevOps practices including Kubernetes and Cloud services.
• Data engineering knowledge: Understanding of data engineering practices and tools.
• Analytical skills: Strong analytical, debugging, and problem-solving skills.
• Communication skills: