Wingie Enuygun Group is Turkey’s leading travel marketplace, operating in 26 countries and 27 languages, with more than 22 million monthly visits, 18M+ mobile app downloads, and millions of users from 165 countries.
We invite you to join Wingie Enuygun Group’s young and dynamic team and be a part of this global success story.
We are looking for a QA Engineer for Wingie Enuygun Group's growing Technology department.
With this position, you will have the chance to take part in the team that has developed one of the most successful internet businesses in Turkey.
Why Wingie Enuygun?
Global impact: Work on products that make travel easier for millions, using the latest technologies and having free access to AI tools Global growth: Be part of a company born in Turkey and scaled into a global e-commerce player, with a culture focused on data, efficiency, and customer satisfaction Strong start: A comprehensive onboarding program designed to help you get to know the team and start contributing from day one Continuous development: Access to internal and external training programs, plus free access to platforms like Coursera, Udemy, SymfonyCasts, Udacity, edX, and O'Reilly Social community: Opportunities to actively join sports, gaming, arts & culture, and nature-focused social clubs Celebrating together: Two major company parties each year to celebrate achievements with your teammates Casual environment: A friendly office experience with no dress code Great start to the week: Office breakfast every Monday Working Experience & Benefits At Wingie Enuygun Travel perks: Discounts on flights, hotels, car rentals, and transfers across Wingie Enuygun Group products Welcome experience: A Welcome Kit and ENC Gift Card waiting for you on your first day Flexible benefits: With WEGFlex, choose your benefits for the following year every December and earn ENC points across various products Hybrid support: Transportation allowance for the days you come to the office Daily support: Meal card and healthy snacks Health coverage: Private health insurance and life insurance Wellbeing: Appointment opportunities with our nutritionist Grocery support: Grocery gift card once a year Special occasions: Gifts for marriage, childbirth, and military service What Makes You Special?
We are looking for an experienced QA Engineer with a deep passion for test automation and quality assurance, ready to help safeguard the quality of AI-powered products.
You'll bring: 2-4 years of hands-on experience in software testing with a strong focus on automation Proven expertise in delivering testing services for complex projects, ideally within Agile/Scrum environments A solid educational background with a B.
Sc. or M.Sc. in engineering, computer science, or related fields Proficient understanding of programming languages, particularly Java (required), with experience in Python (preferred, especially valuable for AI test scripting) or JavaScript Expertise in automation tools like Selenium WebDriver, Cypress, Playwright, and Appium A comprehensive understanding of API testing (Postman, RestAssured) and mobile testing frameworks Hands-on experience with CI/CD pipelines and integration testing using Jenkins or GitLab Interest in or experience with testing LLM-based features (chatbots, recommendation engines, automated content generation, etc.
) A curious approach to evaluating prompt behavior, model output consistency, and regressions Willingness to integrate AI-powered testing tools (test case generation, self-healing test scripts, intelligent defect triage) into daily workflows What Will You Do?
Test Development & Automation Design and develop robust test automation frameworks using tools like Selenium, Cypress, and Playwright Create and maintain API test suites using RestAssured and Postman Develop and optimize mobile test automation for both web and app platforms with Appium Integrate test automation within CI/CD pipelines using Jenkins and GitLab Generate and maintain test reports using Allure and HTML reporting tools Continuously improve and optimize existing test automation frameworks Develop test strategies for AI/LLM-powered features within the product (e.
g., accuracy, consistency, hallucination checks, edge-case scenarios) Evaluate AI-powered test automation tools and run pilot implementations (test case suggestion, automated test maintenance, etc.
) Quality Leadership Lead software testing and QA activities across multiple projects, ensuring quality standards are met Participate in product design reviews to identify potential issues early and provide feedback on functional requirements Develop comprehensive test strategies and test plans for complex projects and features Perform root cause analysis on defects and testing issues, driving improvements Ensure that quality is seamlessly integrated throughout the software development lifecycle Champion testing best practices and advocate for continuous process improvements Define and track evaluation metrics for the output quality of AI-powered features Collaboration & Mentoring Work closely with cross-functional teams including developers, product managers, and business stakeholders Mentor junior team members, providing technical guidance and fostering their growth Lead test automation discussions in Agile/Scrum ceremonies, ensuring alignment with team goals Conduct code reviews for test automation scripts, ensuring quality and maintainability Share knowledge of best practices and new tools, contributing to team growth Support team members in resolving complex technical challenges Share knowledge with development teams on AI/LLM testing approaches, raising overall awareness Technical Innovation Stay updated on the latest testing technologies and industry best practices Evaluate and implement new tools and frameworks to improve testing efficiency Drive optimization efforts to reduce test execution time while improving reliability Develop solutions for complex testing scenarios, improving test accuracy Lead proof-of-concepts for new testing approaches, driving innovation within the team Track developments in AI-powered testing tools and LLM evaluation methodologies, bringing them into the team
