QA Automation Engineer

We are AiBUY, a US-based product company revolutionizing how people interact with various media types such as video, images, 2D and 3D, and augmented reality. We aim to merge e-commerce with media, providing customers with a unique and emotional online shopping experience. We offer an in-content purchase option and a complete real-time analytics and data visualization suite. We constantly explore predictive insights related to contextually relevant content performance, machine learning, and computer vision algorithms to enhance and automate the e-commerce, checkout, and payment experience, making processes and flows as fast and seamless as possible.

We are looking for an experienced QA Automation Engineer to join our team of professionals.

Requirements:

• Bachelor’s degree in computer science, engineering, or a related field.
• At least 4 years of experience in software testing.
• Automation testing experience in Java or Kotlin.
• Strong experience using the Selenium Web Driver.
• Solid understanding of BDD and experience using Cucumber/Gherkin.
• Experience with API automation tools and technologies.
• Knowledge of Continuous Integration tools (GitHub Actions, TeamCity).
• Understanding Agile/Scrum/Kanban methodologies.
• Initiative and a can-do attitude.
• Intermediate proficiency in spoken and written English.
• Access to a reliable and secure internet connection.

Responsibilities:

• Analyze functional requirements, design test cases, and develop automated tests.
• Support the current code base and existing automated test scenarios.
• Write tests and increase the coverage of automated tests.
• Code review and support.
• Improve the automation approach in the company to build continuous testing.
• Collaborate with the development and leadership teams to ensure consistent testing execution.
• Knowledge transfer and mentoring of colleagues and team members.

We Offer:

• Work in a team of technical enthusiasts.
• Fully remote work option.
• Paid sick leave and vacations.
• Paid advanced training.
• Agile environment.
• Flat hierarchy without micromanagement.
• Opportunity for professional development and growth.