Responsibilities
We have one ticket for this race, working for us fully remotely from the coziness of your home with many benefits, and a competitive performance-based salary. We’re currently seeking a QA Automation Engineer to serve as a key member of our quality assurance team. We’re looking for someone who is a self starter with experience building automation from the ground up. Added automation tests in the CI/CD pipeline is a plus. This role will work within the Agile framework of continuous delivery. You should have in-depth experience with Cypress, Selenium or other testing frameworks.
- Do manual testing of the application
- Develop automated test cases using Cypress
- Testing frontend, database and API of application
- Implement and document best practices for test automation and assist the development teams in improving code quality
- Ability to translate product requirements into test plans and test cases for test execution. Prioritizing what needs to be automated
- Participate in scrum meetings and estimating efforts with English-speaking team members
- Work closely with product managers and engineering team to release high quality applications
Requirements
- Experience in Katalon studio and Postman – nice to have skill
- Experience in both: manual and automation testing
- Expertise in test automation tools such Cypress, Selenium or other frameworks
- Experience in testing all three layers of the application – frontend, database and API
- Experience in using Project Management tool – JIRA
- Experience using Version control system (GitHub, Bitbucket…)
- Experience in Agile project methodologies (Kanban or Scrum)
- Good English knowledge – reading, writing, speaking
- Ability to create test plans, strategies and identify roadblocks during sprints
- Cross teams communication with engineering, product, and client success
- Proficiency in AI-driven QA tools for test case generation and analysis is required to support quality assurance processes
- Candidates should have strong prompt engineering skills to optimize AI-driven testing outputs effectively
- Understanding of AI tool boundaries and the ability to apply sound judgment and critical thinking in QA activities
- Utilize AI to debug, refine quality assurance processes, and improve documentation for enhanced reliability and productivity