JOBILY AI SUMMARY
What you'll do
- Contribute to creation and execution of test cases for functional integration and regression testing
- Log and track issues using tools such as Jira or Azure DevOps
- Apply critical thinking to uncover edge cases and validate user behavior
- Maintain test documentation and contribute to reports and knowledge bases
- Collaborate with developers, analysts, and QA engineers to understand system functionality and test coverage
- Participate in learning and using automation testing tools like Selenium, Cypress, Playwright
- Contribute to development and adoption of AI-powered solutions to accelerate testing and engineering
- Leverage Generative AI tools for test design, data generation, documentation, and automation development
Key requirements
- 0+ years' experience
- Software testing fundamentals and knowledge of software development lifecycles
- Functional testing and exploratory testing skills
- Experience with issue tracking tools like Jira and test case management tools like Xray or TestRail
- Analytical thinking and attention to detail
- Communication skills and collaboration in a team environment
- Interest in test automation tools and scripting languages
- Familiarity with Generative AI tools such as ChatGPT, GitHub Copilot, Claude, or Gemini
- Computer Science / Engineering / Related fieldpreferred
Benefits
- This is an excellent opportunity for early-career professionals with strong analytical thinking, attention to detail, and genuine interest in quality engineering craft development.
- Also offers participation in AI-enabled initiatives to enhance productivity, quality, and delivery efficiency.
About the job
Your role as a Junior Quality Engineer will focus on supporting the design, execution, and documentation of software tests to ensure the stability and quality of digital products and enterprise systems. You will begin by contributing to functional and exploratory testing activities, while…


