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 progressively building your skills and exposure to test automation tools and techniques.
This is an excellent opportunity for early - career professionals with strong analytical thinking, attention to detail, and a genuine interest in growing within the Quality Engineering craft. In addition, you will have the opportunity to contribute to AI - enabled initiatives aimed at accelerating testing and broader engineering activities helping improve productivity, quality, and delivery efficiency.
During your tenure, your key responsibilities will involve:
Contribute to the creation and execution of test cases for functional integration, and regression testing, based on business requirements and user stories.
Log and track issues in collaboratio nwith developers and business analysts using tools such as Jira or Azure DevOps.
Apply a critical-thinking approach to uncover edge cases and validate real-world user behavior.
Maintain clear test documentation and contribute to test reports and knowledge bases.
Work closely with cross- functional teams including developers, analysts, and other QA engineers to understand system functionality and test coverage needs.
Participate in team initiatives to learn automation testing tools and practices (e.g., Selenium, Cypress, Playwright), with mentorship from senior team members.
Participate in the development, evaluation and adoption of AI - powered solutions that accelerate testing and broader engineering activities. Leverage Generative AI tools (e.g., Claude, Gemini, ChatGPT, GitHub Copilot) for test design, test data generation, documentation, and automation development, while contributing to internal AI - driven accelerators and productivity initiatives.
#WinningRequirements
To qualify for the role, you must have:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Up to 2 years of experience in software testing or quality assurance.
Solid understanding of software development lifecycles and testing fundamentals.
Familiarity with issue tracking and test case management tools such as Jira, Xray, or TestRail.
Strong analytical thinking and attention to detail.
Excellent communication skills and ability to work effectively in a collaborative team environment.
A genuine interest in evolving toward test automation, with a willingness to learn relevant tools and scripting languages.
Curiosity about AI - assisted software engineering and testing practices. Familiarity with Generative AI tools such as ChatGPT, GitHub Copilot, Claude, Gemini, or similar platforms will be considered a strong advantage.
ISTQB Foundation Level certification is considered a plus.
Experience in Financial Services (Banking and/or Insurance), Energy, Telecommunications or other relevant sectors will be considered a plus.
Military obligations fulfilled where applicable.



