Requirements
- Currently pursuing a degree in Software Engineering, Computer Science, Information Technology, or an equivalent field.
- Solid understanding of Software Quality Assurance concepts, techniques, testing methodologies, deliverables, processes, and strategies.
- Strong programming fundamentals (e.g., Java, JavaScript, Python, or similar), with the ability to read, write, and debug basic code.
- Hands‑on exposure or strong interest in test automation frameworks (e.g., Selenium, Cypress) or internal automation tools.
- Knowledge or hands‑on experience with AI-based tools, ML concepts, or AI-assisted testing will be considered an added advantage.
- Strong analytical thinking with the ability to identify, troubleshoot, and solve problems effectively.
- Good communication skills with the ability to convey ideas clearly and professionally.
- A collaborative mindset with the ability to build constructive and cooperative working relationships within diverse teams.
- A proactive and adaptable individual who thrives in a dynamic, international working environment.
- Demonstrates ownership of tasks with a strong sense of responsibility and commitment.
- Openness to conducting research (R&D) on new tools, technologies, and QA best practices.
- Willingness to explore innovative solutions and contribute to continuous improvement initiatives.
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