לוח משרות דרושים הייטק אבטחת איכות QA בתל אביב יפו

As our global operation continues to expand, we are seeking a skilled and enthusiastic QA Manual Engineer to join our team. As a QA Engineer, you will play a crucial role in ensuring the quality and reliability of our products. The ideal candidate is self-motivated, detail-oriented, and possesses excellent organizational skills, as well as a strong willingness to learn and adapt to new technologies.

In this role, you will work with many different teams across the company. You will work closely with our product managers and developers, validating that our products meet the highest quality standards and effectively solve customer problems. You will also work closely with product designers, the support team, and more.

What You'll Do:

Perform comprehensive testing of new features to verify the requirements are met and long-term quality is upheld.
Develop and execute test plans, test cases, and test scripts to ensure the software meets quality standards.
Define core business flows that will serve as the backbone of the automated tests written by our automation developers.
Collaborate with the Product and R&D teams to investigate and troubleshoot issues, and provide usability feedback based on customer interactions.
Work closely with the support team to understand customer pain points, which will help inform your testing strategies.
Continuously stay up-to-date with the latest product features and improvements, ensuring that our QA processes are aligned with current developments.

We're looking for an Automation Engineer to join our team and create awesome games at a company that puts quality at the forefront. Youll enable us to move fast all while maintaining excellent quality for our users. Youll also get the chance to be an industry leader in automation for mobile games.

Responsibilities:
Design, build, and integrate AI-powered tools that solve real internal needs.
Use LLM APIs (like OpenAI) to create solutions for code generation, testing, documentation, and more.
Understand internal pain points and translate them into scalable AI solutions.
Own projects end-to-end from idea to working solution.
Conduct prompt engineering, experiment with fine-tuning, and evaluate different AI models.