QA Automation Engineer

Nanox.AI is the deep-learning medical imaging analytics subsidiary of Nanox. We develop AI-driven solutions to target highly prevalent chronic and acute diseases affecting large populations worldwide. Our technology analyzes routine medical CT scans for any clinical indication, helping identify patients with asymptomatic or undetected findings correlated with chronic conditions in cardiac, liver, and bone. By leveraging AI, Nanox.AI helps clinicians extract valuable and actionable clinical insights from medical imaging that otherwise may go unnoticed.

Be part of a team driving cutting-edge medical AI technology and make an impact! Join us at Nanox AI!

We are looking for an experienced, results-driven QA Automation Engineer to take full ownership of our test automation domain. You will play a critical role in ensuring product quality by developing and implementing advanced automation solutions while continuously improving testing processes.

Requirements:

B.Sc. in Computer Science or a related technical field.
3+ years of hands-on experience in automation testing development using Java and Python.
Experience with Bash scripting and Spring Boot.
Proven experience in developing and implementing automation infrastructure.
Hands-on experience with automation testing tools: Selenium, Cucumber, TestNG, Postman.
Proficiency in Linux, Mac, and Windows operating systems.
Experience working with databases: PostgreSQL, MongoDB.
Expertise in CI/CD automation using GitLab.
Strong ownership mentality – ability to take full responsibility and lead automation efforts end-to-end.
Strong analytical and problem-solving skills.
Proactive, responsible, and capable of working independently.

Responsibilities:

Lead the automation domain, including planning, developing, and maintaining automated testing infrastructure.
Develop and execute a comprehensive automation testing strategy in collaboration with the development team.
Design and implement automated tests for Backend, API, and Front-End components.
Continuously improve CI/CD processes using GitLab.
Perform Sanity, Regression, Performance, API, and Front-End testing.
Work in a multi-technology environment with Microservices, Cloud (AWS), Docker, and Kubernetes.
Investigate defects, utilize bug tracking systems (JIRA, Xray, Xporter), and drive quality improvement initiatives.