Job Title: Software Development Engineer in Test (SDET) Gen - AI

Job Responsibilities:

•  Utilize Gen AI analyze to user stories and acceptance criteria, generating comprehensive test scripts that accurately represent the desired features and functionalities.

•  Leverage AI UI for verification, ensuring that our user interfaces meet the defined acceptance criteria and provide a seamless user experience.

•  Use Gen AI for API output verification, making sure that our APIs are returning the correct data and behaving as expected.

•  Create and gather test data through APIs, ensuring a diverse range of data is available for thorough and effective testing.

•  Design, develop, and manage automated testing frameworks and tools using Python, JavaScript, and other relevant technologies.

•  Actively participate in software design and code review sessions, providing valuable input based on your understanding of testing requirements.

•  Collaborate closely with the software development team to identify and mitigate defects, clarifying and identifying missing or ambiguous requirements early in the development lifecycle.

•  Regularly review and validate the accuracy of generated test scripts, using both manual review and testing automated tools.

•  Apply your in-depth understanding of data structures and algorithms ensure to effective and efficient test script generation and execution.

Qualifications:

•  Proficient in Python and JavaScript, with a solid understanding of structures data and algorithms.

•  Experience in using AI tools for test script generation, specifically Gen AI.

•  Extensive knowledge and experience in software testing methodologies, including user stories and acceptance criteria.

•  Demonstrated experience in UI and API testing.

•  Experience in generating and retrieving test data through APIs.

•  Strong coding skills and an understanding of software design principles.

•  Experience with Robotic Process Automation (RPA) is a plus.

•  Exceptional analytical and problem-solving skills.

•  Strong attention to detail and the ability identify to potential issues.

Degree:

•  Bachelor's degree in Computer Science, Information Technology, or a related field.