What are the responsibilities and job description for the QA position at MOATABLE US HOLDCO INC?
Description
We are seeking a highly motivated and detail-oriented Quality Assurance Specialist to join our team. As a Quality Assurance Specialist, you will play a vital role in ensuring the quality and reliability of our software products. Your attention to detail, strong analytical skills, and passion for delivering high-quality solutions will be crucial in maintaining our standards of excellence.
Requirements
Responsibilities:
Develop and execute comprehensive test plans and test cases to ensure the quality and reliability of our software products.
Collaborate with cross-functional teams, including developers, product managers, and designers, to identify and address software defects and usability issues.
Conduct thorough testing of software applications, including functional, regression, performance, and security testing.
Document and communicate test results, defects, and potential areas for improvement to the development team.
Participate in the design and implementation of automated testing frameworks and tools to enhance the efficiency and effectiveness of the testing process.
Continuously monitor and improve the overall quality assurance processes and methodologies.
Stay up-to-date with industry best practices and emerging trends in quality assurance.
Qualifications:
Proven work experience as a Quality Assurance Specialist or similar role.
Strong knowledge of software QA methodologies, tools, and processes. (e.g. pytest, selenium )
Experience in developing and executing test plans and test cases for complex software applications.
Familiarity with various types of testing, including functional, regression, performance, and security testing.
Solid understanding of software development life cycle (SDLC) and agile methodologies.
Excellent analytical and problem-solving skills with a keen attention to detail.
Strong written and verbal communication skills in English.
Ability to work independently and collaboratively in a fast-paced environment.
Bachelor's degree in Computer Science, Engineering, or a related field is preferred.
Possesses a certain level of experience in testing AI related platforms is preferred.
