Job Description
- Analyze system requirements and specifications using AI assisted tools to identify gaps, inconsistencies, and potential risks.
- Design and maintain comprehensive, structured test plans and test cases based on intelligent test generation techniques.
- Execute manual and AI supported automated tests to validate software functionality, reliability, and performance.
- Identify, document, and manage defects using tools such as JIRA, leveraging AI for bug classification and prioritization.
- Perform regression testing using AI based test selection to ensure efficient and effective test coverage.
- Collaborate with developers, product managers, and QA teams to ensure quality throughout the software development lifecycle.
- Participate in Agile/Scrum ceremonies, contributing quality insights, testing updates, and risk assessments.
- Utilize AI driven analytics to monitor quality metrics, identify trends, and recommend process improvements.
- Continuously evaluate and enhance QA processes using data driven and AI supported quality assurance approaches.
- Develop and maintain automated test scripts and testing frameworks to improve testing efficiency and accuracy.
- Conduct functional, integration, system, usability, and performance testing across multiple software applications.
- Validate software releases against business requirements, technical specifications, and user expectations.
- Generate detailed test execution reports and communicate quality status to stakeholders and project teams.
- Support continuous integration and continuous deployment (CI/CD) pipelines by integrating automated testing processes.
- Stay updated with emerging software testing methodologies, AI powered QA tools, and industry best practices to improve overall software quality.