Quality Assurance Engineer

The Quality Assurance Engineer is responsible for ensuring the quality and reliability of applications built on the Relativity eDiscovery platform. Work closely with the development team to design, implement, and execute comprehensive test strategies. Maintain high-quality standards and deliver a seamless user experience. Key Responsibilities Test Planning and Execution: Develop test plans, test cases, and test scripts to verify and validate functionality, performance, and reliability of Relativity eDiscovery Apps. Manual Testing: Perform manual testing to identify functional bugs, usability issues, and discrepancies across different environments. Automated Testing: Design and implement automated testing frameworks to streamline the testing process. Integration Testing: Test integrations between Relativity and third-party platforms via REST APIs. Bug Tracking and Reporting: Document, track, and manage defects using bug-tracking tools. Regression Testing: Perform regular regression testing to ensure new changes do not negatively affect existing functionality. Collaboration: Work closely with cross-functional teams to understand requirements and ensure comprehensive testing coverage. Documentation: Maintain clear and concise test documentation, including test cases, test results, and defect reports. Continuous Improvement: Contribute to the development of best practices and process improvements for testing workflows. Customer Focus: Ensure all releases meet quality standards to support end-user satisfaction. Key Technical Skills Relativity eDiscovery Platform: Strong understanding of Relativity, including its features, workflows, and APIs. REST API Testing: Experience with testing and troubleshooting RESTful APIs. Automated Testing: Experience in building automated testing frameworks using tools like Selenium, Cypress, etc. Testing Tools: Familiarity with software testing tools for defect tracking and test case management. Continuous Integration/Continuous Delivery (CI/CD): Understanding of CI/CD pipelines and how automated tests fit into these processes. Database Knowledge: Understanding of SQL for database testing and validating data integrity. Agile Methodologies: Experience working in Agile environments and familiarity with Scrum or Kanban frameworks. Soft Skills Collaboration and Teamwork: Strong ability to work collaboratively with developers and stakeholders. Problem-Solving: Ability to troubleshoot complex issues and recommend solutions. Attention to Detail: High degree of attention to detail to identify issues and defects. Adaptability: Ability to quickly adapt to new tools and technologies. Communication Skills: Strong verbal and written communication skills. Time Management: Ability to prioritize tasks and meet deadlines in a fast-paced environment.