AI Quality Engineer

• AI Agent Test Scenario Creation: Designing robust and relevant test scenarios to validate AI agent behavior and performance.

• PRD Analysis: Analyzing Product Requirement Documents (PRDs) to extract testing requirements and ensure comprehensive test coverage.

• Performance Testing: Conducting thorough performance testing of AI systems to identify bottlenecks and ensure scalability.

• Agentic Testing: Utilizing agentic coding tools such as Windsurf, Claude Code, and Cursor for advanced automation tasks.

• Selenium AI Plugins: Implementing and leveraging AI-powered Selenium plugins, including Healenium and Applitools Eyes, for intelligent visual and functional testing.

• QA Automation with MCP Integration: Integrating QA automation processes with our Master Control Program (MCP) for centralized management and execution.

• APIs & Integrations: Testing and integrating with REST and SOAP APIs to ensure seamless connectivity between systems.

• Process Analysis Workflow Analysis: Analyzing complex business workflows to understand processes and identify pain points.

• Identifying Automation Opportunities: Proactively identifying areas within the QA lifecycle and business processes that can be optimized through AI automation.

• Excel Automation: Automating data-intensive tasks using Excel automation techniques.

Required Skills

• Minimum 5 years of experience with industry-standard tools such as JIRA, AZDO, Balsamiq, and MS Visio.

• Minimum 5 years of experience with automation tools including QTP, WinRunner, Visual Studio, and Selenium.

• Minimum 5 years of experience in creating, executing, and managing automation scripts effectively.

• Minimum 5 years of experience in utilizing SQL Server, LoadRunner, and JMeter for database management and performance testing.

• Minimum 5 years of experience in exhibiting strong understanding and practical experience with Agile and Scrum methodologies.

• Minimum 5 years of experience in using version control systems like Git and platforms such as GitHub or GitLab for collaborative development and test management.

• Minimum 5 years of experience in exhibiting proficiency in end-to-end defect life cycle management, including logging, tracking, and verifying fixes.

• Minimum 5 years of experience in integrating automated tests into Continuous Integration/Continuous Deployment (CI/CD) pipelines using tools like Jenkins or Azure DevOps.