QA Engineer

• Develop an AI-powered test management tool covering requirements review, test cases, executions, results, traceability, and risk-based regression prioritization.
• Design and validate requirements and design documentation with the QA team.
• Migrate existing test cases and integrate with automated tests and Cognira Test Hub.
• Build an AI-based hybrid API and UI performance testing framework using k6/xk6, TypeScript, Docker, Go, CI/CD, Grafana, and HTML reports.
• Create environment profiles, performance scenarios, dashboards, reports, documentation, and baseline campaigns.
• Analyze authorized application logs to identify errors, anomalies, and related events.
• Reconstruct incident timelines and generate evidence-based reproduction steps and potential root causes.
• Generate investigation summaries and bug report drafts with evidence, reproduction steps, and confidence indicators.
• Build a historical incident knowledge base and classify new incidents against similar historical cases.
• Provide a CS-friendly interface or structured output for investigation results and classification suggestions.
• Evaluate accuracy, usefulness, and potential time savings; document architecture, limitations, and future improvements.

Explore Quality Assurance Intern, Customer Services Intern at Cognira. Review requirements and application details.