AI Quality Engineer
Macpower Digital Assets Edge
Key Responsibilities:
- Design robust test scenarios to validate AI agent behavior and performance.
- nalyze Product Requirement Documents (PRDs) to extract testing requirements and ensure comprehensive coverage.
- Conduct performance testing of AI systems to identify bottlenecks and ensure scalability.
- Utilize agentic tools such as Windsurf, Claude Code, and Cursor for advanced automation tasks.
- Implement AI-powered Selenium plugins, including Healenium and Applitools Eyes, for visual and functional testing.
- Integrate QA automation with Master Control Program (MCP) for centralized management.
- Test and integrate REST and SOAP APIs for seamless system connectivity.
- nalyze business workflows to identify pain points and automation opportunities.
- utomate data-intensive tasks using Excel techniques.
- Industry tools : JIRA, AZDO (Azure DevOps), Balsamiq, MS Visio.
- Automation tools : QTP, WinRunner, Visual Studio, Selenium.
- Creating, executing, and managing automation scripts.
- SQL Server, LoadRunner, JMeter for database management and performance testing.
- Version control: Git, GitHub, GitLab.
- CI/CD pipelines : Jenkins, Azure DevOps.
- gile and Scrum methodologies.
- End-to-end defect lifecycle management, including logging, tracking, and verifying fixes.
- Strong analytical skills for PRD analysis, workflow review, and identifying AI automation opportunities.
- Bachelor's degree in Computer Science, Information Technology, or related field.
- 5+ years total relevant experience.
- NY local resident preferred.
- English native or bilingual proficiency.
Vacancy posted 3 days ago
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