Test Planning and Execution
• Develop, document, and execute test plans and test cases for assigned features.
• Perform exploratory and automated testing to ensure software functionality, reliability, and performance.
• Conduct regression testing to ensure new code does not adversely impact existing functionality.
• Collaborate with development teams to understand requirements, expected agent behavior, and human-in-the-loop flows, and identify potential quality issues early.
• Participate in code reviews, design discussions, and sprint planning, and contribute to the design and implementation of enhancements to the team’s test systems.
Test Automation and CI/CD
• Create and maintain Playwright end-to-end tests and Vitest component tests using the team’s established frameworks and patterns.
• Execute and maintain contract tests and API tests using the team’s established tooling.
• Test streaming, loading, and error states, including slow and failed agent responses.
• Execute automated test suites in GitHub Actions, evaluate results, and fix failing scripts to maintain a high pass rate.
• Create and maintain synthetic test data.
• Follow and help reinforce the team’s testing processes and automation standards, holding peers accountable constructively and making sure the team understands the risks of exceptions.
• Run automated axe-core accessibility checks and manual screen reader tests (JAWS, NVDA, VoiceOver) against WCAG 2.1/2.2 AA.
Defect Management and Quality Reporting
• Identify, isolate, document, and track defects, working closely with developers to ensure timely resolution.
• Analyze test and evaluation results, generate quality metrics, and report on software quality status to the team and stakeholders.
• Present work in Agile ceremonies, participate in knowledge-sharing sessions, and seek feedback to continuously improve skills.
AI-Enabled Quality Engineering
• Utilize approved AI-assisted engineering tools to accelerate test case design, test script development, test data generation, documentation, and troubleshooting.
• Evaluate and validate AI-generated tests, scripts, and analysis for correctness, security, maintainability, compliance, and business appropriateness before use.
• Learn and adopt the prompts, skills, agents, and AI-assisted testing patterns defined by the team and share improvements that benefit the team.
• Identify opportunities to improve testing productivity and quality through AI-enabled workflows and automation.
Governance and Compliance
• Follow enterprise policies governing AI usage, intellectual property protection, security, privacy, PHI handling, and Responsible AI practices.
• Ensure no confidential, regulated, or protected information (including PHI in test data) is used with unapproved AI services or tooling; use synthetic data for testing.
• Participate in peer reviews and validation processes for AI-assisted solutions.