AI QA Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Review and validate test results generated by AI. Conduct a thorough assessment of AI outputs for accuracy, completeness, and identification of false positives/negatives, utilizing your domain knowledge and judgment to ascertain pass/fail results.

• Execute manual test cases while performing targeted exploratory and edge-case testing. Direct human testing efforts towards critical areas: intricate workflows, boundary conditions, integration points, and scenarios lacking sufficient AI coverage.

• Take ownership of the QA strategy and execution for your team, which includes test planning, risk evaluation, and decisions regarding release readiness.

• Create and maintain automated tests using Playwright, adhering to Page Object Model (POM) design patterns, while extending POM coverage to ensure a scalable and maintainable automation suite.

• Utilize AI development tools (Claude, GitHub Copilot) as essential components of your workflow to generate test cases, develop automation scripts, troubleshoot failures, and enhance coverage growth.

• Log defects, monitor bugs, and offer clear, actionable recommendations for product improvements.

• Collaborate closely with development, product management, and delivery teams throughout the software development lifecycle (SDLC).

• Communicate effectively and clearly, managing multiple projects and priorities while working independently.

• Partner with our Customer Support team to address and triage complex application issues.

⛳️ Requirements

• A minimum of 3 years of experience in a QA role, with a robust foundation in both manual and automated testing.

• At least 2 years of practical experience with Playwright (preferred) or significant experience with a contemporary automation framework (Cypress, Selenium, WebdriverIO, etc.) and a readiness to quickly learn Playwright.

• Demonstrated ability to create and manage test plans, define testing strategies, and make risk-based decisions regarding release readiness.

• Familiarity with Xray or a similar test management tool that integrates with Jira.

• Strong proficiency in Jira, encompassing ticket workflows, bug reporting, sprint board management, and defect categorization.

• Comfortable operating in a fast-paced, collaborative, and dynamic Agile/Scrum environment.

• A solid understanding of what it entails to take ownership of "code quality" within a development team.

• Excellent verbal and written communication skills, with the capacity to articulate issues, priorities, and impacts in a clear and concise manner.

• Ability to engage and coordinate testing activities across multiple teams.

🏝️ Benefits

• Bonus

• Benefits