Job Title: AI-Driven Quality Engineering Lead/Architect (QA Automation)
Work Mode: 100% Remote
Job Type: Contract / Full-Time
Job Description
We are looking for an experienced Senior QA Automation Engineer / AI-Driven Quality Engineering Lead to design, develop, and implement scalable test automation frameworks and modern quality engineering practices. The ideal candidate will have strong hands-on experience with UI automation, API testing, CI/CD integration, and AI-powered testing tools.
The candidate will also establish automation standards, governance practices, and review processes while enabling QA and development teams to adopt modern automation frameworks and AI-assisted quality engineering solutions.
Key Responsibilities
- Design, develop, and maintain scalable test automation frameworks using Playwright, Selenium WebDriver, and Cypress.
- Implement UI, API, integration, and contract testing strategies.
- Apply Page Object Model (POM) and Screenplay design patterns.
- Develop automated test scripts using Python, Java, TypeScript, and JavaScript.
- Leverage AI-powered development and testing tools such as GitHub Copilot, Claude Code, Cursor, and Playwright MCP.
- Implement AI-enabled and agentic QE workflows to improve testing efficiency and automation coverage.
- Establish automation standards, governance, coding guidelines, and quality review gates.
- Integrate automated testing frameworks into CI/CD pipelines using GitHub Actions, GitLab CI, Azure Pipelines, and Jenkins.
- Implement API and contract testing using REST Assured, Karate, Postman/Newman, and Pact.
- Support mobile automation testing using Appium, BrowserStack, and Sauce Labs.
- Develop synthetic test data strategies, data masking, and service virtualization using WireMock.
- Monitor automation effectiveness through reporting tools such as Allure and quality dashboards.
- Track automation stability, test flakiness, defect leakage, and overall quality metrics.
- Collaborate with QA, development, DevOps, and business teams to improve software quality.
- Mentor and enable QE and development teams in automation frameworks, best practices, and AI-powered testing tools.
Required Technical Skills
UI Automation:
- Playwright
- Selenium WebDriver
- Cypress
- Page Object Model and Screenplay patterns
API and Contract Testing:
- REST Assured
- Karate
- Postman/Newman
- Pact
Programming Languages:
- Python
- Java
- TypeScript / JavaScript
AI-Powered Testing Tools:
- GitHub Copilot
- Claude Code
- Cursor
- Playwright MCP
- Ascendion AAVA agentic QE workflows
Mobile Automation:
- Appium
- BrowserStack
- Sauce Labs
CI/CD and DevOps:
- GitHub Actions
- GitLab CI
- Azure Pipelines
- Jenkins
- Docker
Test Management and Reporting:
- Jira
- Azure DevOps
- TestRail
- Xray
- qTest
- Allure
Test Data and Environment Management:
- Synthetic test data generation
- Data masking
- WireMock
Preferred Qualifications
- Experience building enterprise-level automation frameworks from the ground up.
- Experience implementing AI-assisted and agentic quality engineering workflows.
- Strong understanding of CI/CD-driven test automation.
- Experience defining automation standards, governance, and quality gates.
- Ability to mentor and enable QA and development teams.
- Experience measuring automation effectiveness through flakiness, defect leakage, and quality metrics.
