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AI-Driven Quality Engineering Lead/ Automation Architect

VBEST Software IncUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeRemote
LocationUnited States
DockerGitSeleniumCypressGitHub ActionsGitLab CIJavaJenkinsPlaywrightPostmanPythonGenerative AIRESTAzureJavaScriptTypeScriptJiraCI/CDAzure DevOps

Job description

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.

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