QA Lead/Architect (Berkeley Heights)

Mandatory Skills

• Playwright with TypeScript (Strong TypeScript coding experience)

• CI/CD

• BDD automation using Cucumber

• Strong experience with .NET Core / .NET Framework applications

• API automation using Rest Assured or RestSharp

• Hands-on experience using AI-assisted development tools such as GitHub Copilot, Claude, Gemini, or similar AI coding assistants for test automation development

• Experience debugging, reviewing, validating, and optimizing automation code generated by AI assistants to ensure maintainability, reliability, and adherence to coding standards

• Mobile testing using Appium with cloud platforms such as Sauce Labs, Perfecto, or BrowserStack.

• Exposure to Applitools, Jira integrations (AssertThat BDD, Zephyr, Xray), and Service Virtualization is a plus.

Job Responsibilities

• Minimum 15+ years of experience in building automated solutions to cover UI frontend, middle tier, and backend interfaces and services

• Leads the design and implementation of enterprise test automation frameworks, methodology and tool integration for all teams

• Provides automation expertise, training and coaching to team members

• Determines range and depth of activities required for developing or customizing complex test automation frameworks, researching and onboarding automation tools for IT

• Deliver a robust automation framework built upon established and proven open source or commercial tools to support Agile/Scrum development, DevOps and CI/CD

• Design and architect modular and reusable automated testing solutions that satisfy client requirements

• Research, evaluation, and deployment of new test tools

• Trains teams to implement expanded automation coverage by adding automated environment validation, smoke and functional test scripts to CI/CD pipeline

• Identifies and directs the implementation of test automation related improvements that positively impact software delivery across the enterprise

• Be familiar with various automated tests tools for both front end and back end testing

• Ability to lead workshops, including the gathering/documenting of requirements and use-cases and recommendation of envisioned processes

• Ability to assess functional and technical gaps in designs

• Support continuous improvement processes, analyzing problems and recommending actions for effective resolution

• Ability to adapt to a fast paced continually changing business and work environment while managing multiple priorities

• Design, develop and maintain API automation frameworks supporting authentication, request/response validation, schema validation, and integration with UI automation.

• Provide automation leadership, mentoring, technical guidance, and code reviews for automation engineers.

• Effectively utilize AI-assisted development tools to accelerate automation development while ensuring generated code meets enterprise coding, quality, and security standards.

• Promote automation best practices and continuous quality engineering across Agile development teams.

Preferred / Nice to Have

• Experience implementing AI-driven end-to-end Quality Engineering across the Software Development Lifecycle (SDLC), including:

• Jira story grooming and review

• Acceptance criteria validation

• Test case generation

• BDD feature file generation

• Test automation development

• Test execution and reporting

• End-to-end traceability between requirements, test cases, automation, defects, and execution results

• Experience working with AI-powered automation workflows, intelligent test generation, and AI agents that improve software quality and engineering productivity.

• Experience with cross-browser automation testing using Playwright across Chromium, Firefox, WebKit, and Microsoft Edge.

• Experience with Visual AI testing using Applitools.

• Experience with Jira integrations such as Zephyr, Xray, and AssertThat BDD.

• Experience with Service Virtualization tools.

• Experience with cloud execution platforms such as Sauce Labs, BrowserStack, or Perfecto.

• Experience validating backend systems using SQL and database queries.

• Experience with Git, GitHub, Azure DevOps, and modern source control practices.

• Exposure to prompt engineering and AI-assisted software development best practices.