Test Automation (Playwright with TypeScript)

Role: Test Automation (Playwright with TypeScript)

Berkeley Heights, NJ

Contract - W2

Mandatory Skills

• Playwright with TypeScript (Strong TypeScript coding experience)
• 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 8+ years of experience in designing and implementing automated testing solutions covering UI, API, middle-tier, and backend services.
• Design, develop, and maintain scalable automation frameworks using Playwright, TypeScript, Cucumber, API automation (Rest Assured/RestSharp), Appium, and modern automation best practices.
• Design and architect modular, reusable, and maintainable automation frameworks aligned with enterprise standards.
• Strong understanding of .NET Core/.NET Framework applications and the ability to analyze application architecture to develop effective automation strategies.
• Develop and maintain API automation frameworks supporting authentication, request/response validation, schema validation, and integration with UI automation.
• Design automation solutions supporting parallel execution, reusable components, and scalable execution across multiple environments.
• 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.
• Debug, review, refactor, and validate AI-generated automation scripts and framework components to ensure accuracy, maintainability, and long-term stability.
• Keep current with advancements in Playwright, TypeScript, AI-assisted software development, automation frameworks, and emerging testing methodologies.
• Integrate automation suites with CI/CD platforms such as Jenkins, GitHub Actions, or Azure DevOps.
• Promote automation best practices and continuous quality engineering across Agile development teams.
• Experience with performance testing using JMeter, LoadRunner, or equivalent tools is desirable.
• Analyze functional and technical requirements to identify automation opportunities and recommend optimal automation approaches.
• Support continuous improvement initiatives by enhancing automation framework stability, execution efficiency, maintainability, and reporting capabilities.
• Thrive in a fast-paced Agile environment while managing multiple priorities and delivering high-quality automation solutions.
• Drive automation strategy and enterprise-wide quality engineering improvements.

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.