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Test Automation (Playwright with TypeScript
Job in
Berkeley Heights, Union County, New Jersey, 07922, USA
Listed on 2026-08-22
Listing for:
Mphasis
Full Time
position Listed on 2026-08-22
Job specializations:
-
Software Development
Software Testing, AI QA / Validation Engineer
Job Description & How to Apply Below
Test Automation (Playwright with Type Script)
(BOLDED items are Mandatory)
Mandatory Skills
- Playwright with Type Script (Strong Type Script coding experience)
- Strong experience with .NET Core / .NET Framework applications
- API automation using Rest Assured or Rest Sharp
- Hands-on experience using AI-assisted development tools such as Git Hub 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
- Exposure to Applitools, Jira integrations (Assert That 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, Type Script, Cucumber, API automation (Rest Assured/Rest Sharp), 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, Type Script, AI-assisted software development, automation frameworks, and emerging testing methodologies.
- Integrate automation suites with CI/CD platforms such as Jenkins, Git Hub Actions, or Azure Dev Ops.
- Promote automation best practices and continuous quality engineering across Agile development teams.
- Experience with performance testing using JMeter, Load Runner, 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 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 Visual AI testing using Applitools.
- Experience with Jira integrations such as Zephyr, Xray, and Assert That BDD.
- Experience with Service Virtualization tools.
- Experience validating backend systems using SQL and database queries.
- Experience with Git, Git Hub, Azure Dev Ops, and modern source control practices.
- Exposure to prompt engineering and AI-assisted software development best practices.
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