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Test Automation (Playwright with TypeScript

Job in Berkeley Heights, Union County, New Jersey, 07922, USA
Listing for: Mphasis
Full Time position
Listed on 2026-08-22
Job specializations:
  • Software Development
    Software Testing, AI QA / Validation Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Test Automation (Playwright with Type Script)

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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