What are the responsibilities and job description for the QA QE Lead/Architect position at MphasiS Corporation USA?
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 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.
Salary : $100,000 - $120,000