Other

QA QE Lead/Architect

MphasiS Corporation USABerkeley Heights, NJ🇺🇸United States

Why this role stands out

This role offers a fantastic opportunity to shape enterprise test automation frameworks using cutting-edge AI tools and diverse technologies like Playwright, .NET Core, and Appium, with hybrid flexibility. If you are a seasoned QA professional with extensive experience in building robust automation solutions and enjoy mentoring teams, this position is perfect for you to make a significant impact. Apply today to leverage your expertise in this dynamic environment!

Quick overview

SeniorityMid Senior

Work modeHybrid

LocationBerkeley Heights, NJ, United States

SQLScrumAgileAzureBDDContinuous ImprovementCucumber.NETGitJiraOnboardingPlaywrightRESTTypeScript

Job description

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.