What are the responsibilities and job description for the Architect position at Mphasis?
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.
- 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.
- 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.