Architect Advanced

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.