QA Architect

Job Description

\n
• 15+ years of experience in building automated solutions to cover UI frontend, middle tier, and backend interfaces and services
\n
• Prior experience in large-scale quality engineering transformation projects.
\n
• Experience in Core banking, Deposits, Treasury, Credit Cards transaction process and payment
\n
• Expert implementing AI-driven end-to-end Quality Engineering across the Software Development Lifecycle (SDLC)
\n
• Expert working with AI-powered automation workflows, intelligent test generation, and AI agents that improve software quality and engineering productivity
\n
• Expert in design and implementation of Spec-Driven Model, methodology, development
\n
• Experience lead to design and implementation of enterprise test automation frameworks, methodology and tool integration for all teams
\n
• Hands-on experience using AI-assisted development tools such as GitHub Copilot, Claude, Gemini, or similar AI coding assistants for test automation development
\n
• Experience debugging, reviewing, validating, and optimizing automation code generated by AI assistants to ensure maintainability, reliability, and adherence to coding standards
\n
• Mobile testing using Appium with cloud platforms such as Sauce Labs, Perfecto, or BrowserStack.
\n
• Determines range and depth of activities required for developing or customizing complex test automation frameworks, researching and onboarding automation tools for IT
\n
• Deliver a robust automation framework built upon established and proven open source or commercial tools to support Agile/Scrum development, DevOps and CI/CD
\n
• Design and architect modular and reusable automated testing solutions that satisfy client requirements
\n
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
\n
• Playwright with TypeScript (Strong TypeScript coding experience)
\n
• SDD / BDD automation using Cucumber
\n
• Strong experience with .NET Core / .NET Framework applications
\n
• API automation using Rest Assured or RestSharp
\n
• Hands-on experience using AI-assisted development tools such as GitHub Copilot, Claude, Gemini, or similar AI coding assistants for test automation development
\n
• Experience debugging, reviewing, validating, and optimizing automation code generated by AI assistants to ensure maintainability, reliability, and adherence to coding standards
\n
• Mobile testing using Appium with cloud platforms such as Sauce Labs, Perfecto, or BrowserStack.
\n
• Exposure to Applitools, Jira integrations (AssertThat BDD, Zephyr, Xray), and Service Virtualization is a plus.
\n