Job Description
Mandatory Skills
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• Playwright with TypeScript (Strong TypeScript coding experience)
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• CI/CD
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• BDD automation using Cucumber
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• Strong experience with .NET Core / .NET Framework applications
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• API automation using Rest Assured or RestSharp
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• Hands-on experience using AI-assisted development tools such as GitHub Copilot, Claude, Gemini, or similar AI coding assistants for test automation development
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• Experience debugging, reviewing, validating, and optimizing automation code generated by AI assistants to ensure maintainability, reliability, and adherence to coding standards
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• Mobile testing using Appium with cloud platforms such as Sauce Labs, Perfecto, or BrowserStack.
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• Exposure to Applitools, Jira integrations (AssertThat BDD, Zephyr, Xray), and Service Virtualization is a plus.
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Job Responsibilities
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• Minimum 15+ years of experience in building automated solutions to cover UI frontend, middle tier, and backend interfaces and services
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• Leads the design and implementation of enterprise test automation frameworks, methodology and tool integration for all teams
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• Provides automation expertise, training and coaching to team members
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• Determines range and depth of activities required for developing or customizing complex test automation frameworks, researching and onboarding automation tools for IT
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• Deliver a robust automation framework built upon established and proven open source or commercial tools to support Agile/Scrum development, DevOps and CI/CD
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• Design and architect modular and reusable automated testing solutions that satisfy client requirements
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• Research, evaluation, and deployment of new test tools
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• Trains teams to implement expanded automation coverage by adding automated environment validation, smoke and functional test scripts to CI/CD pipeline
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• Identifies and directs the implementation of test automation related improvements that positively impact software delivery across the enterprise
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• Be familiar with various automated tests tools for both front end and back end testing
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• Ability to lead workshops, including the gathering/documenting of requirements and use-cases and recommendation of envisioned processes
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• Ability to assess functional and technical gaps in designs
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• Support continuous improvement processes, analyzing problems and recommending actions for effective resolution
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• Ability to adapt to a fast paced continually changing business and work environment while managing multiple priorities
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• Design, develop and maintain API automation frameworks supporting authentication, request/response validation, schema validation, and integration with UI automation.
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• Provide automation leadership, mentoring, technical guidance, and code reviews for automation engineers.
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• Effectively utilize AI-assisted development tools to accelerate automation development while ensuring generated code meets enterprise coding, quality, and security standards.
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• Promote automation best practices and continuous quality engineering across Agile development teams.
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Preferred / Nice to Have
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• Experience implementing AI-driven end-to-end Quality Engineering across the Software Development Lifecycle (SDLC), including:
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• Jira story grooming and review
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• Acceptance criteria validation
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• Test case generation
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• BDD feature file generation
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• Test automation development
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• Test execution and reporting
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• End-to-end traceability between requirements, test cases, automation, defects, and execution results
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• Experience working with AI-powered automation workflows, intelligent test generation, and AI agents that improve software quality and engineering productivity.
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• Experience with cross-browser automation testing using Playwright across Chromium, Firefox, WebKit, and Microsoft Edge.
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• Experience with Visual AI testing using Applitools.
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• Experience with Jira integrations such as Zephyr, Xray, and AssertThat BDD.
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• Experience with Service Virtualization tools.
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• Experience with cloud execution platforms such as Sauce Labs, BrowserStack, or Perfecto.
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• Experience validating backend systems using SQL and database queries.
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• Experience with Git, GitHub, Azure DevOps, and modern source control practices.
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• Exposure to prompt engineering and AI-assisted software development best practices.
