Mandatory Skills
• Playwright with TypeScript (Strong TypeScript coding experience)
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CI/CD
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BDD automation using Cucumber
· 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.
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.
Preferred / Nice to Have
· 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.
· Experience with Visual AI testing using Applitools.
· Experience with Jira integrations such as Zephyr, Xray, and AssertThat BDD.
· Experience with Service Virtualization tools.
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Experience with cloud execution platforms such as Sauce Labs, BrowserStack, or Perfecto.
· 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.
