NTT DATA seeks a highly skilled Senior Quality Engineer/Senior QA Automation Engineer with over 8 years of experience to drive end-to-end test strategies. This role involves building scalable automation solutions and ensuring high product quality within an inclusive and forward-thinking organization. You will collaborate closely with development, DevOps, and business teams to achieve exceptional results.

This position is ideal for a quality-focused professional ready to contribute to innovative projects. You will play a key role in validating enterprise applications across various platforms and technologies, ensuring compliance and operational excellence. Join a global team that values responsible innovation and professional growth.

Design, develop, and maintain comprehensive automated test frameworks and suites for web, API, and desktop applications.

Create and execute UI automation scripts using Selenium with Java, TestNG, and Cucumber, alongside API automation with Postman and REST Assured.

Validate applications built on .NET Core, WPF, Angular, and TypeScript, ensuring functional integrity and seamless integration.

Develop and execute test plans encompassing functional, integration, regression, smoke, and end-to-end scenarios.

Collaborate with cross-functional teams to integrate automated tests into CI/CD pipelines, supporting continuous quality assurance and Terraform IaC validation.

Utilize AI coding assistants like GitHub Copilot to enhance test development efficiency and coverage. Work with MCP servers and support ITSM processes, audit readiness, and FinOps-aware testing.

Requires a minimum of 8 years in software quality engineering and test automation, with extensive hands-on experience in Selenium, Java, TestNG, and Cucumber Framework.

Proficiency in API testing using Postman and REST Assured is essential, alongside experience testing applications built with .NET Core, Angular, TypeScript, HTML, and CSS. Exposure to WPF application testing is also valued.

Solid understanding of T-SQL for database validation and working knowledge of AWS Infrastructure are necessary. Experience with CI/CD pipelines, Terraform IaC, AI coding assistants (GitHub Copilot), MCP servers, and ITSM processes is required.

Candidates should possess strong analytical and problem-solving skills, a keen understanding of Agile/Scrum methodologies, and the ability to contribute to test automation strategy and framework design.