S&P Global - New York, NY
posted 4 months ago
As a QA Engineer at S&P Global, you will play a crucial role in the organization’s digital transformation initiatives, focusing on data digitization, process optimization, and enhancing business agility for end users. You will be part of a dedicated team that includes five developers and two quality assurance engineers, all operating under the SAFe methodology. Your primary responsibility will be to lead the quality assurance efforts on projects that align with the organization’s goals and vision. This position offers a unique opportunity to work with cutting-edge technologies such as generative AI, big data, and cloud computing, allowing you to grow and learn in a dynamic environment. In this role, you will design and develop automation and performance solutions that adhere to organizational standards. You will be responsible for building reliable, reusable, and maintainable automated regression suites and test harnesses. Additionally, you will create and maintain tools and frameworks that simplify testing scenarios, ensuring that quality code is at the forefront of your work. Your expertise will be essential in designing and developing comprehensive test plans and test cases based on functional and design specifications. You will execute these test cases, analyze the results, and report findings to the project teams, ensuring that all business functionality is delivered on time and meets the required quality standards. Your strong testing skills will enable you to provide guidance and support to project staff as needed, ensuring that best practices are followed and that testing activities remain on schedule. You will focus on building efficient solutions for various testing requirements, including web, services/APIs, databases, and multi-browser UI testing. This position not only allows you to contribute to significant projects but also positions you at the forefront of technological advancements within the organization.