Quality Assurance Analyst responsible for manual and automated testing of software at Nucor. Collaborating with teams to assess software quality and deliver high-performing solutions.
Responsibilities
Evaluate software quality through manual and automated testing to ensure functionality, data integrity, and performance meet defined standards.
Participate in test planning, execution, and validation for customized software solutions used by internal and external stakeholders.
Follow established test processes while contributing to the continuous improvement and evolution of testing standards and practices.
Detect, document, and clearly communicate software defects, bugs, and data inconsistencies to support timely resolution.
Partner closely with Developers, Testers, and Product Owners to support high-quality software delivery.
Take ownership of assigned testing efforts, apply enterprise-level impact analysis, and hold yourself and others accountable to high quality standards that support long-term value.
Requirements
Bachelor’s degree in Computer Science, Information Technology, or related discipline
Equivalent combination of experience and education is also acceptable.
Five or more years of experience in IT Quality Assurance or a similar role.
Candidate must be legally authorized to work in the United States without sponsorship, now and in the future.
Experience in the metal building industry or, at minimum, in a manufacturing or industrial environment.
Hands-on experience with Quality Assurance tools and processes, including test automation frameworks and reporting tools.
Extensive experience in Microsoft DevOps for managing work as well as writing and executing Test Scripts.
Strong proficiency in Microsoft Excel for data analysis and reporting purposes.
Familiarity with Agile methodologies (Scrum or similar) and their application in QA and support environments.
Experience with data management tools (e.g., Microsoft SQL Server Management Studio) for troubleshooting and reporting.
Exposure to automation strategies and emerging technologies such as machine learning and AI for process improvement.
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