Software Engineer II (R-20067)

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.

Partner with development and product teams to ensure product quality in a fast-paced Agile environment Create and maintain test strategies, test plans, test cases, test data and traceability for new features and defect fixes Write and maintain automated tests for data-validation workflows Integrate and maintain automated test suites within CI/CD pipelines to support continuous testing, quality gates and release validation throughout the software delivery lifecycle Perform manual functional, regression, integration, and exploratory testing when automation is not suitable Validate multi-tiered, data-driven applications processing large volumes of records Define and track quality metrics including defect counts, severity, test execution, coverage and release status Identify, document, report, track and verify issues through to resolution Perform root-cause analysis and collaborate on preventive quality improvements Support product deployments, release validation and QA sign-off Partner with support teams to reproduce and troubleshoot customer-reported issues Proactively improve quality through collaboration, automation, process improvement and innovative thinking Stay current with emerging AI technologies, tools, and best practices

Bachelor's degree in Computer Science, Information Systems or a related field, or equivalent relevant experience Typically 5-8 years of relevant experience, including 5+ years in software quality assurance or quality engineering Experience designing and executing functional, integration, system, regression and UAT testing Understanding of continuous integration, continuous delivery, quality gates, automated test reporting and release validation processes Strong defect management, root-cause analysis and troubleshooting skills Experience in manual testing across web, API, database and enterprise applications Experience in test automation using Playwright, Selenium, Robot Framework or similar tools Experience integrating automated test frameworks into CI/CD pipelines using GitHub Actions, Jenkins, Azure DevOps, GitLab CI/CD or similar platforms Experience with JIRA, Zephyr, Azure DevOps or similar test management tools Proficiency in Java, Python or C# for test automation and scripting Experience in SQL and database validation, including complex queries and joins Experience working in Agile/Scrum environments Knowledge of API testing using Postman, REST Assured or equivalent tools Demonstrated experience using AI tools such as Copilot, Cursor, Gemini, ChatGPT, or Claude to support test case generation, test automation, defect analysis, requirements reviews, CI/CD pipeline optimisation, and overall QA productivity improvements. Excellent analytical, written and verbal communication, cross-functional collaboration and stakeholder management skills