Geared toward quality engineers comfortable with data-driven testing and CI/CD pipelines, this role is based in Hyderabad and requires collaboration across development and product teams in a fast-paced Agile environment.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Dnb via Lever
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.
Key Responsibilities::
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
Key Requirements::
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
All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
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Source: Dnb careers (Lever)