Quality Assurance Engineer (R-20005)

Dnb

Dublin

On-site

EUR 70,000 - 100,000

Full time

6 days ago
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Job summary

Dnb in Dublin seeks a Quality Assurance Engineer II to create and maintain tests ensuring software meets user and product needs. You will develop project test plans, track QA metrics, and document defects while integrating automated testing into CI/CD pipelines.

The role emphasizes AI tool adoption to improve test design, execution, and defect analysis, with collaboration across development and product teams in an Agile environment.

Qualifications

  • Bachelor’s degree or equivalent experience in CS/IS.
  • 5–8 years in software quality assurance.
  • Experience in manual testing across web, API, DB, and enterprise apps.
  • Experience with Playwright, Selenium, Robot Framework.
  • Experience CI/CD with GitHub Actions, Jenkins, Azure DevOps, GitLab CI/CD.
  • CI/CD, quality gates, release validation knowledge.
  • Proficiency in Java, Python or C# for test automation.
  • API testing with Postman or REST Assured.
  • SQL and database validation skills.
  • Experience Agile/Scrum.
  • Defect management and root-cause analysis.
  • Experience with JIRA/Zephyr/Azure DevOps.
  • AI tools adoption: Copilot, Cursor, Gemini, ChatGPT or Claude.
  • Excellent communication and stakeholder management.

Responsibilities

  • Work closely 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 web applications, REST APIs and 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.
  • Execute manual functional, regression, integration and exploratory testing where automation is not yet appropriate.
  • 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 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.

Skills

Manual testing
Automation testing
API testing
SQL queries
Agile/Scrum
Test management
Communication

Education

Bachelor’s degree in CS/IS or equivalent

Tools

Playwright
Selenium
Robot Framework
GitHub Actions
Jenkins
Azure DevOps
Postman

Job description

The Quality Assurance Engineer II creates and maintains tests to ensure software meets user and product needs. The role develops project test plans, defines and tracks quality assurance metrics, analyses software-quality data, documents defects, and supports issue resolution and continuous process improvement. The role also adopts AI tools and integrates automated testing within CI/CD pipelines to improve test design, automation, defect analysis, requirements review, release quality and overall QA productivity.

Responsibilities
  • Work closely 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 web applications, REST APIs and 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.
  • Execute manual functional, regression, integration and exploratory testing where automation is not yet appropriate.
  • 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 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.
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 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.
  • Understanding of continuous integration, continuous delivery, quality gates, automated test reporting and release validation processes.
  • Proficiency in Java, Python or C# for test automation and scripting.
  • Strong knowledge of API testing using Postman, REST Assured or equivalent tools.
  • Experience in SQL and database validation, including complex queries and joins.
  • Experience designing and executing functional, integration, system, regression and UAT testing.
  • Experience working in Agile/Scrum environments.
  • Strong defect management, root-cause analysis and troubleshooting skills.
  • Experience with JIRA, Zephyr, Azure DevOps or similar test management tools.
  • AI tools adoption: Demonstrated experience using Copilot, Cursor, Gemini, ChatGPT or Claude for test case generation, test automation, defect analysis, requirements review, CI/CD pipeline optimisation and QA productivity improvements.
  • Excellent analytical, written and verbal communication, cross-functional collaboration and stakeholder management skills.
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