QA Engineer -- Data Integration & Test Automation (with RPA/Power Platform/SFDC Experience) #3456719 Job at Axiom Path, Charlotte, NC

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  • Axiom Path
  • Charlotte, NC

Job Description

Job Description

Job Description

Be Part of a High-Performing Technology Team

Join a leading consumer goods organization recognized for innovation, excellence, and operational strength. The technology division empowers business users by developing, testing, and optimizing enterprise applications that streamline processes and deliver measurable impact. The team fosters collaboration, continuous learning, and excellence in software quality assurance and automation.

What’s In Store For You

This role offers the opportunity to influence digital transformation through quality assurance innovation and low-code automation. Work closely with agile teams to implement modern QA frameworks and solutions. On-site collaboration in Charlotte, NC provides access to a dynamic environment focused on growth and technical excellence.

How You Will Make An Impact

  • Recommend and implement software testing tools and best practices.
  • Develop automated and manual test scripts for enterprise applications.
  • Collaborate with QA and automation teams to standardize testing approaches.
  • Perform peer code reviews and document test methodologies.
  • Integrate QA testing into CI/CD pipelines.
  • Contribute to user story grooming and agile ceremonies.
  • Support low-code platform initiatives for business process optimization.

Are You an Experienced QA Engineer Ready to Make an Impact?

  • 3–5 years of QA experience in software testing and automation.
  • Proficiency with automation tools such as Selenium, Appium, UFT, or TestProject.
  • Hands-on experience with Azure DevOps, Quality Center, or Octane.
  • Skilled in ETL and API testing (Postman, Ready API).
  • Familiarity with CI/CD environments and test execution.
  • Exposure to low-code tools such as Microsoft Power Platform, Salesforce, or UiPath.
  • Strong analytical, communication, and problem-solving skills.
  • Degree in Computer Science preferred; equivalent experience considered.

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