Strata Decision Technology

Strata Decision Technology

QA Engineer

Chicago, IL

Sponsorship not specifiedDetected 9 days ago
Object-Oriented ProgrammingSQLAgileTest AutomationManual TestingProblem Solving

About the role

  • As a QA Engineer, you will play a key role in ensuring the quality, reliability, and performance of our software solutions.

Responsibilities

  • You will develop deep expertise in Strata's products and the technologies that support them while collaborating closely with Product, Engineering, and Consulting teams to deliver solutions that meet customer needs and uphold our high standards of quality.
  • Create and update test cases and test scenarios due to changes in product functionality.
  • Identify, document, and track defects found during testing.
  • Perform thorough regression testing when defects are fixed.
  • Evaluate product development and quality assurance processes, identify areas for improvement, and implement solutions that will have the greatest impact.
  • Develop comprehensive end-to-end test cases at the application level.

Requirements

  • 1-2 years of professional experience in software quality assurance.
  • Strong experience with QA methodology
  • Experience with or interest in using AI-assisted tools to improve software testing and test automation
  • Experience with one of the leading test automation tools and frameworks
  • Experience with at least one object-oriented programming language
  • Knowledge and experience working with Agile development methodology
  • Strong self-motivation, and the ability to work effectively with limited guidance when necessary

Benefits

  • At Strata, we power the mission-critical industries that shape our society, including Healthcare, Financial Institutions, and Higher Education.
  • Design, develop, and maintain automated tests where applicable, including the use of AI-assisted tools to improve test coverage and maintainability.

This listing is sourced directly from Strata Decision Technology's careers page and normalized into a canonical job model.