Testing & QA Engineer (Mid-Level)

Torch.AILeawood, KS
1d

About The Position

What You’ll Do Design and execute manual and automated test plans across UI, backend services, and data pipelines. Build and maintain automated test suites aligned to mission workflows. Support CI/CD testing stages by maintaining automated jobs and test coverage. Perform regression, integration, performance, and basic security testing. Validate data transformation correctness across ETL and fusion pipelines. Participate in code reviews to identify risk areas and improve testability. Track defects, collaborate with engineering teams, and verify fixes efficiently. Contribute to quality metrics and continuous improvement of test practices.

Requirements

  • 4+ years of professional QA/testing experience.
  • Experience writing automated tests using Selenium, Cypress, PyTest, JUnit, Postman/Newman, or similar tools.
  • Familiarity with CI/CD environments and test execution workflows.
  • Strong debugging and defect triage skills.
  • Proficiency in at least one programming language sufficient to write test automation scripts.
  • Ability to communicate clearly across technical teams.

Nice To Haves

  • Experience with performance testing tools (Locust, JMeter).
  • Familiarity with distributed systems or data-heavy applications.
  • Experience supporting secure deployments or high-side environments.
  • Familiarity with microservices and event-driven systems.

Responsibilities

  • Design and execute manual and automated test plans across UI, backend services, and data pipelines.
  • Build and maintain automated test suites aligned to mission workflows.
  • Support CI/CD testing stages by maintaining automated jobs and test coverage.
  • Perform regression, integration, performance, and basic security testing.
  • Validate data transformation correctness across ETL and fusion pipelines.
  • Participate in code reviews to identify risk areas and improve testability.
  • Track defects, collaborate with engineering teams, and verify fixes efficiently.
  • Contribute to quality metrics and continuous improvement of test practices.
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