RF-SMART

RF-SMART

Quality Assurance Engineer

Jacksonville, Florida, United States

Sponsorship not specifiedDetected 6 days ago
AWSSupply ChainManual TestingCommunicationCollaborationProblem Solving

About the role

  • The ideal person will have a strong passion for manual software testing and be responsible for ensuring the quality and functionality of our products.
  • This is a hybrid role based in Jacksonville, FL, offering flexibility and the opportunity to work with a diverse, innovative team.

Responsibilities

  • Test Planning and Execution: Develop, maintain, and execute detailed test cases based on product requirements and specifications
  • Requirements Analysis: Review and analyze system specifications and user stories to understand testing requirements and create comprehensive test strategies
  • Defect Management: Identify, document, and track software defects. Work closely with developers to reproduce issues and verify fixes
  • Test Documentation: Prepare and maintain test documentation including test cases, test data and test results
  • Regression Testing: Perform regression testing to ensure the new code changes do not adversely affect existing functionality
  • Develop, maintain, and execute detailed test cases based on product requirements and specifications
  • Prepare and maintain test documentation including test cases, test data and test results

Requirements

  • 5+ years of experience in manual software testing
  • Strong understanding of SDLC and QA methodologies

Nice to have

  • Knowledge or experience in the shipping, supply chain, warehouse industries is a plus
  • Knowledge of AWS infrastructure is a plus

Skills

  • Proficiency in creating detailed, comprehensive, well-structured test cases and test strategies
  • Ability to think critically and analytically with strong attention to detail
  • Excellent communication and teamwork skills
  • Contribute to the continuous improvement of testing processes, practices and tools

This listing is sourced directly from RF-SMART's careers page and normalized into a canonical job model.