RRemoteville
Estenda Solutions logoEstenda Solutions

Senior Software Quality Assurance Engineer

Skills
Computer ScienceDevopsContextData IntegrityDatabasesEmergency MedicineISO Standards
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 4-year degree in a technical field such as Computer Science Data Science Information Systems Engineering or related discipline
  • 7-8 years of experience as a QA Engineer Software Test Engineer or similar role
  • Strong knowledge of test planning test case design defect management traceability test metrics and risk-based testing
  • Experience testing web applications APIs front-end and back-end functionality integrations workflows business rules and data-driven scenarios
  • Experience with tools such as Postman Jira Azure DevOps or similar tools
  • Experience building and maintaining automated tests using Playwright Cypress Selenium or similar frameworks
  • Ability to understand relational databases ER diagrams data workflows and table relationships
  • Ability to write SQL queries to validate data accuracy and integrity
  • Strong analytical problem-solving communication and documentation skills
  • Organized accountable flexible and collaborative working style
  • Interest in healthcare technology and building software that performs well in real world environments

Nice to have

  • Organized
  • Accountable
  • Flexible
  • Collaborative
  • Analytical
  • Problem-solving

Day to day

  • Design and execute test strategies for complex healthcare and medical software applications
  • Create and maintain test cases exploratory approaches regression suites and risk-based testing strategies
  • Test front-end and back-end functionality APIs workflows integrations business rules databases and AI outputs while using automation where it adds value
  • Write clear defect reports document risks and communicate findings to help the team make informed decisions
  • Work within an ISO 13485 registered quality management system and applicable regulatory expectations
  • Use approved AI tools to support productivity test design documentation analysis and testing efficiency