IgniAI Technologies - Software Quality Assurance Engineer

Position Summary : We are seeking an experienced Software Quality Assurance (QA) Engineer to support the verification and quality assurance of connected medical device products and cloud-based healthcare applications hosted on AWS. This role will ensure software quality, regulatory compliance, cybersecurity, interoperability, and data integrity across the complete ecosystem, including embedded software, mobile/web applications, APIs, cloud infrastructure, and backend services. Key Responsibilities : Medical Device Software Quality Assurance : - Develop and execute Software Verification plans, protocols, and reports for medical device software. - Review software requirements, architecture, design documents, and risk management files for completeness and testability. - Create and maintain test cases for embedded software, desktop applications, web portals, and cloud services. - Verify software functionality, reliability, usability, performance, and security requirements. - Execute manual and automated testing throughout the software development lifecycle. - Support design verification, system validation, and release readiness activities. Connected Device & Cloud Application Testing : - Validate end-to-end workflows between medical devices, web applications, APIs, and AWS cloud services. - Verify secure transmission, storage, and retrieval of data. - Test cloud-hosted applications for functionality, availability, scalability, recoverability, and reliability. - Validate interoperability between medical devices and cloud services. - Perform integration testing across devices, network, cloud, and third-party systems. Cybersecurity & Data Integrity Testing : - Perform testing of security controls and cybersecurity risk mitigations. - Verify user authentication, authorization, encryption, and access controls. - Verify protection of data at rest and in transit. Test Automation & CI/CD : - Develop and maintain automated test frameworks and regression test suites. - Integrate automated testing into CI/CD pipelines. - Create performance, load, and API test automation. - Generate traceability matrices linking user needs, system requirements, software requirements, risk controls, and verification test cases.