JOIN RESMED: A GLOBAL LEADER IN DIGITAL HEALTH

At ResMed, we’re changing lives with every breath. As a global leader in the design, manufacture, and distribution of innovative solutions for the diagnosis, treatment, and management of respiratory conditions, our passion for innovation drives everything we do. Since our inception, sustained growth has been fueled by our commitment to delivering world-class products and groundbreaking digital health experiences.

LET’S TALK QUALIFICATIONS AND EXPERIENCE:

• Bachelor’s degree in Computer Science or a related technical field involving coding
• 5+ years of experience in software testing, including manual and automated testing
• Proven ability to develop and execute automated test scripts using tools like Cypress and Playwright, with hands-on experience testing across iOS and Android platforms, and integrating with AWS-based environments
• Experience designing and maintaining test automation frameworks in JavaScript or Python
• Familiarity with mobile test automation tools and platforms such as UI Testing, XCUITest (iOS), UI Automator (Android), and experience testing on both Android and iOS devices
• Strong knowledge of REST API testing with tools like Rest Assured and JMeter
• Hands-on experience with cloud-based architectures, including microservices, multitenancy, and batch services
• Proficiency in AWS and continuous integration tools such as GitHub Actions or similar
• Experience using tools and platforms like JIRA, Confluence, Git and Cucumber
• Understanding of Agile and Scrum methodologies and the product development lifecycle
• Strong debugging, troubleshooting, and problem-solving skills
• Ability to work independently and ramp up quickly in complex environments
• Excellent communication skills—both verbal and written—for working with technical and non-technical teams
• Prior experience in commercial, regulated, or medical device environments is preferred

• Leverage AI-powered tools (e.g., GitHub Copilot, ChatGPT, custom LLMs) to accelerate test case generation, automation script development, and step definition creation.
• Design, develop, and maintain intelligent test automation frameworks that incorporate AI to improve scalability, accuracy, and maintainability.
• Implement machine learning techniques and data analysis to identify high-risk areas, guide exploratory testing, and prioritize test coverage.
• Build and optimize CI/CD pipelines that integrate AI-driven static code analysis, test selection, and failure prediction mechanisms.
• Collaborate with development and quality teams to define and evolve strategies for AI-assisted quality assurance, ensuring testability is built into product design.
• Evaluate and introduce AI-based test optimization tools to reduce redundant testing and improve regression cycles.
• Monitor and maintain automation coverage using AI tools to detect gaps, outdated tests, and potential redundancies in the test suite.
• Participate in code reviews and architecture discussions, offering insight into how AI can support testability, performance validation, and risk assessment.
• Mentor junior engineers in the use of AI-driven tools for test development and debugging workflows.
• Research and stay informed on the latest trends in AI for software testing, including generative testing, predictive QA, autonomous test agents, and prompt engineering.
• Contribute to cross-functional AI initiatives and help shape internal best practices around responsible AI usage in quality engineering.
• Perform traditional test responsibilities (e.g., regression, smoke, functional testing) while continuously enhancing workflows through intelligent automation.
• Collaborate with global teams to align on AI adoption strategy, data governance, and quality metrics enhanced through AI.
• Support product reliability by using AI to proactively detect anomalies, analyze defect trends, and recommend test improvements.