Job Summary
RapidAI is the global leader in using AI to combat life-threatening vascular and neurovascular conditions. RapidAI is empowering physicians to make faster decisions for better patient outcomes, leading the next evolution of clinical decision-making and patient workflow. Based on intelligence gained from over 10 million scans in more than 2,000 hospitals in over 60 countries, the Rapid® platform transforms care coordination, offering care teams a level of patient visibility never before possible. RapidAI – where AI meets patient care.
- Minimum Qualification : Degree
- Experience Level : Senior level
- Experience Length : 5 years
Job Description/Requirements
- Technical Documentation: Document automation frameworks, tools, and processes to facilitate knowledge sharing and ensure maintainability by the wider team.
- Performance Optimization: Identify performance bottlenecks and areas for optimization within automation frameworks and tools, implementing solutions to improve efficiency and scalability across platforms.
- Collaboration and Support: Work closely with cross-functional teams, including developers, testers, and project managers, to understand requirements, provide technical support, and drive automation initiatives forward. Collaborate effectively with globally distributed teams, ensuring clear communication and coordination.
Education, Experience and Qualification:
- Bachelor’s degree in computer science, Software Engineering, or related field; Master's degree preferred.
- Proven experience (5+) in software development with a focus on automation engineering for iOS, Android, and web applications.
- Proficiency in programming languages such as Swift, Kotlin, Java, JavaScript, or Python, with a strong understanding of object-oriented programming principles.
- Extensive experience in designing and implementing automation frameworks using industry-standard tools and technologies (e.g., Appium, XCUITest, Espresso, Selenium, WebDriver).
- Olid understanding of mobile and web development methodologies, testing techniques, and best practices.
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