Senior Fullstack Engineer, Athelas

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experience
• Professional software development experience with a focus on full-stack development, including backend APIs, frontend UI, system integrations, and user authentication
• Deep expertise in Java programming, including experience designing and implementing highly optimized and scalable architectures
• Experience with building enterprise-grade full-stack applications using Spring Boot, React, UX design frameworks, and relational and document databases
• Proven experience in developing and deploying cloud-based applications (e.g., AWS, Azure, GCP)
• Solid understanding of RESTful API design principles and experience building and consuming REST APIs
• Strong experience with relational databases, including Oracle, PostgreSQL, and document databases, including MongoDB and derivatives
• Excellent verbal and written communication skills, with the ability to clearly explain technical concepts to both technical and non-technical audiences

Desirable

• As a Senior Fullstack Engineer, you'll be critical to designing, developing, and supporting both backend and frontend logic for our innovative healthcare AI applications
• You'll be instrumental in building scalable, robust, and reliable systems that empower healthcare providers to deliver better patient care
• You’ll thrive in our collaborative team environment, where your innovative ideas are valued and you’re challenged to create elegant solutions to complex problems
• You will actively participate in the design and development of new features and contribute to the ongoing evolution of our architecture
• You'll quickly grasp complex concepts and leverage your extensive experience to identify areas for improvement and drive impactful change
• Design and Develop: Build and maintain scalable, healthcare AI applications using Java and React
• Architect Solutions: Design robust, performant, and maintainable system architectures, focusing on cloud application best practices
• Collaborate: Work closely with product managers, designers, and other engineers to translate requirements into effective solutions
• Optimize Performance: Proactively identify and resolve performance bottlenecks to ensure high application availability and efficiency
• Innovate: Contribute to the development of cutting-edge features leveraging the power of AI and machine learning
• Code Review: Participate in code reviews to foster knowledge sharing and best practices across the team
• Maintain Quality: Write thorough tests and documentation to ensure code quality and maintainability
• Deployment and Support: Assist with the development, deployment, and support of on-prem and cloud-based solutions, spanning from internal development to customer production systems