Senior Fullstack Engineer, PatientKeeper

What You’ll Do

• 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.

What You Have

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experience.
• 4+ years of 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.

Bonus points for:

• Experience in the healthcare domain, including HL7 and FHIR.
• Experience with AI/ML concepts and frameworks.
• Experience with CI/CD pipelines and automated testing frameworks.
• Working knowledge of containers (Docker) and orchestration tools (Kubernetes).