Senior Fullstack Engineer, Commure Pro

Athelas; San Francisco (CA); On-site; USD 170,000 - 230,000; Full time

Job summary

Athelas is seeking a Senior Fullstack Engineer to design and develop scalable healthcare AI applications. You will work collaboratively to create elegant solutions and drive change in our architecture. The ideal candidate should have extensive experience in full-stack development, particularly with Java and React, and experience deploying cloud-based applications. The compensation range is $170K to $230K, aimed at candidates with at least 4 years of relevant experience.

Qualifications

• 4+ years of professional software development experience focused on full-stack development.
• Experience building enterprise-grade applications using Spring Boot, React.
• Proven experience developing and deploying cloud-based applications.

Responsibilities

• Design and develop scalable healthcare AI applications using Java and React.
• Collaborate closely with product managers, designers, and engineers.
• Participate in code reviews to foster knowledge sharing.

Skills

Full-stack development

Java programming

React

API development

Cloud applications

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Spring Boot

AWS

PostgreSQL

MongoDB

Job description

About The Role

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.

What You’ll Do

• Design and develop scalable healthcare AI applications using Java and React.
• Architect robust, performant, and maintainable system architectures, focusing on cloud application best practices.
• Collaborate closely with product managers, designers, and other engineers to translate requirements into effective solutions.
• Proactively identify and resolve performance bottlenecks to ensure high application availability and efficiency.
• Contribute to the development of cutting‑edge features leveraging the power of AI and machine learning.
• Participate in code reviews to foster knowledge sharing and best practices across the team.
• Write thorough tests and documentation to ensure code quality and maintainability.
• Assist with the development, deployment, and support of on‑prem and cloud‑based solutions, spanning from internal development to customer production systems.

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 focused on full‑stack development, including backend APIs, frontend UI, system integrations, and user authentication.
• Deep expertise in Java programming and designing and implementing highly optimized and scalable architectures.
• Experience building enterprise‑grade full‑stack applications using Spring Boot, React, UX design frameworks, and relational and document databases.
• Proven experience 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 such as MongoDB.
• Excellent verbal and written communication skills, with the ability to clearly explain technical concepts to both technical and non‑technical audiences.
• 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 (e.g., Docker) and orchestration tools (e.g., Kubernetes).

Compensation

Compensation Range: $170K - $230K