Software Engineer, Athelas

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent extensive experience
• 2+ years of professional software development experience with a focus on server-side development
• Deep expertise in Python programming, including experience designing and implementing highly optimized and scalable architectures
• 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 databases, especially NoSQL databases like MongoDB (Cosmos DB) and/or RDBMS (PostgreSQL)
• Working knowledge of containers (e.g., Docker) and orchestration tools (e.g., Kubernetes)
• Experience with CI/CD pipelines and automated testing frameworks
• 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; familiarity with AI/ML concepts and frameworks; Java/J2EE experience

• As a Senior Python Developer, you'll be critical in designing, developing, and supporting the server-side 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 for complex problems
• You will participate actively in the design and development of new features, as well as 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, cloud-based healthcare AI applications using Python
• 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 address performance bottlenecks, ensuring 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, fostering knowledge sharing and best practices across the team
• Maintain Quality: Write thorough tests and documentation to ensure code quality and maintainability

Total funding: $156.2m

Gathering data on patients is vital to provide healthcare workers with the information that they need to reduce repeat hospitalizations, but retrieving such data requires patient monitoring through expensive medical equipment. This ultimately reduces spaces in hospitals and clinics when patients could otherwise be cared for from home, presenting an increased demand for remote patient monitoring (RPM) technology.