Senior Software Engineer, Health Note

• Our engineering team is spread from UTC-3 to UTC-7 and we rely heavily on strong communication skills in order to make it work
• Although we default to asynchronous clear communications as much as possible, you will occasionally need to be flexible in order to meet synchronously with colleagues in different time zones
• 5+ years of experience building out robust and scalable full-stack applications, databases, developer tools, and/or experience in A.I./M.L. development and integration
• Significant experience designing, building, deploying, operating, and maintaining production applications at scale
• Extensive experience with Javascript (Typescript), React, NodeJS (NestJS), and PostgresQL
• Writing quality code with automated testing and leaving the codebase better than how you found it
• Exposure in architecting and developing solutions to ambiguous problems with significant impact
• Familiarity with modern web technologies (HTTP2, WebSockets, gRPC, GraphQL)
• Obsession with building high quality products and applications

Desirable

• As a Senior Software Engineer, you will be responsible for developing and maintaining mission-critical systems that power healthcare operations and interoperability for over 60 clinics and health systems
• You will have the freedom to define the team's technical direction, develop processes for successful client and partner integrations, and guide the architectural evolution of our applications. You will work on a new, high-growth product line that leverages A.I. to empower providers and reduce their workload
• You will report directly to our Head of Engineering in a role that gives you the opportunity to shape the future of Health Note’s product offerings and solutions
• As a member of a tight-knit start-up, you will work as part of a cross-functional team of product managers, solution engineers, client experience managers, and other software engineers to create world-class solutions to meet client needs
• Design, implement, and maintain highly scalable and performant services and applications, including those leveraging M.L. models for patient data analysis and clinical note generation
• Continually improve the codebase and test coverage through refactoring, unit testing, system testing, automating deployments, and general up-leveling of our codebase
• Design and improve our tooling and systems as needed to support our growth as we continue to scale
• Mentor and support other team members on design techniques, establishing coding standards, and providing feedback to ensure best practices
• Deep architecture work experimenting with new and exciting technologies, including A.I./M.L. frameworks and libraries (e.g. TensorFlow, PyTorch, scikit-learn)
• Collaborate with cross-functional teams to integrate A.I./M.L.-driven insights into our products and services, to enhance workflows