Senior Software Engineer

Remote: yes Posted: 2025-12-10

Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff.

We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale.

Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.

We are looking for a highly skilled Sr. Fullstack Engineer to join our dynamic engineering team. In this role, you will leverage your experience to design, develop, and maintain platform capabilities that make a significant impact on healthcare delivery. You will work closely with cross-functional teams to implement robust solutions that support our mission of enhancing patient care and streamlining healthcare processes.

- Design and develop responsive, high-performance web applications that serve as the backbone of our healthcare AI platform.

- Collaborate with product managers, UX/UI designers and Engineering platform leaders to translate requirements into technical designs and user-friendly interfaces.

- Build and optimize RESTful APIs to enable seamless integrations with various healthcare systems and third-party services.

- Uphold best practices for code quality, testing, and continuous integration/continuous deployment (CI/CD) to ensure high reliability and maintainability of our software.

- Troubleshoot and resolve technical issues across your domain, from front-end functionality to back-end infrastructure.

- Work closely with our data science team to deploy machine learning (ML) and natural language processing (NLP) algorithms into production environments.