R1 RCM's mission is to make the US healthcare system more efficient by focusing on revenue, so hospitals can focus on care. R37 is at the forefront of this mission, leveraging cutting-edge technology and AI-native tools to solve some of the most complex and impactful challenges in healthcare operations.
Requirements
- Proven experience building and operating large-scale, complicated data platforms or systems
- Proficiency in modern programming languages like Python, Java, Go, Rust, TypeScript, Kotlin, or C-Sharp
- Experience with cloud infrastructure (AWS, GCP, or Azure)
- Excitement to work in AI-native environment, openness to trying new technologies , and experience building with AI-native tools (e.g., Cursor, Windsurf, Lovable)
- Experience with large-scale data platforms like Snowflake, Databricks, Palantir, EMR, Athena
Responsibilities
- Independently deliver projects from conception to production, working backwards from concrete business goals to design, code, deploy, and operate features that are robust, scalable, and maintainable.
- Design straightforward, maintainable code that solves business problems efficiently and integrates well with existing systems.
- Write clean, tested code and ensure features perform reliably in production through proper monitoring and operational practices.
- Continuously improve your technical abilities and contribute to team knowledge through code reviews and technical discussions.
- Proven experience building and operating large-scale, complicated data platforms or systems
- Experience with cloud infrastructure (AWS, GCP, or Azure)
- Experience building with AI-native tools (e.g., Cursor, Windsurf, Lovable)
Other
- Take ownership of features and projects from requirements to production, working closely with stakeholders to deliver effective solutions.
- Partner with product managers, designers, and other engineers to translate business requirements into working software.
- Strong track record of leading technical projects and mentoring other engineers
- Experience in fast paced startup or technology environments
- Candidates located near one of our talent hubs—San Francisco, New York, Austin, or Chicago—will be scheduled to meet with team members in those locations. For candidates residing outside these areas, we will arrange travel to a hub for the interview. Travel accommodations will be provided as needed.
