Own large, ambiguous business problems end-to-end: collaborate with product and operations stakeholders to decompose problems, define requirements, design solutions, and build high-quality software that delivers results.
System design: work backwards from complex business problems to design correct abstractions and maintainable components.
Maintain and operate systems at scale: ensure reliability, performance, and operational excellence in production.
Technical leadership: set technical direction for projects and teams and maintain standards for code quality, testing, and operations.
Cross-team collaboration and mentorship: mentor engineers and collaborate with stakeholders across the organization.
Influence roadmap and strategy: shape R37’s roadmap and long-term technology strategy.
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#
Experience with cloud infrastructure (AWS, GCP, or Azure)
Track record of technical leadership
Excitement to work in AI-native environment and experience with AI-native tools (e.g., Cursor, Windsurf, Lovable)
Good communicator with a proactive sense of engagement
(Nice-to-have) Experience in healthcare or Revenue Cycle Management (RCM) or interest in improving US healthcare efficiency
(Nice-to-have) Experience in fast-paced startup or technology environments
(Nice-to-have) Experience with large-scale data platforms like Snowflake, Databricks, Palantir, EMR, Athena
Benefits
Eligible to participate in our annual bonus plan.
Travel accommodations for interviews will be provided as needed.
Competitive benefits package.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonJavaGoRustTypeScriptKotlinC#cloud infrastructurelarge-scale data platformstechnical leadership
Soft skills
good communicatorproactive engagementmentorshipcross-team collaboration