Own outcomes: Start with complex business problems, collaborate closely with product and operations stakeholders to decompose the problem, define requirements, design technology solutions, and build high quality software that delivers results
System design: Work backwards from extremely complex business problems to design the correct abstractions and components in the simplest, most logical and maintainable way possible
Maintain and operate systems at scale: Ensure reliability, performance, and operational excellence of systems in production
Technical leadership: Set the technical direction for projects and teams, and set and maintain the bar for code quality, testing, and operational excellence
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, openness to trying new technologies, and experience building with AI-native tools (e.g., Cursor, Windsurf, Lovable)