• Design and build high-performing, distributed APIs and microservices that scale to handle heavy traffic • Design efficient database schemas and optimize complex queries for large, interconnected datasets • Write testable, maintainable code with a bias toward self-documenting practices • Build systems with deep observability (metrics, logging, tracing) to support reliable operations • Approach all work with a security lens, identifying vulnerabilities and ensuring high-quality, secure deployments • Utilize pragmatic architecture patterns (abstractions, code isolation) that enable iterative, autonomous development • Leverage cloud infrastructure and modern practices to support continuous release cycles and safe experimentation • Use data and sound judgment to propose technical approaches and reduce technical debt • Mentor teammates through thoughtful code reviews and pairing to build team redundancy and raise quality • Partner with Product and Design to whiteboard solutions and validate feasibility before code is written • Document wins and fails to share patterns and improvements with the wider engineering team • Champion AI-augmented engineering to reduce “grunt work” without sacrificing quality or security