Design a Dating Application: Node.js Interview with a FAANG Engineer

From interviewing.io

2026-05-28 12:00 · Open original ↗

In this mock systems design interview, a frontend engineer preparing for their onsite interviews tackles designing a dating application backend. Watch as an experienced FAANG engineer guides them through architecting a system that handles user profiles, location-based matching, and authentication at scale. The discussion covers database design, API endpoints, scalability considerations, and practical implementation details for handling millions of daily active users. 🧩 The Problem: Design a Dating Application (Medium) Design an architecture for a dating application where users can log in and see other nearby users. The system needs to handle user authentication, profile management, location-based queries, and scale to support 1 million daily active users. Key considerations include database schema design, API endpoint structure, and performance optimization strategies. Chapters - 0:00 Introduction and background - 2:30 Problem breakdown and requirements gathering - 6:29 System architecture and technology selection - 17:46 API server design and Express discussion - 23:46 Create profile endpoint flow - 26:25 Database schema and user model design - 44:42 Get nearby profiles endpoint design - 54:22 Advanced topics: matches, pagination, and latency - 57:28 Interview feedback and recommendations Concepts Requirements & System Scope - Identifying core features from problem keywords - Scaling considerations for 1M daily active users - Balancing feature complexity with time constraints - Prioritizing breadth over depth in initial design Database Design & Architecture - Document vs relational database tradeoffs - Schema design for user profiles and location data - Index strategy for common query patterns - Read-heavy vs write-heavy system considerations API Design & Implementation - RESTful endpoint structure and HTTP status codes - Rate limiting strategies using IP-based controls - Authentication flow and middleware placement - Pagination approaches for large result sets Scalability & Performance - Load balancer placement and multi-instance servers - CDN usage for static content delivery - Caching strategies with Redis for hot data - Database sharding considerations and thresholds Interview Communication & Strategy - Moving quickly through breadth before diving deep - Having default technology choices ready - Acknowledging but not over-engineering edge cases - Demonstrating practical backend experience 👉 Book coaching or watch more mock interviews: https://www.interviewing.io 📝 Interview transcript & feedback: https://interviewing.io/mocks/faang-system-design-dating-app-backend 🔗 Explore more faang interviews: https://interviewing.io/mocks?company=faang Disclaimer: All interviews are shared with explicit permission from the interviewer and interviewee. All candidates remain anonymous.

In this mock systems design interview, a frontend engineer preparing for their onsite interviews tackles designing a dating application backend. Watch as an experienced FAANG engineer guides them through architecting a system that handles user profiles, location-based matching, and authentication at scale. The discussion covers database design, API endpoints, scalability considerations, and practical implementation details for handling millions of daily active users. 🧩 The Problem: Design a Dating Application (Medium) Design an architecture for a dating application where users can log in and see other nearby users. The system needs to handle user authentication, profile management, location-based queries, and scale to support 1 million daily active users. Key considerations include database schema design, API endpoint structure, and performance optimization strategies. Chapters - 0:00 Introduction and background - 2:30 Problem breakdown and requirements gathering - 6:29 System architecture and technology selection - 17:46 API server design and Express discussion - 23:46 Create profile endpoint flow - 26:25 Database schema and user model design - 44:42 Get nearby profiles endpoint design - 54:22 Advanced topics: matches, pagination, and latency - 57:28 Interview feedback and recommendations Concepts Requirements & System Scope - Identifying core features from problem keywords - Scaling considerations for 1M daily active users - Balancing feature complexity with time constraints - Prioritizing breadth over depth in initial design Database Design & Architecture - Document vs relational database tradeoffs - Schema design for user profiles and location data - Index strategy for common query patterns - Read-heavy vs write-heavy system considerations API Design & Implementation - RESTful endpoint structure and HTTP status codes - Rate limiting strategies using IP-based controls - Authentication flow and middleware placement - Pagination approaches for large result sets Scalability & Performance - Load balancer placement and multi-instance servers - CDN usage for static content delivery - Caching strategies with Redis for hot data - Database sharding considerations and thresholds Interview Communication & Strategy - Moving quickly through breadth before diving deep - Having default technology choices ready - Acknowledging but not over-engineering edge cases - Demonstrating practical backend experience 👉 Book coaching or watch more mock interviews: https://www.interviewing.io 📝 Interview transcript & feedback: https://interviewing.io/mocks/faang-system-design-dating-app-backend 🔗 Explore more faang interviews: https://interviewing.io/mocks?company=faang Disclaimer: All interviews are shared with explicit permission from the interviewer and interviewee. All candidates remain anonymous.