Architect a low-latency Authentication Engine

Last updated: January 26, 2026

Quick Overview

Design a low-latency authentication system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Jump Trading
System Design
Machine Learning Engineer
Jump Trading
January 26, 2026
Machine Learning Engineer
Technical Screen
System Design
Easy

203

12

4,890 solved


Design a low-latency authentication system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

This is a common system design question asked during Technical Screen at Jump Trading. The interviewer expects you to demonstrate your ability to design large-scale distributed systems, make well-reasoned trade-offs, and communicate your thought process clearly. Jump Trading values engineers who can think about scalability from day one.

What the Interviewer Expects
  • Clearly define functional and non-functional requirements
  • Propose a reasonable high-level architecture with core components
  • Choose appropriate data storage solutions with basic justification
  • Discuss basic scaling strategies (horizontal scaling, caching)
  • Identify potential bottlenecks and suggest simple solutions
Key Topics to Cover
High-level architecture and component design
Monitoring, logging, and alerting
Database selection and data modeling
Requirements gathering and capacity estimation
Security and authentication
Load balancing and horizontal scaling
How to Approach This
  1. Start by clarifying functional and non-functional requirements with the interviewer.
  2. Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
  3. Draw a high-level architecture first, then deep dive into 1-2 critical components.
  4. Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
  5. Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
  • How would you handle a region-wide outage?
  • How would you optimize costs as the system scales?
  • How do you ensure data consistency across multiple services?
Practice a Similar Problem on Codemia

Solve a related problem with our interactive workspace, get AI feedback, and view detailed solutions.

Solve on Codemia
Sample Answer
Requirements

Functional Requirements

  • User Authentication: The system should authenticate users using various methods (e.g., username/password, OAuth, API keys).
  • Session Management: The system shoul...
Capacity Estimation

For Jump Trading, let's estimate the system's capacity:

  • Peak Requests: Assume peak trading activity results in 10 million authentication requests per second (RPS).
  • Average Request Size: Ea...

Submit Your Answer
Markdown supported

Related Questions