Architect a scalable Authentication Engine

Last updated: May 9, 2026

Quick Overview

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

Instacart
System Design
Machine Learning Engineer
Instacart
May 9, 2026
Machine Learning Engineer
Onsite
System Design
Hard

20

11

61 solved


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

Instacart asks this during the Onsite to assess your architectural thinking. They want to see how you decompose a complex problem, choose appropriate technologies, and reason about failure modes. Strong candidates proactively discuss monitoring, alerting, and operational concerns.

What the Interviewer Expects
  • Drive the design discussion proactively with minimal interviewer guidance
  • Perform detailed capacity estimation and use it to inform design decisions
  • Design for global scale with multi-region deployment and data consistency
  • Deep dive into 2-3 critical components with implementation-level detail
  • Address complex trade-offs: CAP theorem, eventual consistency, conflict resolution
  • Discuss operational excellence: deployment strategy, chaos engineering, SLOs/SLIs
  • Propose a phased rollout plan from MVP to full-scale system
Key Topics to Cover
High-level architecture and component design
Message queues and async processing
Caching strategies (local, distributed, CDN)
Failure handling and fault tolerance
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
  • What happens if one of your database nodes goes down?
  • How would you migrate from a monolithic to a microservices architecture?
  • How would you handle schema migrations with zero downtime?
  • How would you handle a region-wide outage?
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Sample Answer
Requirements Clarification

Before diving into the architecture, clarify the scope with the interviewer. For scalable Authentication Engine, key functional requirements include: ...

Capacity Estimation

Estimate the scale to drive design decisions. Assume 100M DAU with an average of 10 actions per user per day = 1B requests/day ~ 12K QPS average, ~36K...


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