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Deep-dive your recent project architecture

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's ability to describe end-to-end system architecture, justify design decisions and trade-offs, and demonstrate competencies in data modeling, storage strategies, deployment topology, scalability, consistency models, observability, and incident management.

  • hard
  • TikTok
  • System Design
  • Software Engineer

Deep-dive your recent project architecture

Company: TikTok

Role: Software Engineer

Category: System Design

Difficulty: hard

Interview Round: Technical Screen

Walk through the architecture of your most recent project end-to-end: core components, data model, external dependencies, and deployment topology. Explain key design decisions, trade-offs, and constraints (latency, throughput, cost). Describe failure modes you encountered, how you detected/mitigated them, and what you would redesign if given another chance. Include concrete metrics and incidents to demonstrate impact.

Quick Answer: This question evaluates a candidate's ability to describe end-to-end system architecture, justify design decisions and trade-offs, and demonstrate competencies in data modeling, storage strategies, deployment topology, scalability, consistency models, observability, and incident management.

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TikTok logo
TikTok
Jul 17, 2025, 12:00 AM
Software Engineer
Technical Screen
System Design
2
0

End-to-End Project Architecture Walkthrough (Technical System Design)

Provide a structured walkthrough of a recent system you built or led. Cover both the "what" (architecture) and the "why" (design decisions and trade-offs).

What to Include

  1. System overview and goals
  2. Core components and end-to-end data flow
  3. Data model and storage strategy
  4. External dependencies (e.g., queues, caches, databases, third-party services)
  5. Deployment topology (regions/AZs, containers/VMs, autoscaling, networking)
  6. Key design decisions, trade-offs, and constraints (latency, throughput, cost)
  7. Failure modes you encountered, how you detected them, and mitigations
  8. What you would redesign if you had another iteration
  9. Concrete metrics and incidents (latency percentiles, QPS, error rates, costs, outcomes)

Be specific about SLIs/SLOs, budgets for latency, partitioning/sharding, consistency model, and how you validated impact (A/B testing, canaries, rollbacks).

Solution

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