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Deep-dive a project architecture

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's system architecture, scalability, capacity planning, reliability, security, data modeling, and operational readiness skills through a detailed technical review of a real project.

  • hard
  • DoorDash
  • System Design
  • Software Engineer

Deep-dive a project architecture

Company: DoorDash

Role: Software Engineer

Category: System Design

Difficulty: hard

Interview Round: Technical Screen

Select one of your recent projects and conduct a deep technical review. Draw the end-to-end architecture diagram, list components and data flows, explain key design decisions and trade-offs, and walk through read/write paths. Discuss schema design, storage choices, scaling limits, capacity planning, fault tolerance, security/compliance, and operational readiness (dashboards, alerts, runbooks). Then propose two concrete improvements for a 10× traffic increase and justify them.

Quick Answer: This question evaluates a candidate's system architecture, scalability, capacity planning, reliability, security, data modeling, and operational readiness skills through a detailed technical review of a real project.

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DoorDash logo
DoorDash
Jul 31, 2025, 12:00 AM
Software Engineer
Technical Screen
System Design
14
0

Deep Technical Review of a Recent System

Context: You are interviewing for a system design/engineering role. Select one substantial project you worked on and present a deep technical review that another senior engineer could evaluate without prior context.

Deliverables:

  1. End-to-end architecture
  • Provide an ASCII architecture diagram.
  • Enumerate core components and their responsibilities.
  • Describe synchronous and asynchronous data flows.
  1. Read and write paths
  • Walk through the end-to-end read path(s) and write path(s).
  • Include latency budgets and failure handling.
  1. Data and storage
  • Schema design (entities, keys, indexes, partition/shard keys).
  • Storage technology choices and why (including alternatives considered).
  1. Design decisions and trade-offs
  • Call out at least 5 key decisions and the trade-offs (e.g., consistency vs. availability, latency vs. cost, operational simplicity vs. feature set).
  1. Scaling and capacity
  • State current scaling limits and bottlenecks.
  • Provide a back-of-the-envelope capacity plan (QPS, throughput, storage growth, partition counts).
  1. Reliability and security
  • Fault tolerance: failure modes, retries, backpressure, DLQs, circuit breakers, multi-AZ/region.
  • Security/compliance: authN/Z, transport and data-at-rest encryption, PII handling, audit/retention.
  1. Operational readiness
  • Dashboards, SLIs/SLOs, alerts and thresholds.
  • Runbooks and on-call procedures.
  1. 10× traffic plan
  • Propose two concrete improvements for a 10× traffic increase and justify each with expected impact and risks.

Solution

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