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Design a file upload and scanning report system

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's ability to design scalable, secure distributed systems for asynchronous file handling, including API design, data modeling, multi-engine scanning orchestration, reliability, and observability.

  • medium
  • Crowdstrike
  • System Design
  • Software Engineer

Design a file upload and scanning report system

Company: Crowdstrike

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Onsite

Design a system that lets users upload files, scans them, and produces a final report. ### Core workflow 1. User uploads a file. 2. System runs one or more scans (e.g., malware scan, policy/DLP scan, file-type validation). 3. System generates a **report** (structured findings + overall pass/fail + metadata). 4. User can query scan status and download the report. ### Requirements - Handle large files (up to multiple GB). - Scanning is asynchronous; user should not have to keep the connection open. - Support multiple scan engines per file (some may be slow/fail). - Provide status states: `UPLOADING`, `QUEUED`, `SCANNING`, `COMPLETED`, `FAILED`. - Secure by default (authn/authz, encryption, least privilege). - Scalable to high throughput (assume tens of millions of files/day). ### Deliverables - APIs (or UI flows) you would expose - High-level architecture and key components - Data model for file metadata, scan jobs, and reports - Reliability strategy (retries, idempotency, partial failures) - Observability and operational considerations

Quick Answer: This question evaluates a candidate's ability to design scalable, secure distributed systems for asynchronous file handling, including API design, data modeling, multi-engine scanning orchestration, reliability, and observability.

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Jan 22, 2026, 12:00 AM
Software Engineer
Onsite
System Design
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Design a system that lets users upload files, scans them, and produces a final report.

Core workflow

  1. User uploads a file.
  2. System runs one or more scans (e.g., malware scan, policy/DLP scan, file-type validation).
  3. System generates a report (structured findings + overall pass/fail + metadata).
  4. User can query scan status and download the report.

Requirements

  • Handle large files (up to multiple GB).
  • Scanning is asynchronous; user should not have to keep the connection open.
  • Support multiple scan engines per file (some may be slow/fail).
  • Provide status states: UPLOADING , QUEUED , SCANNING , COMPLETED , FAILED .
  • Secure by default (authn/authz, encryption, least privilege).
  • Scalable to high throughput (assume tens of millions of files/day).

Deliverables

  • APIs (or UI flows) you would expose
  • High-level architecture and key components
  • Data model for file metadata, scan jobs, and reports
  • Reliability strategy (retries, idempotency, partial failures)
  • Observability and operational considerations

Solution

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