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Rejected

E4 at DoorDash

Difficulty
Process took
2-3 Weeks
Rounds
4
Format
Remote
Applied via
LinkedIn

How it went

  • Don’t Get Discouraged by Rejection, if you perform well technically, expectations can differ

What they would tell you

  • Don’t Get Discouraged by Rejection, if you perform well technically, expectations can differ

How to prepare

  • For system design and HM rounds, the interviewers focus on past projects, ready to explain end-to-end contributions

Round by round

  1. 1

    Telephonic Round10 min

    Quick introduction and then jumped into some API-related question, the conversation was short & to the point

  2. 2

    Design (LLD)60 min

    Began by asking about my past project, where I had built a Food Ordering System, discussed the project in detail covering the core features, system flow, and the tech stack I used for both frontend and backend development. Later, he asked me to suggest new features I could add to improve the system

  3. 3

    HM Round60 min

    The manager started by asking about projects

    • Discussed my current project
    • Past projects
    • My specific role in making it
    • Hardest challenges
  4. 4

    Debugging Round60 min

    You’re given a simplified load balancer implementation that stores active servers in a list and picks the next one using (index + 1) % len(list). However, some servers go down intermittently. The interviewer asked me to debug why requests are occasionally being routed to inactive servers and to suggest a fix to make it efficient Follow-ups

    • How would you handle concurrent updates when multiple threads mark servers as unhealthy?
    • Can you optimize selection for large server lists?

What came up

HardRemote2 3 years

A candidate-reported account, lightly edited. Interview processes change by team and date.

Sources

Hiring now

DoorDash has 342 open roles right now

landed applies to roles like these for you, on each company’s own site, with answers written for the role.

  • Manager, Sales Strategy & Operations

    Remote

  • Senior Software Engineer, Machine Learning Platform - Serving (US)

    San Francisco, CA; Sunnyvale, CA; Seattle, WA

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