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How to Pass the allO Software Engineer Interview in 2026

Growth · Software Engineer Interview Guide

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Interview language: English

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The allO DNA (TL;DR)

Restaurant POS and Kitchen Monitor reliability dictates allO's hiring bar. Interviewers probe how you optimize order flow across Express counter setups and high-volume dining environments, looking for candidates who can metricize uptime and trade-offs under peak kitchen rush conditions.

The allO Interview Loop

Your onsite loop will typically consist of 5 rounds.

  1. 1

    Round 1

    Recruiter Screen
    Motivation, role fit, logistics.
  2. 2

    Round 2

    Coding Screen
    LeetCode-medium algorithmic problems under time pressure.
  3. 3

    Round 3

    System Design
    Distributed systems, trade-offs at scale, architecture under constraints.
  4. 4

    Round 4

    Onsite Coding
    LeetCode-hard problems, reasoning about defects, code clarity, edge cases.
  5. 5

    Round 5

    Behavioral / Leadership
    Past evidence of ownership, influence, resolving conflict.

The Danger Zone: Top Reasons Candidates Fail

Based on our database of allO interview outcomes, avoid these common traps:

  • Failing to propose a middle-ground solution or a phased rollout strategy
  • Not handling the case where fewer than N items have been added.
  • Incorrectly handling edge cases like zero orders or single orders.
  • Using a simple list and slicing, which can be inefficient for frequent additions.

Test Yourself: Real allO Questions

Three real prompts pulled from our database.

Type · Motivation

Why are you interested in joining allO as a Software Engineer, and what specifically about our SaaS platform for food delivery operations excites you?

Type · Scalability

How would you design a system to handle real-time location updates from thousands of drivers simultaneously? Discuss the technologies you might use and the trade-offs involved.

Type · Data Structures

Implement a data structure that can efficiently store and retrieve the N most recently added items. For example, if N=5 and we add items A, B, C, D, E, F, G, calling 'get_recent' should return [G, F, E, D, C].

+ many more questions, signals, and worked examples

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allO Interview Question Bank

A sample from our database, grouped by round. Sign up to see the full set.

9 of 13 questions shown

1

Recruiter Screen

1
  1. 1

    Type · Motivation

    Why are you interested in joining allO as a Software Engineer, and what specifically about our SaaS platform for food delivery operations excites you?
2

Coding Screen

3
  1. 2

    Type · Algorithmic

    Given a list of delivery orders, each with a pickup time, dropoff time, and driver ID, write a function to find the maximum number of concurrent deliveries a single driver is handling at any point in time. Assume orders are non-overlapping for a single driver.
  2. 3

    Type · Data Structures

    Implement a data structure that can efficiently store and retrieve the N most recently added items. For example, if N=5 and we add items A, B, C, D, E, F, G, calling 'get_recent' should return [G, F, E, D, C].
  3. + 1 more questions in this round (sign up to unlock)
3

System Design

4
  1. 4

    Type · API Design

    Design the API endpoint for a driver to update their current status (e.g., 'available', 'on_delivery', 'at_restaurant', 'completed_delivery'). Consider the data payload, potential error responses, and idempotency.
  2. 5

    Type · Scalability

    How would you design a system to handle real-time location updates from thousands of drivers simultaneously? Discuss the technologies you might use and the trade-offs involved.
  3. + 2 more questions in this round (sign up to unlock)
4

Onsite Coding

2
  1. 6

    Type · Algorithmic

    Write a function to find the shortest path for a driver to complete a list of N deliveries, starting from their current location and returning to a depot. This is a variation of the Traveling Salesperson Problem (TSP).
  2. 7
    A customer reports that their order status is not updating correctly in the app. Here's a simplified log snippet and the relevant code. Debug this issue and explain your thought process.
5

Behavioral / Leadership

3
  1. 8

    Type · Collaboration

    STAR
    Our Kitchen Monitor system often requires balancing the high-frequency UI updates requested by chefs with the backend performance constraints of our SaaS platform. Tell me about a time you had to align with a product manager or designer on prioritizing a feature that was technically expensive to scale. How did you negotiate the trade-offs to ensure a performant experience for the restaurant staff?
  2. 9

    Type · Ownership

    STAR
    allO serves a wide range of restaurant types, from fast-paced Malatang stalls to complex Fine Dining establishments. Describe a time you identified a flaw in how our platform handled a specific operational workflow for one of these segments and chose to rebuild or rearchitect that component to better support their specific business needs.
  3. + 1 more questions in this round (sign up to unlock)

Unlock all 13 allO questions, free

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Interview tracks at allO

How allO's DNA translates across functions. Pick your role.

Compare allO with similar employers

Same DNA, different bar. Browse the closest companies in our database and see how their loops differ.

Practice allO interviews end-to-end

Sample answers

What a strong answer to these allO interview questions shows.

Why are you interested in joining allO as a Software Engineer, and what specifically about our SaaS platform for food delivery operations excites you?

A strong answer shows: Genuine interest in the problem space; Understanding of allO's business model; Alignment with company values.

How would you design a system to handle real-time location updates from thousands of drivers simultaneously? Discuss the technologies you might use and the trade-offs involved.

A strong answer shows: Scalability patterns; Message queues; Database choices; Real-time data processing.

Frequently asked questions

How long does the allO interview process take?

Most candidates spend between 4 and 8 weeks from recruiter screen to offer. The onsite loop itself runs in a single day or is split across two half-days, with debrief and offer typically within 5 business days after.

How should I prepare specifically for allO?

Focus on three things: (1) the company DNA shown above - what they actually grade for, (2) the rounds in your loop, especially the round most candidates underestimate, and (3) drilling on the question types in this guide using a structured framework like CIRCLES or STAR.

Does this apply to engineering or design roles at allO?

The DNA stays the same - what changes is the round mix. SWE candidates face coding screens instead of Product Sense; designers face portfolio reviews and design exercises. The "what they value" and behavioral signals carry across all functions.

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