How to Pass the Cabify Software Engineer Interview in 2026

The Cabify DNA (TL;DR)

The 'Why Cabify' interview round often probes for alignment with our mission to make cities better, emphasizing how candidates would contribute to improving urban mobility. They assess your ability to navigate complex logistical challenges, particularly in diverse markets like Barcelona or Buenos Aires Ciudad, and your capacity to adapt solutions.

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The Cabify Interview Loop

Your onsite loop will typically consist of 5 rounds.

1
Round 1
Recruiter Screen
Motivation, role fit, logistics.
2
Round 2
Coding Screen
LeetCode-medium algorithmic problems under time pressure.
3
Round 3
System Design
Distributed systems, trade-offs at scale, architecture under constraints.
4
Round 4
Onsite Coding
LeetCode-hard, debugging, code clarity, edge cases.
5
Round 5
Behavioral / Leadership
Past evidence of ownership, influence, resolving conflict.

The Danger Zone: Top Reasons Candidates Fail

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

Giving a generic answer not specific to Cabify or the transport industry.
Using Euclidean distance instead of estimated driving time.
Inefficient data structure for frequency counting (e.g., linear scan for each lookup).
Incorrect handling of division by zero when supply is zero.

Test Yourself: Real Cabify Questions

Three real prompts pulled from our database.

Type · Conflict Resolution

At Cabify, we often balance the trade-off between prioritizing driver earnings and keeping ride prices competitive for passengers. Describe a situation where you advocated for a specific technical direction that conflicted with a product goal aimed at market growth. How did you navigate this tension to reach a resolution?

Type · Learning

Cabify is constantly expanding into new mobility categories beyond standard ride-hailing. Describe a time you had to pivot your technical approach to support a new business requirement that fundamentally changed how our services interact with city infrastructure. What was the most challenging aspect of adapting your existing knowledge to this new context?

Type · Edge Cases

Implement a function `get_available_cars(city_id, car_type)` that returns a list of available car IDs. Consider potential issues like database connection errors, invalid city/car types, and race conditions where a car might be assigned between the query and the result.

+ many more questions, signals, and worked examples

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Cabify Interview Question Bank

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

9 of 13 questions shown

Recruiter Screen

1
Type · Motivation
What interests you about working on the technical challenges at Cabify, specifically within the transport and mobility sector?

Coding Screen

2
Type · Algorithm
Given a list of historical ride requests (each with pickup location, dropoff location, and timestamp), write a function to find the N most frequent pickup locations within a given time window. Assume locations can be represented as (latitude, longitude) tuples.
3
Type · Algorithm
Implement a function that takes a list of active driver locations and a list of passenger requests (each with a desired pickup location) and returns a mapping of which driver is best suited to pick up each passenger. 'Best suited' can be defined as the closest driver, considering driving time (not just Euclidean distance). Assume you have a way to get estimated driving times between any two points.
+ 1 more questions in this round (sign up to unlock)

System Design

4
Type · Architecture
Design a real-time driver-passenger matching system for Cabify. Consider scalability, fault tolerance, and latency.
5
Type · Architecture
Design a system to estimate Estimated Time of Arrival (ETA) for passengers. How would you handle real-time traffic, driver behavior, and historical data?
+ 1 more questions in this round (sign up to unlock)

Onsite Coding

6
Type · Algorithm
You are given a stream of ride completion events, each containing `(driver_id, pickup_time, dropoff_time, pickup_location, dropoff_location)`. Design a system to calculate the average ride duration for each driver over the last hour, processing events in real-time. How would you handle potential out-of-order events?
7
Type · Code Clarity
Refactor this Python code for calculating driver earnings, making it more readable, maintainable, and robust. Add comprehensive unit tests.
+ 1 more questions in this round (sign up to unlock)

Behavioral / Leadership

8
Type · Conflict Resolution
At Cabify, we often balance the trade-off between prioritizing driver earnings and keeping ride prices competitive for passengers. Describe a situation where you advocated for a specific technical direction that conflicted with a product goal aimed at market growth. How did you navigate this tension to reach a resolution?
9
Type · Ownership
We operate in diverse urban environments where traffic patterns and regulatory requirements shift rapidly. Tell me about a time you identified a critical reliability issue in a production system that was impacting ride completion rates in a specific city. How did you drive the fix from discovery to deployment?
+ 1 more questions in this round (sign up to unlock)