How long does the Cabify 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 Cabify?

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 Cabify?

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.

Other roles at Cabify:Product Manager Software Engineer Marketing Sales

Growth · Software Engineer Interview Guide

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.

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:

Blaming the other party or focusing only on their shortcomings.
Using Euclidean distance instead of estimated driving time.
Inefficient data structure for frequency counting (e.g., linear scan for each lookup).
Describing a task that was clearly assigned and expected.

Test Yourself: Real Cabify Questions

Three real prompts pulled from our database.

Type · Architecture

How would you design a notification system to alert drivers about new ride requests? Consider factors like geographic proximity, driver availability, and minimizing notification fatigue.

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.

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.

+ 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 18 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
Tell me about a time you had a significant disagreement with a cross-functional team member (e.g., engineer, marketer) on a product decision. How did you approach it, and what was the outcome?
9
Type · Conflict Resolution
Tell me about a time you had a significant technical disagreement with a colleague or manager. How did you approach the situation, and what was the outcome?
+ 6 more questions in this round (sign up to unlock)