Shopify Coding & Algorithms Interview Questions

Shopify Coding & Algorithms interview questions often emphasize clear, production-minded problem solving rather than puzzle memorization. Interviewers look for readable, testable code, defensible complexity choices, and the ability to communicate tradeoffs while working through edge cases. Distinctive elements include live pairing-style exercises and timeboxed coding sessions where interviewers expect you to think aloud, ask clarifying questions, and iterate toward a robust solution that would be maintainable in a real codebase. For interview preparation focus on medium-level algorithm practice (arrays, strings, trees, hashes, two-pointers), writing small tests, and explaining complexity and correctness succinctly. Expect an initial screen or online assessment followed by a 40–90 minute coding or pair-programming session using a shared editor; be ready to discuss optimizations and alternative approaches. Simulate pair-programming with a peer, practice coding in the language you’ll use, and prioritize clarity (naming, small functions, and quick sanity checks) so your thought process is visible and the interviewer can assess both technical skill and collaboration during interview preparation.

25 Questions 1 Company06.20.2026
Showing 20 results
Role
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Shopify
Medium
Machine Learning Engineer

Implement an interactive CLI class with tests

Design and implement a command-line interactive application as a single class using OOP principles. The program should support commands: add <key> <va...

Coding & Algorithms
12
0
203 people solved
Aug 13, 2025
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Shopify
Easy
Machine Learning Engineer

Design a robot movement command system

Robot Movement (Pair Programming) You are given an empty starter repository (only a README). Implement a small, testable robot movement module that ca...

Coding & Algorithms
54
0
485 people solved
Dec 15, 2025
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Shopify
Easy
Software EngineerSenior+ AI

Build a Local URL Shortener

Implement a local URL shortener that runs on a single machine. Design a small library or service with two core operations: - shorten(long_url) -> shor...

Coding & Algorithms
59
0
420 people solved
Jan 24, 2026
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Shopify
Medium
Software Engineer AI Locked

Grid Robot Command Simulator

This question tests practical coding ability by requiring implementation of a command-driven state machine on a bounded 2D grid. It evaluates simulati...

Coding & Algorithms
1
0
17 people solved
Jun 20, 2026
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Shopify
Medium
Data ScientistSenior+ AI Locked

Compute Theme Similarity

This question evaluates understanding of set-based similarity metrics (the Jaccard coefficient) and practical coding skills for transforming and compa...

Coding & Algorithms
4
0
44 people solved
May 23, 2026
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Shopify
Medium
Software Engineer AI Locked

Terminal-Controlled Grid Rover Simulator

This question evaluates a candidate's ability to model stateful simulation logic, translating grid coordinates, heading rotations, and sequential comm...

Coding & Algorithms
1
0
10 people solved
Jun 13, 2026
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Shopify
Easy
Software Engineer

Implement cache and gift assignment system

You are given two independent programming problems. --- Problem 1: Implement a bounded key–value cache Design a data structure that stores key–value p...

Coding & Algorithms
36
0
367 people solved
Oct 1, 2025
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Shopify
Easy
Software Engineer

Simulate rover movement on a grid

You are building a rover navigation simulator. The exercise is incremental: you implement a single rover on a 2D grid, then extend the design to many ...

Coding & Algorithms
66
0
574 people solved
Jan 27, 2026
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Shopify
Easy
Data Scientist

Infer and justify non-trivial sequence patterns

Pattern Recognition: Next Terms and Missing Value Identify the rule governing each sequence or row and compute the missing value(s). Justify each answ...

Coding & Algorithms
15
1
126 people solved
Oct 13, 2025
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Shopify
Medium
Software Engineer AI

Implement a Constant-Time LRU Cache

Implement a Constant-Time LRU Cache Implement a fixed-capacity least-recently-used cache. The captured source identifies an LRU cache coding problem b...

Coding & Algorithms
3
0
21 people solved
Apr 28, 2026
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Shopify
Medium
Software Engineer AI

Implement a Word Guessing Game

Implement a four-letter word guessing game. You are given: - A dictionary containing valid four-letter English words. - A target word selected from th...

Coding & Algorithms
3
0
34 people solved
Jan 10, 2026
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Shopify
Medium
Software Engineer AI

Implement an In-Memory File System

Implement an In-Memory File System The source reports an in-memory file-system exercise but not its exact error serialization or current-directory rem...

Coding & Algorithms
1
0
15 people solved
Apr 28, 2026
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Shopify
Medium
Data Scientist AI

Compute Jaccard Similarity for Lists

Implement a Python function to compute the Jaccard similarity between two lists of strings. `python def jaccard_similarity(a: list[str], b: list[str])...

Coding & Algorithms
1
0
27 people solved
Apr 28, 2026
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Shopify
Easy
Machine Learning Engineer Locked

Implement an LRU Cache

This question evaluates a candidate's competency in designing efficient cache mechanisms and managing time and space complexity for operations require...

Coding & Algorithms
16
0
164 people solved
Jan 22, 2026
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Shopify
Medium
Machine Learning Engineer

Simulate robot moves on a grid

You are given an m x n grid and a robot that starts at position (r, c) (0-indexed). You are also given a string commands consisting of characters 'U',...

Coding & Algorithms
10
0
120 people solved
Feb 18, 2026
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Shopify
Medium
Machine Learning Engineer AI Locked

Implement a Capacity-Bounded Cache

This question evaluates a candidate's ability to design and implement an efficient capacity-bounded in-memory key-value cache, assessing understanding...

Coding & Algorithms
6
0
71 people solved
Feb 3, 2026
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Shopify
Medium
Data Scientist

Implement an LRU Cache

Problem: LRU Cache (LeetCode 146) Design and implement a Least Recently Used (LRU) Cache that supports the following operations in average O(1) time. ...

Coding & Algorithms
18
0
133 people solved
Aug 10, 2025
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Shopify
Medium
Data Scientist

Implement Cosine Similarity Function for String Vectors

Scenario Technical phone screen in Python; assess ability to implement similarity metric. Question Implement a Python function that computes the cosin...

Coding & Algorithms
9
0
103 people solved
Aug 4, 2025
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Shopify
Medium
Data Scientist

Identify Pirate-Themed Custom Themes Using Jaccard Similarity

Scenario Engineering receives two lists and must identify custom themes that look like Pirate themes. Question a) Write a Python function that compute...

Coding & Algorithms
2
0
17 people solved
Aug 4, 2025
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Shopify
Medium
Machine Learning Engineer AI

Implement URL Shortening Codec

Implement a small in-memory URL-shortening component in a pair-programming interview. Expose two methods: shorten(long_url: str) -> str, which returns...

Coding & Algorithms
0
0
3 people solved
Apr 1, 2026

Frequently Asked Questions

How difficult are Shopify Coding & Algorithms interviews?
Shopify Coding & Algorithms interviews are generally moderate to challenging, depending on seniority and role. Entry-level screens focus on core data structures and clean coding under time pressure, while mid and senior roles add larger design considerations or algorithmic optimizations. The assessment often rewards clear, testable solutions rather than clever one-off tricks. Expect problems that test problem decomposition, edge-case handling, and complexity reasoning. Preparation that targets common interview patterns and timed practice typically moves most candidates from fragile to confident performance.
What is the typical process and where do Coding & Algorithms questions appear in Shopify interviews?
Coding and algorithmic problems commonly show up across Shopify's online assessment and technical interview rounds. Candidates often start with a timed online coding exercise on a collaborative editor, then progress to live pair-programming sessions with an engineer where you drive the implementation and discuss tradeoffs. Later rounds may revisit algorithm problems or include larger system- or design-oriented questions that require algorithmic thinking. Throughout the process interviewers evaluate correctness, readability, test coverage, and ability to explain choices, so coding questions appear both as isolated algorithm problems and as part of broader technical evaluations.
How should I structure my preparation timeline for Shopify Coding & Algorithms interviews?
A focused six to eight week plan often works well: start by reinforcing fundamentals like arrays, strings, hash maps, and complexity analysis in the first two weeks, then practice medium problems on two pointers, stacks, heaps, and graphs. In weeks three to five, simulate timed coding sessions on a collaborative editor and add mock pair-programming interviews to practice narration and incremental testing. Reserve the final one to two weeks for review, curated problem sets, and polishing communication habits. Frequent short sessions with deliberate feedback are more effective than occasional long marathons.
What key subtopics should I master for Coding & Algorithms at Shopify?
Prioritize strong command of arrays and string manipulation, hash tables, two-pointer techniques, sliding windows, stacks and queues, sorting and searching fundamentals, basic graph traversals like BFS/DFS, and common heap/priority-queue patterns. Also be comfortable with recursion and the core ideas behind dynamic programming for medium-difficulty problems. Equally important are runtime and space complexity reasoning, robust handling of edge cases and nulls, and writing concise tests. Interviewers expect readable code and defensive assumptions, so practicing in your preferred language on a shared editor is essential.
Which behaviors and common pitfalls make or break Coding & Algorithms interviews?
Standout candidates explain their assumptions clearly, outline a plan before coding, run small examples, and iterate toward a working solution while narrating tradeoffs. Writing simple tests early and keeping code readable usually scores higher than a terse optimal solution with no checks. Common pitfalls include skipping clarification questions, ignoring edge cases and input constraints, failing to reason about complexity, and getting stuck on syntax instead of high-level approach. Avoid premature optimization, and if you hit a blocker, communicate progress and ask for interviewer feedback rather than freezing.

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