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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.

Questions
20
Company
1
Updated
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20 Questions 1 Company
PLTCHK testimonial
PLTCHK

"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"

_The_TaNk_ testimonial
_The_TaNk_

"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"

Chris testimonial
ChrisSenior SWE, LinkedIn

"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."

sleepy33 testimonial
sleepy33

"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."

Jake testimonial
JakeSenior ML Engineer, Lyft

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

nuggetlord testimonial
nuggetlord

"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."

Carlos testimonial
CarlosFull Stack, Shopify

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

boba.tea.vibes testimonial
boba.tea.vibes

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

Andy testimonial
AndySWE-II, Google

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

couchpotato99 testimonial
couchpotato99

"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."

Shruti testimonial
ShrutiData Engineer, Salesforce

"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."

midnightramen testimonial
midnightramen

"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."

Bianca testimonial
BiancaFrontend Eng, Figma

"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."

tambrahm007 testimonial
tambrahm007

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."

toa testimonial
toa

"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."

PLTCHK testimonial
PLTCHK

"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"

_The_TaNk_ testimonial
_The_TaNk_

"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"

Chris testimonial
ChrisSenior SWE, LinkedIn

"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."

sleepy33 testimonial
sleepy33

"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."

Jake testimonial
JakeSenior ML Engineer, Lyft

"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."

nuggetlord testimonial
nuggetlord

"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."

Carlos testimonial
CarlosFull Stack, Shopify

"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."

boba.tea.vibes testimonial
boba.tea.vibes

"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."

Andy testimonial
AndySWE-II, Google

"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."

couchpotato99 testimonial
couchpotato99

"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."

Shruti testimonial
ShrutiData Engineer, Salesforce

"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."

midnightramen testimonial
midnightramen

"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."

Bianca testimonial
BiancaFrontend Eng, Figma

"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."

tambrahm007 testimonial
tambrahm007

"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."

toa testimonial
toa

"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."

Showing 20 results
Role
Shopify logo
Shopify
Medium
Data Scientist

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
0
0
15 people solved
Apr 28, 2026
Shopify logo
Shopify
Easy
Software Engineer

Simulate rover movement on a grid

You are building a rover navigation simulator. Part 1: Single rover on a 2D map You are given: - A rectangular 2D grid with coordinates (x, y). - A ro...

Coding & Algorithms
9
0
80 people solved
Jan 27, 2026
Shopify logo
Shopify
Easy
Software Engineer

Implement a multi-rover Mars controller

Problem Build a small command-line “Mars Rover Controller” program. Single rover (v1) A rover starts at coordinate (0, 0) on an infinite 2D grid and i...

Coding & Algorithms
11
0
133 people solved
Dec 23, 2025
Shopify logo
Shopify
Easy
Software Engineer

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
5
0
42 people solved
Jan 24, 2026
Shopify logo
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
16
0
145 people solved
Dec 15, 2025
Shopify logo
Shopify
Medium
Machine Learning Engineer Locked

Implement a Capacity-Bounded Cache

Implement an in-memory key-value cache with a fixed capacity. The cache must support the following operations in constant time on average: - get(key):...

Coding & Algorithms
2
0
32 people solved
Feb 3, 2026
Shopify logo
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
5
0
62 people solved
Feb 18, 2026
Shopify logo
Shopify
Easy
Machine Learning Engineer Locked

Implement an LRU Cache

Problem Design and implement an LRU (Least Recently Used) Cache that supports the following operations in O(1) average time: - get(key): - Return th...

Coding & Algorithms
9
0
106 people solved
Jan 22, 2026
Shopify logo
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
12
0
127 people solved
Oct 1, 2025
Shopify logo
Shopify
Easy
Data Engineer Locked

Write SQL for session analytics

You are given two tables for an e-commerce product. Tables 1) shops A shop dimension table that contains duplicate rows for the same shop_id. Columns:...

Coding & Algorithms
17
0
152 people solved
Jan 17, 2026
Shopify logo
Shopify
Medium
Machine Learning Engineer Locked

Simulate a rover fleet

Implement a simulator for autonomous rovers moving on a rectangular grid. You are given: - The grid size width x height - A set of blocked cells repre...

Coding & Algorithms
1
0
23 people solved
Mar 1, 2026
Shopify logo
Shopify
Medium
Software Engineer

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
0
0
9 people solved
Jan 10, 2026
Shopify logo
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
3
0
66 people solved
Aug 13, 2025
Shopify logo
Shopify
Medium
Data Scientist

Calculate Jaccard Similarity Score for Two String Lists

Scenario During pair programming, the interviewer asks you to compare two lists of merchant tags and quantify their similarity. Question Implement a P...

Coding & Algorithms
8
0
107 people solved
Aug 4, 2025
Shopify logo
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
8
0
84 people solved
Aug 4, 2025
Shopify logo
Shopify
Medium
Data Scientist

Identify Pirate Themes Using Similarity Score Algorithm

Scenario Engineering wants an automated way to spot custom themes that are probably just pirate themes in disguise. Question Write Python that takes t...

Coding & Algorithms
64
0
68 people solved
Aug 4, 2025
Shopify logo
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
5
0
48 people solved
Oct 13, 2025
Shopify logo
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
12
0
86 people solved
Aug 10, 2025
Shopify logo
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
1
0
8 people solved
Aug 4, 2025
Shopify logo
Shopify
Medium
Machine Learning Engineer

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
0 people solved
Apr 1, 2026
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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.