Stripe mobile engineer interviews focus on iOS or Android platform knowledge, memory management, offline-first architecture, and mobile-specific system design.
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coding
Hard
Verified Question
#1
1. Filter Roles
Category: Tree coding problemYou are building a role-based access control (RBAC) system for a multi-tenant platform. The system manages user roles across a hierarchical account...Input: List
Output: Array
coding
Hard
Verified Question
#2
2. Rate Limiter
Category: Sliding window coding problemDesign a rate limiter that tracks API requests per client and enforces limits using a sliding time window. Your system must support: - hit(key,...Input: Given input
Output:** Computed result
coding
Medium
Verified Question
#3
3. Shipping Cost Calculator
Category: Algorithm coding problemYou are building a shipping cost calculator for an international e-commerce platform. The cost depends on the destination country and the product...Input: Integer(s)
Output: Computed result
coding
Medium
Verified Question
#4
4. Transaction Fee Calculator
Category: Trie-based coding problemYou are building a fee calculation system for a payment processing platform. Given transaction data as a CSV string, calculate fees based on payment...Input: String
Output: Computed result
coding
Medium
Verified Question
#5
5. Bitmap to Image Conversion
Category: Grid/matrix coding problemYou are designing a bitmap character rendering system. Given a lookup table mapping characters to 2D binary arrays, implement functionality to print,...Input: 2D grid
Output: Printed output
coding
Medium
Verified Question
#6
6. [Onsite Integration] Bike Map
Category: Trie-based coding problemYou are building a map visualization tool that generates static maps from location data. Implement a system that reads GPS coordinates, constructs...Input: Array
Output: Computed result
coding
Hard
Verified Question
#7
7. Email Subscriptions
Category: String coding problemDesign a subscription management system that tracks user subscriptions and sends automated emails at specific lifecycle events. Email Types: -...Input: List
Output: Computed result
coding
Hard
Verified Question
#8
8. [Bug Squash] Mako Template Engine
Category: Tree coding problemIn this bug squash round, you will find and fix errors in a Python template library. You will receive a link to a GitHub folder containing a version...Input: List
Output: Printed output
coding
Hard
Verified Question
#9
9. [Bug Squash] Moshi JSON Library
Category: String coding problemIn this bug squash round, you will find and fix mistakes in a Java library called Moshi. You will receive a link to a GitHub folder containing a...Input: String
Output: Computed result
coding
Hard
Verified Question
#10
10. Data Center Load Scorer
Category: Graph coding problemA data center operations team monitors server energy usage to optimize resource allocation. You receive a daily dataset of all incoming requests to...Input: Graph (nodes and edges)
Output: Array
coding
Medium
Verified Question
#11
11. Content Validation Pipeline
Category: String coding problemA platform ingests user-generated content records in a simplified CSV format. Before indexing or displaying any content, each record must pass a...Input: Array of strings
Output: Array
coding
Hard
Verified Question
#12
12. Wallet Transaction Ledger
Category: String coding problemA fintech platform processes streams of wallet transactions and needs to consolidate them into account summaries. Each transaction is logged as a...Input: List
Output: Computed result
coding
Hard
Verified Question
#13
13. Employee Record Matcher
Category: Array coding problemA data-quality team needs to detect duplicate or near-duplicate employee records in a large HR dataset. Each record is a row in a 2D string array...Input: Array
Output: Array
coding
Hard
Verified Question
#14
14. Candidate Tech Stack Filter
Category: String coding problemA hiring platform screens candidates by comparing their declared technology stack against a job's required skills. A candidate submits a...Input: Array of strings
Output: Array
coding
Hard
Verified Question
#15
15. Subscriber Notification Planner
Category: Trie-based coding problemA subscription service sends automated notifications to subscribers based on their subscription window. You are given a list of subscriber records...Input: List
Output: Array
coding
Medium
Verified Question
#16
16. Support Ticket Dispatcher
Category: Graph coding problemA customer support platform assigns incoming tickets to agents to keep workloads balanced. You are given a list of agent names and a list of tickets...Input: Graph (nodes and edges)
Output: Array
coding
Medium
Verified Question
#17
17. Order Payment Reconciler
Category: String coding problemA billing system needs to match incoming payments to open orders. Each payment arrives as a comma-separated string with three fields: a payment ID, a...Input: List
Output: Computed result
coding
Medium
Verified Question
#18
18. Service Usage Cost Calculator
Category: Array coding problemA cloud billing module computes the total cost for a customer's monthly usage. You are given a
usage_report specifying the target region and...Input: ArrayOutput: Computed result
coding
Hard
greedy
#1
1. [OA] Greedy — Implement the optimal currency conversion system to minimize losses due to currency fluctuations while making payments
Stripe operates globally, dealing with multiple currencies, making effective currency conversion essential to minimize financial loss during conversions.
Given a list of currency rates where each element represents the rate to convert from one currency to another, return the maximum amount you can convert from one currency to another using a greedy algorithm for optimal conversion.
- Input:
- Output:
Input:
Output:
Explanation: The best conversion path is from 0.74 to 1.5.Example 2:
Input:
Output:
Explanation: No losses occur; simply pick the best rate.Constraints:
-
-
Given a list of currency rates where each element represents the rate to convert from one currency to another, return the maximum amount you can convert from one currency to another using a greedy algorithm for optimal conversion.
- Input:
List<double> rates- Output:
double — the maximum amount achievable after conversion.Example 1:Input:
[0.74, 1.5, 0.6]Output:
1.11Explanation: The best conversion path is from 0.74 to 1.5.Example 2:
Input:
[1.0, 0.9, 1.2]Output:
1.2Explanation: No losses occur; simply pick the best rate.Constraints:
-
1 <= rates.length <= 100-
0 < rates[i] <= 10^2
coding
Hard
sliding window
#2
2. [OA] Sliding Window — Implement the feature to track the trends of failed payment attempts in a rolling window
In the context of Stripe's payment processing system, it’s crucial to understand which payment methods are failing consistently over time. This information can help in identifying issues and improving the payment experience.
Given a list of integers representing the payment failures over the last
- Input:
- Output:
Input:
Output:
Explanation: The sliding window
Input:
Output:
Explanation: The sliding window
-
-
-
Given a list of integers representing the payment failures over the last
n hours, implement a function that determines the maximum number of failures within any continuous window of k hours.- Input:
List[int] failures, int k- Output:
int — the maximum number of failures in any sliding window of size k.Example 1:Input:
[1, 2, 1, 3, 2, 1], 3Output:
5Explanation: The sliding window
[1, 3, 2] has a sum of 5 failures.Example 2:Input:
[2, 3, 4, 5], 2Output:
7Explanation: The sliding window
[3, 4] has a sum of 7 failures.Constraints:-
1 <= failures.length <= 10^5-
1 <= failures[i] <= 10^4-
1 <= k <= failures.lengthRelated Stripe Mobile Engineer interview prep
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