Stripe 2026 Summer Intern VO Interview Sharing|Coding + Integration Two Rounds of Analysis

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Recently received Stripe 2026 Summer Intern VO Invitation, the whole process mainly includes two rounds:Coding And Integration, relatively strong. The time to receive a VO is fast, and an appointment can usually be made within two weeks of completing the OA. After the whole process, the interview pace was tight but the experience was good. Share the interview question types, ideas and preparation experience. If you are also preparing for VO from Stripe or similar large companies, I hope it will be helpful.

Stripe 2026 VO Interview Overview

  • Post:Stripe 2026 Summer International
  • Interview rounds: Two rounds of VO (Coding + Integration)
  • Form: Online, Coding focuses on business logic implementation, and Integration focuses on project practice.
  • Interview time schedule: VO will be arranged within two weeks after OA is completed
  • Difficulty: Above average, with a sense of closeness to the business

Round 1: Coding round

Question background
The interviewer gave a business-related scenario: design a simple payment transaction recording system and implement a PaymentLedger Class used to record payment transactions. Request guarantee of sameness Payment_id There is no duplicate record, and the payment will be deducted from the total income after the refund.

Follow-up questions

  1. How to support partial refund (refund amount is less than the original payment amount)?
  2. How to optimize Get_payments_by_date Performance (if the data volume is large)?
  3. What to do if the timestamp format may be illegal?
  4. How to support query by time range (such as a certain month)?
  5. How to persist this data (store it in the database)

Reference Python code

From collections import defaultdict
from datetime import datetime

class PaymentLedger:
    def __init__(self):
        self.payments = {} # payment_id -> payment info
        self.total_income = 0
        self.date_index = defaultdict(list)

    def add_payment(self, payment_id, amount, timestamp):
        if payment_id in self.payments:
            return False
        # Time validity check
        try:
            ts = datetime.fromisoformat(timestamp)
        except:
            return False
        self.payments[payment_id] = {'amount': amount, 'timestamp': ts, 'refunded': 0}
        self.total_income += amount
        self.date_index[ts.date()].append(payment_id)
        return True

    def refund_payment(self, payment_id, amount=None):
        if payment_id not in self.payments:
            return False
        record = self.payments[payment_id]
        refund_amount = amount if amount is not None else record['amount'] - record['refunded']
        record['refunded'] += refund_amount
        self.total_income -= refund_amount
        return True

    def get_payments_by_date(self, date):
        return [self.payments[pid] for pid in self.date_index.get(date, [])]

Round 2: Integration round

This round of interviews is conducted in the form of a small project. The interviewer will ask you to clone the Git repository, run the project locally and implement a number of specified functions. The topic content mainly involves API calls, data processing and business logic implementation. The focus of the examination is not only the correctness of the logic, but also the rationality of the code structure, testing capabilities and debugging skills. Compared with the Coding round, this round is more focused on practical engineering capabilities, requiring candidates to have a clear understanding of the project structure and API, and to be able to complete development tasks independently.

Problem-solving ideas

  1. Familiar with the warehouse structure and clear data flows and interfaces
  2. Implement the specified function to ensure that the input and output meet the requirements
  3. Call the API and process the returned data, paying attention to exceptions and edge cases
  4. Write simple tests to verify logical correctness

This round is more focused on actual engineering capabilities, not only testing logic implementation, but also testing the understanding of project structure and API.

Full assistance to help you overcome OA and VO

Interviewing never needs to be a solo battle. During the preparation process, finding reliable resources, experience sharing, and like-minded partners will save you a lot of detours.Programhelp Provide long-term interview assistance, covering from OA to VO, improving interview efficiency and pass rate. Whether it is FAANG, Stripe, TikTok or other first-line Internet companies, long-term continuous guidance can make your preparations more directional and stable.

author avatar
Jory Wang Amazon Senior Software Development Engineer
Amazon senior engineer, focusing on the research and development of infrastructure core systems, with rich practical experience in system scalability, reliability and cost optimization. Currently focusing on FAANG SDE interview coaching, helping 30+ candidates successfully obtain L5/L6 Offers within one year.
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