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Enterprise · Software Engineer Interview Guide

How to Pass the American Express Software Engineer Interview in 2026

Το DNA της American Express (TL;DR)

Amex values customer-centricity, collaborative problem-solving, and a deep understanding of financial services. They seek candidates who embody their "Blue Box Values" and can drive innovation while maintaining the premium Amex brand, demonstrating strong analytical and communication skills.

Οι συνεντεύξεις tech διεξάγονται στα αγγλικά

Ακόμη κι όταν κάνετε αίτηση τοπικά, η ίδια η συνέντευξη γίνεται σχεδόν πάντα στα αγγλικά. Σας δείχνουμε κάθε ερώτηση και prompt πρώτα στα αγγλικά — τη γλώσσα στην οποία θα γίνει η συνέντευξη — με μετάφραση από κάτω για να προετοιμαστείτε στην ισχυρότερη γλώσσα σας.

Το Interview Loop της American Express

Το onsite loop σας θα αποτελείται τυπικά από 5 γύρους.

  1. 1

    Γύρος 1

    Recruiter Screen
    Motivation, role fit, logistics.
  2. 2

    Γύρος 2

    Coding Screen
    LeetCode-medium algorithmic problems under time pressure.
  3. 3

    Γύρος 3

    System Design
    Distributed systems, trade-offs at scale, architecture under constraints.
  4. 4

    Γύρος 4

    Onsite Coding
    LeetCode-hard, debugging, code clarity, edge cases.
  5. 5

    Γύρος 5

    Behavioral / Leadership
    Past evidence of ownership, influence, resolving conflict.

Η ζώνη κινδύνου: Κορυφαίοι λόγοι που οι υποψήφιοι αποτυγχάνουν

Με βάση τη βάση δεδομένων μας με αποτελέσματα συνεντεύξεων American Express, αποφύγετε αυτές τις συνηθισμένες παγίδες:

  • Not demonstrating resilience or a path forward.
  • Not clearly articulating the 'opportunity' or the 'improvement'.
  • Describing a situation without detailing their specific actions or the resolution.
  • Calculating percentages incorrectly or not handling division by zero for credit limits.

Δοκιμάστε τον εαυτό σας: Πραγματικές ερωτήσεις American Express

Τρία πραγματικά prompts τραβηγμένα από τη βάση δεδομένων μας.

Τύπος · Ownership/Initiative

Tell me about a time you identified a significant opportunity for improvement in a sales process or customer engagement strategy, and what steps you took to implement the change.

Τύπος · Algorithm

Given a list of user IDs and their corresponding credit limits, and another list of transactions with user IDs and amounts, find all users whose total transaction amount in the last 30 days exceeds 80% of their credit limit. Assume you have a way to access transaction dates.

Τύπος · Conflict Resolution

Tell me about a time you had a significant disagreement with a colleague or team member. How did you approach the situation, and what was the outcome?

+ πολλές ακόμη ερωτήσεις, σήματα και επεξεργασμένα παραδείγματα

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American Express Interview Question Bank

A sample from our database, grouped by round. Sign up to see the full set.

9 of 21 questions shown

1

Recruiter Screen

1
  1. 1

    Τύπος · Motivation

    Why are you interested in a Software Engineer role at American Express, particularly within our finance and payments technology domain?
2

Coding Screen

3
  1. 2

    Τύπος · Algorithm

    Given a list of credit card transactions with timestamps, amounts, and merchant IDs, write a function to detect potentially fraudulent transactions. A transaction is considered potentially fraudulent if it occurs within 5 minutes of another transaction from the same merchant with an amount greater than $1000.
  2. 3

    Τύπος · Data Structure

    Implement a Least Recently Used (LRU) cache with a fixed capacity. The cache should support `get(key)` and `put(key, value)` operations. `get` should return the value if the key exists and mark it as recently used, otherwise return -1. `put` should insert or update the key-value pair, evicting the least recently used item if the cache exceeds capacity.
  3. + 1 more questions in this round (sign up to unlock)
3

System Design

3
  1. 4

    Τύπος · System Design

    Design a system to process and analyze real-time credit card transaction data for fraud detection. Consider aspects like data ingestion, processing latency, storage, and alerting.
  2. 5

    Τύπος · System Design

    Design a rate limiter for API requests to protect backend services. Consider different strategies (e.g., token bucket, leaky bucket) and how to implement it in a distributed environment.
  3. + 1 more questions in this round (sign up to unlock)
4

Onsite Coding

4
  1. 6

    Τύπος · Algorithm

    Given a dataset of customer purchase histories, implement a function to find the top K most frequently purchased items. Consider efficiency for large datasets.
  2. 7

    Τύπος · Debugging

    Here is a code snippet that is supposed to calculate the average transaction amount for a given user, but it contains a subtle bug. Find and fix the bug. [Provide a code snippet with a bug, e.g., integer division, incorrect loop termination, off-by-one error, or mishandling of empty lists].
  3. + 2 more questions in this round (sign up to unlock)
5

Behavioral / Leadership

10
  1. 8

    Τύπος · Conflict Resolution

    Tell me about a time you had a significant disagreement with a cross-functional partner (e.g., engineering, marketing, sales). How did you approach it, and what was the outcome?
  2. 9

    Τύπος · Behavioral

    Tell me about a time you had to work with a difficult stakeholder or a team member with a different working style. How did you approach the situation, and what was the outcome?
  3. + 8 more questions in this round (sign up to unlock)

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Interview tracks at American Express

How American Express's DNA translates across functions. Pick your role.

SWEs are evaluated on technical proficiency (data structures, algorithms, system design), problem-solving, and collaboration. Showcase experience with scalable, secure financial applications, cloud platforms, and modern tech stacks relevant to Amex's global infrastructure.

Ownership/Initiative

Tell me about a time you identified a significant opportunity for improvement in a sales process or customer engagement strategy, and what steps you took to implement the change.

Algorithm

Given a list of user IDs and their corresponding credit limits, and another list of transactions with user IDs and amounts, find all users whose total transaction amount in the last 30 days exceeds 80% of their credit limit. Assume you have a way to access transaction dates.

+ 1 more

Unlock the Software Engineer grading rubric for American Express

See full Software Engineer guide

Compare American Express with other tech interviews

Same DNA, different bar. Browse the closest companies in our database and see how their loops differ.

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