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Enterprise · Software Engineer Interview Guide

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Interview language: English

How to Pass the Trendyol Software Engineer Interview in 2026

The Trendyol DNA (TL;DR)

The final leadership interview at Trendyol often evaluates how candidates align with the company's 'Customer Obsession' principle, focusing on their ability to deliver impactful solutions that enhance the user experience across the Trendyol platform. They seek individuals who can articulate how their past work directly contributed to measurable business outcomes.
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The Trendyol Interview Loop

Your onsite loop will typically consist of 5 rounds.

  1. 1

    Round 1

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

    Round 2

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

    Round 3

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

    Round 4

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

    Round 5

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

The Danger Zone: Top Reasons Candidates Fail

Based on our database of Trendyol interview outcomes, avoid these common traps:

  • Not handling the time window constraint (last hour) efficiently.
  • Not considering the scale of potential orders and stock data.
  • Not handling partial fulfillment logic correctly or edge cases like zero stock.
  • Inefficient graph traversal or data structure usage.

Test Yourself: Real Trendyol Questions

Three real prompts pulled from our database.

Type · past-experience

During a high-traffic campaign like Mega Eylul, we often face trade-offs between system performance and providing real-time inventory visibility to customers. Tell me about a time you had to prioritize one of these over the other and how you ensured the customer experience remained seamless despite the technical constraints.

Type · algorithmic

You are given a stream of product view events, each with a product ID and a user ID. Design a data structure and algorithm to return the top K most viewed products in the last hour. Assume you can only store a limited amount of data.

Type · hard-coding

Implement a function to efficiently find all pairs of products that have a similarity score above a given threshold, based on a large dataset of product attributes. Consider optimizing for performance when the number of products is very large.

+ many more questions, signals, and worked examples

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Trendyol Interview Question Bank

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

9 of 13 questions shown

1

Recruiter Screen

1
  1. 1

    Type · motivation

    Why are you interested in working at Trendyol specifically, and what aspects of our platform or business model excite you the most?
2

Coding Screen

3
  1. 2

    Type · algorithmic

    Given a list of product IDs and their corresponding stock counts, and a list of customer orders, design an algorithm to efficiently determine which orders can be fulfilled given the current stock. Assume orders can be partially fulfilled if not enough stock is available for the full quantity.
  2. 3

    Type · algorithmic

    Implement a function that takes a list of user IDs and their last login timestamps, and returns the IDs of users who have been inactive for more than 30 days. The timestamps are in Unix epoch time.
  3. + 1 more questions in this round (sign up to unlock)
3

System Design

3
  1. 4

    Type · design

    Design a recommendation system for Trendyol that suggests products to users based on their browsing history, purchase history, and similar users' behavior. Consider scalability, real-time updates, and cold-start problems.
  2. 5

    Type · design

    Design a distributed rate limiter for Trendyol's API gateway to protect backend services from being overwhelmed by traffic. Discuss how you would handle concurrency, accuracy, and different limiting strategies (e.g., per user, per IP).
  3. + 1 more questions in this round (sign up to unlock)
4

Onsite Coding

3
  1. 6

    Type · hard-coding

    Implement a function to find the shortest path between two products in a 'related products' graph. The graph is represented by an adjacency list where each edge has a weight representing the similarity score. Use Dijkstra's algorithm or a similar approach.
  2. 7

    Type · debugging

    Here is a piece of code that is supposed to calculate the total price of items in a shopping cart, applying discounts based on product category and user loyalty status. It's producing incorrect results for certain edge cases. Debug and fix it.
  3. + 1 more questions in this round (sign up to unlock)
5

Behavioral / Leadership

3
  1. 8

    Type · past-experience

    Tell me about a time you had to work with a technically challenging legacy system. What steps did you take to understand it, make improvements, and what was the outcome?
  2. 9

    Type · past-experience

    During a high-traffic campaign like Mega Eylul, we often face trade-offs between system performance and providing real-time inventory visibility to customers. Tell me about a time you had to prioritize one of these over the other and how you ensured the customer experience remained seamless despite the technical constraints.
  3. + 1 more questions in this round (sign up to unlock)

Unlock all 13 Trendyol questions, free

No credit card. Every question with its framework, the grading signals interviewers score against, and a worked answer for each.

Unlock all 13 Trendyol questions

Interview tracks at Trendyol

How Trendyol's DNA translates across functions. Pick your role.

Compare Trendyol with similar employers

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Practice Trendyol interviews end-to-end

Sample answers

What a strong answer to these Trendyol interview questions shows.

During a high-traffic campaign like Mega Eylul, we often face trade-offs between system performance and providing real-time inventory visibility to customers. Tell me about a time you had to prioritize one of these over the other and how you ensured the customer experience remained seamless despite the technical constraints.

A strong answer shows: Prioritizes customer-centric outcomes; Understands trade-offs in distributed systems; Connects technical decisions to business KPIs; Demonstrates calm under high-pressure event conditions.

You are given a stream of product view events, each with a product ID and a user ID. Design a data structure and algorithm to return the top K most viewed products in the last hour. Assume you can only store a limited amount of data.

A strong answer shows: Efficiently tracks counts within a sliding window.; Uses appropriate data structures for top-K retrieval.; Considers memory limitations..

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