Myntra Software Engineer Interview Questions + Guide in 2025

Myntra is a leading e-commerce platform specializing in fashion and lifestyle products, dedicated to providing customers with a seamless online shopping experience.

As a Software Engineer at Myntra, you will play a crucial role in developing and maintaining software applications that drive the company's e-commerce operations. Your key responsibilities will include designing, coding, testing, and deploying software solutions, as well as collaborating with cross-functional teams to ensure scalability and performance of applications. A strong focus on algorithms and data structures will be essential, as you will need to solve complex programming challenges and optimize existing systems for efficiency.

To excel in this role, you should possess a solid understanding of programming languages such as JavaScript, Python, or Java, and have experience with software development methodologies. Familiarity with database management, object-oriented programming, and system design will also be beneficial. Traits such as analytical thinking, problem-solving skills, and the ability to work in a fast-paced environment align well with Myntra's innovative culture and commitment to customer satisfaction.

This guide will help you prepare for a job interview by equipping you with a deeper understanding of the role's expectations and the types of questions you may encounter during the interview process.

The interview process for a Software Engineer at Myntra is structured to assess both technical skills and cultural fit. It typically consists of multiple rounds, each designed to evaluate different competencies relevant to the role.

1. Online Assessment

The first step in the interview process is an online coding assessment. This round usually lasts around two hours and includes multiple-choice questions (MCQs) covering topics such as data structures, algorithms, object-oriented programming, and operating systems. Additionally, candidates are required to solve coding problems that test their problem-solving abilities and coding proficiency. The coding questions often range from easy to medium difficulty, focusing on algorithms and data structures like linked lists, trees, and dynamic programming.

2. Technical Interviews

Following the online assessment, candidates typically undergo two to three technical interviews. These interviews are conducted face-to-face or via video call and focus heavily on data structures and algorithms (DSA). Interviewers may ask candidates to write code in real-time while explaining their thought process. Questions may include advanced data structures, system design, and specific programming concepts relevant to the role. Candidates should be prepared to discuss their previous projects and experiences in detail, as interviewers often delve into the candidate's resume to gauge their practical knowledge and application of concepts.

3. Managerial Round

In some cases, candidates may have a managerial round after the technical interviews. This round is less technical and focuses on assessing the candidate's fit within the team and the company culture. Questions may revolve around the candidate's career goals, motivations for joining Myntra, and how they handle teamwork and conflict. This round is crucial for understanding how well the candidate aligns with Myntra's values and work environment.

4. HR Interview

The final step in the interview process is typically an HR interview. This round is more conversational and aims to assess the candidate's overall fit for the company. Candidates can expect questions about their interests, strengths, and reasons for wanting to work at Myntra. It’s also an opportunity for candidates to ask questions about the company culture, team dynamics, and growth opportunities.

As you prepare for your interview, it's essential to familiarize yourself with the types of questions that may be asked in each round.

In this section, we’ll review the various interview questions that might be asked during a software engineering interview at Myntra. The interview process will focus on your technical skills, particularly in data structures, algorithms, and programming languages like JavaScript and Python. Be prepared to demonstrate your problem-solving abilities and discuss your past projects in detail.

Data Structures and Algorithms

1. Can you explain the difference between a stack and a queue?

Understanding the fundamental data structures is crucial for any software engineer.

How to Answer

Discuss the definitions of both data structures, their use cases, and how they differ in terms of data access.

Example

“A stack is a Last In First Out (LIFO) structure, where the last element added is the first to be removed. It’s commonly used in function call management. A queue, on the other hand, is a First In First Out (FIFO) structure, where the first element added is the first to be removed, making it ideal for scheduling tasks.”

2. How would you implement a binary search tree?

This question tests your understanding of tree data structures and their operations.

How to Answer

Explain the structure of a binary search tree and how to implement insertion, deletion, and traversal methods.

Example

“I would define a node structure with left and right pointers. For insertion, I would recursively find the correct position based on the value, ensuring that left children are less than the parent and right children are greater.”

3. Describe how you would reverse a linked list.

This is a common problem that tests your understanding of linked lists.

How to Answer

Outline the iterative or recursive approach to reverse the linked list and discuss the time complexity.

Example

“I would use an iterative approach, maintaining three pointers: previous, current, and next. I would traverse the list, reversing the links until I reach the end, resulting in a reversed linked list.”

4. What is dynamic programming, and can you provide an example?

Dynamic programming is a key concept in algorithm design.

How to Answer

Define dynamic programming and explain its principles, then provide a classic example like the Fibonacci sequence.

Example

“Dynamic programming is an optimization technique that solves complex problems by breaking them down into simpler subproblems. For instance, to compute Fibonacci numbers, I would store previously computed values to avoid redundant calculations.”

5. How do you find the longest increasing subsequence in an array?

This question assesses your problem-solving skills and understanding of algorithms.

How to Answer

Discuss the dynamic programming approach to solve this problem and its time complexity.

Example

“I would use a dynamic programming array to store the length of the longest increasing subsequence at each index. By iterating through the array and comparing elements, I can build up the solution efficiently.”

Programming Languages

1. What are higher-order functions in JavaScript?

This question tests your knowledge of JavaScript and functional programming concepts.

How to Answer

Explain what higher-order functions are and provide examples of their use.

Example

“Higher-order functions are functions that take other functions as arguments or return them as results. For example, the map function in JavaScript takes a function and applies it to each element in an array, returning a new array.”

2. Can you explain closures in JavaScript?

Closures are a fundamental concept in JavaScript that can be tricky to grasp.

How to Answer

Define closures and explain their significance in maintaining state.

Example

“A closure is a function that retains access to its lexical scope, even when the function is executed outside that scope. This is useful for data encapsulation and creating private variables.”

3. How do you handle asynchronous operations in JavaScript?

Understanding asynchronous programming is crucial for web development.

How to Answer

Discuss the various methods to handle asynchronous operations, such as callbacks, promises, and async/await.

Example

“I would use promises to handle asynchronous operations, allowing for cleaner code and better error handling. With async/await, I can write asynchronous code that looks synchronous, improving readability.”

4. What is the difference between == and === in JavaScript?

This question tests your understanding of type coercion in JavaScript.

How to Answer

Explain the difference between loose and strict equality.

Example

“The == operator checks for equality with type coercion, while === checks for both value and type equality. It’s generally recommended to use === to avoid unexpected results due to type conversion.”

5. Can you explain the concept of promises in JavaScript?

Promises are a key feature in modern JavaScript for handling asynchronous operations.

How to Answer

Define promises and explain their states and how they are used.

Example

“A promise is an object that represents the eventual completion or failure of an asynchronous operation. It can be in one of three states: pending, fulfilled, or rejected. Promises allow for cleaner handling of asynchronous code through chaining.”

System Design

1. How would you design a URL shortening service?

This question tests your system design skills and ability to think through architecture.

How to Answer

Discuss the components of the system, including database design, hashing algorithms, and scalability considerations.

Example

“I would use a relational database to store the original URLs and their shortened versions. A hashing algorithm could generate unique keys for each URL, and I would implement caching to improve performance for frequently accessed links.”

2. Describe how you would design a chat application.

This question assesses your ability to design real-time systems.

How to Answer

Outline the architecture, including client-server communication, data storage, and real-time updates.

Example

“I would use WebSockets for real-time communication between clients and the server. The server would handle message routing and storage, while a NoSQL database could be used to store chat history for scalability.”

3. How would you approach designing an e-commerce platform?

This question evaluates your understanding of complex systems.

How to Answer

Discuss the various components such as user authentication, product catalog, shopping cart, and payment processing.

Example

“I would design a microservices architecture to handle different functionalities like user management, product catalog, and order processing. Each service would communicate through APIs, allowing for scalability and maintainability.”

4. What considerations would you take into account when designing a recommendation system?

This question tests your understanding of algorithms and user experience.

How to Answer

Discuss data collection, algorithm selection, and user personalization.

Example

“I would consider user behavior data, such as purchase history and browsing patterns, to build a collaborative filtering algorithm. Additionally, I would implement A/B testing to refine recommendations based on user feedback.”

5. How would you design a file storage system?

This question assesses your ability to think through data storage and retrieval.

How to Answer

Outline the architecture, including file storage, metadata management, and access control.

Example

“I would use a distributed file system to store files across multiple servers for redundancy and scalability. Metadata would be stored in a database to facilitate quick searches and access control mechanisms would ensure data security.”