Make My Trip Software Engineer interview questions & guide 2026

The following questions represent the patterns observed in recent Make My Trip backend interview cycles. While specific tasks may vary depending on the team and seniority, you should expect a strong focus on core computer science fundamentals and algorithmic efficiency.

Coding and Algorithms

These sessions are designed to test your ability to write clean, efficient, and bug-free code under time pressure. You will be expected to explain your time and space complexity clearly.

• Intersection of Two Linked Lists
• Course Schedule II (Graph traversal and topological sorting)

Preparation for Make My Trip requires a balanced approach. You must be comfortable translating abstract requirements into functional, scalable code while maintaining a focus on performance.

Technical Proficiency – You should have a mastery of data structures and algorithms. Interviewers look for your ability to select the most optimal approach and implement it without unnecessary complexity.

Problem Decomposition – When faced with a coding challenge, demonstrate your ability to break down the problem into smaller, manageable parts. Discuss your thought process out loud to show the interviewer how you structure your logic before you begin writing code.

Systems Thinking – Beyond just passing test cases, consider the real-world implications of your code. Think about how your solution would behave in a production environment, especially regarding memory usage and latency.

The interview process at Make My Trip is rigorous and focuses on evaluating your technical foundation and your potential to contribute to their backend systems. You can expect a structured series of rounds that prioritize direct problem-solving skills, particularly in early-stage backend assessments.

This timeline provides a high-level view of the progression from initial technical screening to more advanced rounds. Candidates should use this as a roadmap to manage their preparation pace, ensuring they are well-versed in algorithmic efficiency before the early technical assessments.

Algorithmic Problem Solving

This area measures your ability to solve complex logic puzzles efficiently. Success here is defined by your ability to identify the correct pattern, such as graph traversal or linked list manipulation, and implement a solution that adheres to optimal time and space constraints.

Be ready to go over:

• Graph Theory – Understanding cycles, pathfinding, and dependency resolution.
• Linked List Operations – Manipulating pointers and handling edge cases like cycles or empty lists.
• Complexity Analysis – Clearly articulating the Big O complexity of your solutions.

Example questions or scenarios:

• "Given a dependency graph of tasks, determine if all tasks can be completed."
• "Find the intersection point of two linked lists with minimal space complexity."

As a Software Engineer, your primary responsibility is to design, develop, and maintain high-performance backend services. You will work closely with product managers and cross-functional teams to translate business requirements into technical specifications. This involves writing high-quality code, conducting thorough code reviews, and ensuring the stability of the services you own.

You will often be involved in the full software development lifecycle. This includes debugging production issues, optimizing existing codebases for better performance, and participating in architectural discussions to ensure systems can scale to meet the fluctuating demands of the travel industry.

A successful candidate for Software Engineer must possess a solid foundation in computer science and a passion for building scalable software.

• Must-have skills: Proficiency in at least one object-oriented programming language (e.g., Java, C++), deep understanding of data structures and algorithms, and experience with version control systems like Git.
• Nice-to-have skills: Experience with microservices architecture, familiarity with cloud-based infrastructure, and prior exposure to high-concurrency environments.
• Experience level: A strong background in backend development is essential, with a preference for candidates who have demonstrated the ability to deliver production-ready code in a fast-paced environment.

Q: How much time should I dedicate to algorithmic preparation? A: Given the focus on coding rounds in the initial stages, you should dedicate significant time to practicing problems that involve graphs, trees, and linked lists. Aim to be comfortable solving medium to hard-level problems within 30 to 40 minutes.

Q: Is the interview process mostly remote or in-person? A: While processes can evolve, expect a mix of remote technical screens followed by potential onsite or virtual rounds. Always confirm the current format with your recruiter.

Q: What is the best way to stand out during the coding round? A: Communication is key. Do not jump straight into coding; clarify constraints, discuss your proposed approach, and consider the edge cases before writing the first line of code.

• Structure your thoughts: Use a systematic approach (Clarify -> Approach -> Code -> Test).
• Explain your trade-offs: If you choose one data structure over another, explain why you made that choice regarding performance.
• Practice under pressure: Use a timer to simulate the stress of the actual interview environment.
• Review your fundamentals: Don't overlook the basics of memory management and runtime analysis.

The Software Engineer role at Make My Trip offers a unique opportunity to work on large-scale systems that impact millions of users. By focusing on mastering algorithmic patterns and demonstrating clear, logical communication, you can significantly improve your standing during the interview process.

For additional interview insights, practice questions, and comprehensive preparation resources, candidates can explore Dataford. Stay focused, prepare diligently, and approach your interviews with the confidence that comes from thorough practice.

This data provides a snapshot of compensation trends for this role. Candidates should interpret these figures as general market benchmarks, noting that final offers are influenced by individual experience, specific team needs, and internal compensation bands.