Make My Trip Software Engineer interview questions & guide 2026

Interview questions at Make My Trip are designed to test your core computer science fundamentals, analytical thinking, and practical software design skills. The following representative questions reflect actual reported candidate experiences across data structures and algorithms, system design, low-level design, and language-specific engineering concepts.

Data Structures & Algorithms

This category tests your ability to select optimal data structures, minimize time and space complexity, and code clean solutions under time constraints.

• Course Schedule II: Given a total of $N$ courses and a list of prerequisite pairs, find the ordering of courses you should take to finish all courses.
• Intersection of Two Linked Lists: Write a program to find the node at which the intersection of two singly linked lists begins.

Preparing for an engineering interview at Make My Trip requires a balanced focus on algorithmic problem-solving, solid core computer science fundamentals, and real-world system architecture. Interviewers assess not only your final code output but also your analytical communication, edge-case coverage, and engineering trade-offs.

Role-Related Technical Knowledge – Demonstrating deep command over your primary tech stack—whether backend Java/Spring Boot, frontend React.js, or mobile ecosystems—is critical. Interviewers frequently probe low-level implementation details, such as JVM memory management, garbage collection tuning, multithreading constructs, database indexing, or JavaScript event loop mechanics.

Problem-Solving & Algorithmic Rigor – You are expected to systematically break down complex algorithmic problems, choose optimal data structures (such as heaps, graphs, or dynamic programming tables), and articulate time and space complexities. Always start by clarifying requirements, discussing a brute-force approach, and progressively refining it toward an optimal solution before writing code.

Low-Level & High-Level System Architecture – Candidates must show proficiency in translating domain requirements into clean, maintainable class diagrams and microservice topologies. Evaluators look for adherence to SOLID design principles, clean interface boundaries, proper thread safety, and strategic selection of data stores, caches, and message queues.

Cultural Alignment & Operational Ownership – Make My Trip values engineers who take complete ownership of production systems and collaborate effectively across teams. Demonstrating customer focus, clear articulation of past project challenges, and a proactive approach to operational quality will differentiate your performance.

The interview pipeline for a Software Engineer at Make My Trip is structured, rigorous, and fast-paced. Depending on whether you are applying for backend, frontend, mobile, or full-stack roles, the process usually comprises 3 to 4 distinct technical and managerial evaluation stages designed to test your practical coding abilities, system architecture knowledge, and team fit.

The hiring process typically begins with an Online Assessment (OA) or a preliminary screening call focusing on data structures, algorithms, and core CS fundamentals (DBMS, OS, Networking). Following the initial assessment, candidates undergo 2 to 3 live technical rounds. Early rounds focus heavily on live coding, algorithmic logic, and language internals. Subsequent rounds transition into object-oriented low-level design (LLD), machine coding, and high-level system design (HLD) led by senior engineering managers or directors. The process concludes with a techno-managerial and cultural fit discussion.

The visual timeline above illustrates the standard progression from initial candidate sourcing to the final executive discussion and HR offer stage. Candidates should use this sequence to pace their preparation—focusing heavily on DSA and core CS subjects for the initial rounds, while allocating dedicated preparation time for system design and architecture as they advance to later stages.

To succeed in the Make My Trip engineering interviews, you must demonstrate strong execution across key technical domains. Below is a detailed breakdown of the primary evaluation areas you will encounter.

Data Structures & Algorithmic Problem Solving

Algorithmic problem-solving is a core component of the evaluation process across all tech rounds. Candidates are expected to write working, bug-free code on a shared document or whiteboard while explaining their thought process out loud.

Be ready to go over:

• Graphs & Topological Sort – Traversal techniques (BFS/DFS), cycle detection, shortest path algorithms (Dijkstra/BFS), and dependency ordering using Topological Sort (Course Schedule II).

Language Internals & Computer Science Core

Interviewers frequently dive deep into backend and web language runtimes to assess whether you understand what happens beneath high-level abstractions.

Be ready to go over:

• Java & Spring Boot Core – JVM memory model (Heap, Stack, Metaspace), Garbage Collection mechanisms, Spring Dependency Injection, Bean lifecycles, and JPA/Hibernate query optimization.
• Multithreading & Concurrency – Race conditions, deadlocks, synchronized blocks, thread pools (ExecutorService), semaphores, and volatile variables.
• Frontend & Web Internals (For UI Roles) – JavaScript Event Loop, closures, promises, custom React hooks, Web Vitals, Babel, Webpack, and DOM rendering optimizations.

Advanced concepts (less common):

• Internal hash map collision handling and treeify thresholds in Java 8+.
• Deep browser networking mechanics: DNS prefetching, TCP handshakes, TLS termination, and async/defer script loading.

As a Software Engineer at Make My Trip, you will build end-to-end software solutions that power one of the largest travel platforms in the region. You will work closely with product managers, UX designers, QA engineers, and platform engineering teams to design, develop, and maintain high-scale travel services.

Your primary day-to-day focus will center on writing clean, well-tested, and efficient production code. You will participate in technical design reviews, break down complex product requirements into modular technical specifications, and optimize existing systems for latency and throughput. Backend engineers spend significant time refining REST/gRPC APIs, designing database schemas, and tuning distributed caching mechanisms. Frontend and mobile engineers focus on crafting responsive user interfaces, optimizing rendering performance, and minimizing web/app payload sizes.

Beyond core feature development, engineers at Make My Trip share operational responsibility for the systems they run. You will participate in code reviews, establish robust automated CI/CD pipelines, set up monitoring alerts using tools like Grafana and Kibana, and debug production issues to maintain high service availability.

Candidates applying for the Software Engineer role at Make My Trip should demonstrate strong problem-solving skills, solid core CS knowledge, and hands-on experience in modern technology stacks.

Must-Have Skills

• Strong proficiency in at least one modern programming language: Java, C++, Python, JavaScript/TypeScript, or Swift/Kotlin.
• Deep knowledge of Data Structures and Algorithms with a proven ability to solve complex computational problems efficiently.
• Solid understanding of core Computer Science subjects, including Object-Oriented Programming (OOP), Database Management Systems (DBMS), Operating Systems (OS), and Computer Networks (CN).
• Hands-on experience designing and implementing RESTful APIs and modular microservice architectures.
• Experience with relational databases (MySQL, PostgreSQL) and key-value/NoSQL stores (Redis, MongoDB).

Nice-to-Have Skills

• Prior experience working on high-traffic, large-scale consumer internet platforms or e-commerce platforms.
• Familiarity with distributed messaging brokers such as Apache Kafka or RabbitMQ.
• Working knowledge of cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).
• Experience with modern frontend frameworks (React.js, Next.js) or native mobile platform development (iOS/Android).

Q: What is the overall difficulty level of the software engineering interview at Make My Trip? A: The interview difficulty generally ranges from moderate to challenging. Algorithmic questions primarily focus on LeetCode Medium to Hard levels, while system design and language internal discussions require a deep, practical understanding of high-scale engineering.

Q: How much time should I spend preparing for the interview process? A: Most successful candidates allocate 3 to 4 weeks of focused preparation. You should split your time between practicing core DSA problems, reviewing computer science fundamentals (OS, DBMS, multithreading), and working through low-level and high-level system design scenarios.

Q: Is there an emphasis on specific programming languages during coding rounds? A: No, candidates are generally free to choose their preferred programming language (Java, C++, Python, JavaScript) for algorithmic and coding assessments. However, domain-specific roles (e.g., Java Backend, Frontend React, iOS) will include dedicated rounds focusing on language-specific runtimes and frameworks.

Q: What differentiates candidates who clear the system design and LLD rounds? A: Successful candidates do not just present static architecture diagrams; they proactively discuss non-functional requirements, edge cases, thread safety, scalability bottlenecks, database selection trade-offs, and failure recovery mechanisms.

Q: How quickly does Make My Trip transition between interview rounds? A: The interview timeline is relatively quick, often completing all technical rounds within 1 to 2 weeks. However, feedback timelines after the final managerial round can occasionally vary based on team requirements and HR scheduling.

• Clarify ambiguous requirements early: Before jumping into coding or architecture diagrams, ask clarifying questions to establish explicit boundaries, user scale, and functional constraints.
• Speak your thoughts out loud: Interviewers evaluate your analytical thought process. Continually explain why you are choosing a specific data structure, algorithm, or architectural pattern over alternatives.
• Master thread safety and concurrency: Backend candidates should be prepared to discuss multi-threading constructs, race condition prevention, dynamic locking, and thread synchronization in code.

• Review core computer science fundamentals: Do not skip foundational CS topics. Expect direct questions on database ACID properties, OS memory allocation, process vs. thread differences, and browser execution lifecycles.
• Prepare concrete project stories: Be ready to discuss past technical achievements, complex production bugs you resolved, and system scaling decisions using structured communication (STAR method).

Securing a Software Engineer position at Make My Trip offers an exciting opportunity to engineer high-performance systems at massive consumer scale. The role demands a combination of sharp algorithmic problem-solving, clean object-oriented code design, and a solid grasp of distributed system fundamentals. By systematically preparing across coding algorithms, core computer science subjects, and practical system architecture, you can approach the interview process with confidence.

Focus your preparation on practicing medium and hard data structure problems, mastering low-level design patterns, and understanding end-to-end distributed system trade-offs. Ensure you can comfortably explain your design choices, handle concurrency challenges, and communicate your technical ideas effectively under pressure.

To deepen your preparation, access detailed interview experiences, practice real questions reported by candidates, and leverage comprehensive preparation resources available on Dataford.

The compensation data module above outlines typical base pay, performance bonuses, and equity structures for engineering roles at Make My Trip. Candidates should interpret these compensation insights based on their specific experience level, role seniority, and target office location during final HR negotiations.