Flipkart

Flipkart Senior Software Engineer Interview Experience (2026)

FlipkartSenior Software Engineer
Bangalore20264r30 LPA
MEDIUM
Difficulty
MID
Experience
OFF CAMPUS
Hiring Type
8
Views

Skills Required

JavaSystem DesignSpring BootMongoDBCS FUNDAMENTALSDSA

Round 1 – DSA + Coding (90 Minutes)

The first round consisted of two coding problems on an online coding platform. The focus was on writing optimized solutions and explaining the approach.

Questions:

  • Given an array of integers, find the longest subarray with sum equal to K.
  • Design an LRU Cache supporting O(1) get() and put() operations.

Follow-up Discussion:

  • Time and space complexity analysis.
  • Edge cases and scalability.
  • How would the solution behave for very large datasets?

Topics Covered:

  • HashMap
  • Sliding Window
  • Linked List
  • Design Problems

Round 2 – Java, Spring Boot & MongoDB (75 Minutes)

This round focused on backend development and framework knowledge.

Java

  • Difference between HashMap and ConcurrentHashMap.
  • How does JVM memory management work?
  • Explain volatile, synchronized, and ReentrantLock.
  • Java 8 Stream API questions.
  • Garbage Collection basics.

Spring Boot

  • Bean lifecycle.
  • Dependency Injection.
  • Spring Boot Auto Configuration.
  • REST API exception handling.
  • Transaction Management.
  • Microservices communication.

MongoDB

  • Indexes and compound indexes.
  • Aggregation Pipeline.
  • Embedding vs Referencing.
  • Sharding basics.
  • Why choose MongoDB over a relational database?

A small coding task was also given to design a REST API for Product Inventory with CRUD operations.


Round 3 – System Design (90 Minutes)

The interviewer asked me to design a Product Recommendation Service similar to Flipkart.

Discussion included:

  • High-level architecture.
  • API Design.
  • Database selection.
  • Cache using Redis.
  • Handling millions of requests.
  • Horizontal scaling.
  • Load Balancer.
  • Message Queue for asynchronous processing.
  • Logging and Monitoring.
  • Failure handling.

The interviewer continuously asked follow-up questions about scaling, bottlenecks, and improving latency.


Round 4 – Hiring Manager + CS Fundamentals (60 Minutes)

The discussion started with my previous projects and the technical challenges I had solved.

CS Fundamentals

  • Process vs Thread.
  • Deadlock conditions.
  • Virtual Memory.
  • Database Normalization.
  • ACID properties.
  • CAP Theorem.
  • Indexing vs Partitioning.
  • SQL vs NoSQL.
  • REST vs gRPC.

Behavioral questions included:

  • Tell me about a production issue you resolved.
  • A time when you disagreed with your team.
  • How do you review code?
  • How do you mentor junior engineers?

The interviewer also discussed my current responsibilities, architecture decisions, and ownership of production systems.


Result

Selected.


Preparation Tips

  • Practice medium-level DSA problems focusing on HashMap, Trees, Graphs, and Dynamic Programming.
  • Be comfortable with Java multithreading, collections, and JVM internals.
  • Revise Spring Boot concepts such as Dependency Injection, Transactions, Security, and REST API best practices.
  • Learn MongoDB indexing, aggregation, and schema design.
  • Prepare one end-to-end system design (URL Shortener, Product Catalog, Notification Service, etc.).
  • Revise Operating Systems, DBMS, Networking, and OOP concepts.
  • Be ready to discuss projects in depth, including architecture decisions and performance optimizations.

Key Topics

FlipkartSenior Software EngineerJavaSpring BootMongoDBData Structures and AlgorithmsSystem DesignREST APIRedisLoad BalancerMessage QueueHashMapConcurrentHashMapJVMGarbage CollectionCAP TheoremACIDSQLNoSQL

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