Software Engineer

Software EngineerSDE IVHard

The Software Engineer SDE IV interview at InMobi is a rigorous process designed to assess a candidate's technical expertise, problem-solving abilities, system design skills, and cultural fit. It typically involves multiple rounds, including technical interviews, a system design round, and a behavioral/managerial round. The goal is to identify candidates who can not only solve complex technical challenges but also contribute to the company's growth and collaborative environment.

Rounds·3

Timeline·~7d

Experience·6 - 10 yrs

Comp band·US$150000 - US$200000

Interview time·165 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structure knowledge
  • Code quality and efficiency

Preparation

How to prepare.

Tips

  1. Brush up on fundamental data structures and algorithms (arrays, linked lists, trees, graphs, hash maps, sorting, searching).
  2. Practice coding problems on platforms like LeetCode, HackerRank, focusing on medium to hard difficulty.
  3. Review system design concepts: load balancing, caching, databases (SQL/NoSQL), message queues, microservices, CAP theorem.
  4. Understand distributed systems concepts: consistency, availability, partitioning.
  5. Prepare to discuss your past projects in detail, focusing on your contributions and technical challenges.
  6. Research InMobi's business, products, and technology stack.
  7. Practice behavioral questions using the STAR method (Situation, Task, Action, Result).
  8. Be ready to articulate your thought process clearly and concisely.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures & Algorithms

Weeks 1-2: DSA Fundamentals & Practice (2-3 problems/day).

Weeks 1-2: Focus on core Data Structures and Algorithms. Cover arrays, linked lists, stacks, queues, trees (binary, BST, AVL), heaps, hash tables, graphs. Practice problems related to searching, sorting, recursion, dynamic programming. Aim for 2-3 problems per day.

Questions

Commonly asked.

  • Design a URL shortening service like TinyURL.
  • Implement a rate limiter.
  • Given a large log file, find the top K most frequent IP addresses.
  • Explain the trade-offs between SQL and NoSQL databases.
  • How would you design a distributed cache?
  • Describe a time you faced a significant technical challenge and how you overcame it.
  • How do you ensure the scalability and reliability of a system you build?
  • What are your thoughts on microservices vs. monolithic architecture?
  • Tell me about a time you disagreed with a technical decision and how you handled it.
  • How do you mentor junior engineers?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Bangalore

Interview focus

Emphasis on leadership and mentorship capabilities.Assessment of ability to drive technical initiatives.Understanding of scalability and performance in a high-traffic environment.Knowledge of specific InMobi products and their technical underpinnings.

Common questions

  • Discuss a challenging project you led.
  • How do you handle technical disagreements within a team?
  • Describe a time you had to mentor a junior engineer.
  • What are your thoughts on the latest trends in mobile advertising technology?

Tips

  • Be prepared to discuss your experience with large-scale distributed systems.
  • Highlight instances where you influenced technical direction.
  • Research InMobi's recent technological advancements and product launches.
  • Showcase your ability to mentor and lead technical teams.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

Hard

Technical Interview (Data Structures & Algorithms) · 60 min · Senior Software Engineer / Tech Lead

This round focuses on assessing your core computer science fundamentals. You will be presented with 1-2 coding problems that require a deep understanding of data structures and algorithms. The interviewer will evaluate your ability to analyze the problem, devise an efficient solution, write clean and correct code, and discuss the time and space complexity of your approach. Expect follow-up questions on optimizations and alternative solutions.

What they look for

Strong analytical and problem-solving skills.Proficiency in coding and debugging.Ability to think through edge cases and constraints.

Evaluation

  • Correctness of the solution
  • Efficiency of the solution (time and space complexity)
  • Code clarity and maintainability
  • Problem-solving approach

Sample questions

  • Given an array of integers, find the contiguous subarray with the largest sum.

    ArrayDynamic Programming
  • Implement a function to find the k-th smallest element in a binary search tree.

    TreeBinary Search TreeRecursion
  • Design a data structure that supports insert, delete, and getRandom in O(1) average time.

    Hash TableArrayData Structures

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, focusing on medium to hard difficulty.
  2. 02Be comfortable explaining your thought process step-by-step.
  3. 03Write code on a whiteboard or shared editor, simulating the interview environment.
  4. 04Consider edge cases and constraints thoroughly.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Lack of fundamental understanding of data structures and algorithms.
  • ×Poor coding practices (e.g., inefficient solutions, unreadable code).

DSA

Coding questions at InMobi.

Frequently reported on InMobi loops

Other guides

More at InMobi.