Software Engineer

Software EngineerStaff Engineer IIHard

This interview process is designed to assess candidates for the Staff Engineer II role at InMobi, focusing on deep technical expertise, problem-solving abilities, system design, leadership potential, and cultural fit.

Rounds·4

Timeline·~14d

Experience·8 - 15 yrs

Comp band·US$180000 - US$250000

Interview time·225 min

Evaluation

What they measure.

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

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts.
  2. Practice coding problems on platforms like LeetCode (focus on Medium/Hard).
  3. Study system design principles and common patterns.
  4. Prepare examples for behavioral questions using the STAR method.
  5. Research InMobi's business, products, and engineering culture.
  6. Think about your past projects and contributions, focusing on impact and challenges.
  7. Understand the specific technologies used at InMobi if possible.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures & Algorithms

Weeks 1-2: Data Structures & Algorithms (DSA) fundamentals. Practice 2-3 problems daily.

Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Trees, Graphs, Hash Tables) and algorithms (Sorting, Searching, Dynamic Programming, Greedy Algorithms). Practice implementing these efficiently and analyze their time/space complexity. Aim for 2-3 coding problems per day.

Questions

Commonly asked.

  • Design a URL shortener service.
  • How would you design a notification system for millions of users?
  • Explain the trade-offs between SQL and NoSQL databases.
  • Describe a challenging technical problem you solved and your approach.
  • Tell me about a time you failed and what you learned from it.
  • How do you stay updated with new technologies?
  • What are your thoughts on microservices architecture?
  • How would you optimize the performance of a web application?
  • Describe a situation where you had to influence a team's technical direction.
  • What are the key principles of building a scalable API?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Bangalore

Interview focus

Emphasis on architectural decisions and their trade-offs.Evaluation of leadership and mentorship capabilities.Deep dive into scalability and performance optimization strategies.Understanding of operational excellence and incident management.

Common questions

  • Discuss a complex distributed system you designed and scaled.
  • How would you handle a critical production issue with minimal downtime?
  • Describe a time you mentored junior engineers and influenced technical direction.
  • What are your strategies for ensuring code quality and maintainability in a large codebase?

Tips

  • Be prepared to draw detailed system diagrams.
  • Quantify your impact with specific metrics.
  • Showcase your ability to influence technical decisions across teams.
  • Highlight experience with on-call rotations and post-mortems.

Rounds

Round-by-round.

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

Hard

Technical Interview (Coding) · 60 min · Senior Software Engineer / Tech Lead

This round focuses on your core programming skills and problem-solving abilities. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will assess your ability to write clean, efficient, and correct code, as well as your approach to breaking down complex problems.

What they look for

Strong analytical and problem-solving skills.Proficiency in at least one programming language.Ability to translate requirements into working code.Clear communication of approach and trade-offs.

Evaluation

  • Correctness of the solution
  • Efficiency of the algorithm (time and space complexity)
  • Code clarity and maintainability
  • Ability to handle edge cases and constraints
  • Communication of thought process

Sample questions

  • Given a binary tree, find the lowest common ancestor of two given nodes in the tree.

    Data StructuresAlgorithmsTreesRecursion
  • Implement a function to find the k-th largest element in an unsorted array.

    Data StructuresAlgorithmsArraysSortingHeaps

Prep for this round

  1. 01Practice coding on a whiteboard or shared editor.
  2. 02Think out loud and explain your approach before coding.
  3. 03Test your code with various inputs, including edge cases.
  4. 04Be prepared to discuss alternative solutions and their trade-offs.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Lack of depth in understanding fundamental concepts.
  • ×Poorly optimized or incorrect code.
  • ×Failure to consider edge cases and constraints.

DSA

Coding questions at InMobi.

Frequently reported on InMobi loops

Other guides

More at InMobi.