Software Engineer

Software EngineerL2Medium

This interview process is designed to assess candidates for the Software Engineer (L2) role at Zoho. It evaluates technical proficiency, problem-solving skills, and cultural fit within the company.

Rounds·4

Timeline·~7d

Experience·2 - 5 yrs

Comp band·US$80000 - US$120000

Interview time·180 min

Evaluation

What they measure.

  • Problem-solving ability
  • Algorithmic thinking
  • Data structure knowledge
  • Coding proficiency
  • Understanding of core programming concepts

Preparation

How to prepare.

Tips

  1. Brush up on fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
  2. Practice coding problems regularly, focusing on both time and space complexity.
  3. Review object-oriented programming (OOP) principles and design patterns.
  4. Understand the basics of databases (SQL and NoSQL) and operating systems.
  5. Prepare for behavioral questions by reflecting on your past experiences using the STAR method (Situation, Task, Action, Result).
  6. Research Zoho's products, values, and recent news.
  7. Be ready to discuss your resume and projects in detail.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures Fundamentals

Weeks 1-2: Data Structures (Arrays, Lists, Stacks, Queues, Trees) & Complexity Analysis.

Weeks 1-2: Focus on core data structures like arrays, linked lists, stacks, queues, and trees. Practice problems related to traversal, insertion, deletion, and searching. Understand time and space complexity analysis.

Questions

Commonly asked.

  • Write a function to reverse a linked list.
  • Given an array of integers, find the two numbers that add up to a specific target.
  • Explain the concept of polymorphism with a Java example.
  • How would you design a system to handle real-time notifications?
  • Describe a situation where you disagreed with a team member and how you resolved it.
  • What are the advantages of using a NoSQL database over a relational database for certain use cases?
  • How do you optimize the performance of a web application?
  • What is the difference between a process and a thread?
  • Tell me about a time you failed and what you learned from it.
  • How do you approach debugging a complex issue?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

India

Interview focus

Emphasis on practical application of data structures and algorithms.Understanding of core Java/Python/relevant language concepts.Problem-solving approach and ability to articulate solutions.Familiarity with common design patterns.

Common questions

  • How would you design a URL shortener service?
  • Explain the difference between SQL and NoSQL databases.
  • Describe a challenging technical problem you solved and how you approached it.
  • What are the principles of SOLID design?
  • How do you handle concurrency in your applications?

Tips

  • Practice coding problems on platforms like LeetCode and HackerRank.
  • Review fundamental computer science concepts.
  • Be prepared to explain your thought process clearly.
  • Understand the specific technologies mentioned in the job description.

Rounds

Round-by-round.

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

Med

Technical Interview (Coding) · 45 min · Technical Interviewer (Software Engineer/Senior Software Engineer)

This round focuses on assessing your fundamental programming skills. You will be asked to solve coding problems that test your knowledge of data structures and algorithms. The interviewer will evaluate your ability to write efficient and correct code, as well as your approach to problem-solving and your ability to explain your thought process.

What they look for

Strong grasp of data structures and algorithms.Ability to write clean, efficient, and bug-free code.Logical thinking and systematic approach to problem-solving.Clear communication of thought process.

Evaluation

  • Correctness of the solution
  • Efficiency of the solution (time and space complexity)
  • Code readability and structure
  • Problem-solving approach
  • Communication of the solution

Sample questions

  • Find the middle element of a linked list.

    Linked ListPointers
  • Implement a function to check if a binary tree is a Binary Search Tree (BST).

    TreeBinary Search TreeRecursion
  • Given an array of integers, find the maximum subarray sum.

    ArrayDynamic ProgrammingKadane's Algorithm
  • Write a function to find the first non-repeating character in a string.

    StringHash Map

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, HackerRank, or GeeksforGeeks.
  2. 02Understand the time and space complexity of your solutions.
  3. 03Be prepared to explain your code line by line.
  4. 04Practice explaining your approach before you start coding.

Common rejection reasons

  • ×Inability to solve basic coding problems.
  • ×Poor understanding of fundamental data structures and algorithms.
  • ×Lack of clarity in explaining thought process.
  • ×Incorrect time or space complexity analysis.

DSA

Coding questions at Zoho.

Frequently reported on Zoho loops

Other guides

More at Zoho.