Scale Engineer

Software Engineer

Software EngineerSoftware Engineer IIMedium

This interview process is designed to assess candidates for the Software Engineer II role at Groww. It evaluates technical proficiency, problem-solving skills, system design capabilities, and cultural fit.

Rounds·3

Timeline·~7d

Experience·2 - 5 yrs

Comp band·US$180000 - US$250000

Interview time·135 min

Evaluation

What they measure.

  • Problem-solving approach
  • Algorithmic knowledge
  • Code quality and efficiency
  • Debugging skills

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode and HackerRank.
  3. Study system design concepts and common architectural patterns.
  4. Prepare examples for behavioral questions using the STAR method.
  5. Understand Groww's products and business model.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice coding problems.

Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Trees, Graphs, Hash Tables) and algorithms (Sorting, Searching, Dynamic Programming, Greedy Algorithms). Practice problems related to these topics, aiming for optimal time and space complexity.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a system to handle real-time notifications for a social media platform.
  • Tell me about a time you disagreed with a team member and how you resolved it.
  • How would you optimize the performance of a slow database query?
  • Explain the difference between a process and a thread.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Bangalore

Interview focus

System design for high-traffic applicationsScalability and performance optimizationDistributed systems concepts

Common questions

  • How would you design a URL shortener service?
  • Explain the CAP theorem and its implications.
  • Describe a challenging technical problem you solved and how you approached it.

Tips

  • Focus on understanding trade-offs in system design.
  • Be prepared to discuss real-world examples of scaling challenges.
  • Familiarize yourself with common distributed system patterns.

Rounds

Round-by-round.

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

Med

Technical Interview - Coding · 45 min · Software Engineer (Mid-level)

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

What they look for

Strong understanding of data structures and algorithmsAbility to translate requirements into codeClear communication of thought process

Evaluation

  • Correctness of solution
  • Efficiency (Time and Space Complexity)
  • Code readability and maintainability
  • Problem-solving approach

Sample questions

  • Reverse a linked list.

    Data StructuresLinked Lists

  • Find the kth smallest element in a binary search tree.

    Data StructuresTreesBinary Search Trees

  • Implement a function to check if a string is a palindrome.

    AlgorithmsStrings

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode.
  2. 02Understand the time and space complexity of your solutions.
  3. 03Be prepared to explain your approach and justify your choices.

Common rejection reasons

  • ×Inability to articulate thought process
  • ×Incorrect or inefficient algorithmic solutions
  • ×Poor coding practices

DSA

Coding questions at Groww.

Frequently reported on Groww loops

View all at Groww

Other guides

More at Groww.