Software Engineer

Software EngineerSenior Software EngineerMedium to Hard

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

Rounds·3

Timeline·~7d

Experience·4 - 10 yrs

Comp band·US$180000 - US$250000

Interview time·150 min

Evaluation

What they measure.

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

Preparation

How to prepare.

Tips

  1. Brush up on fundamental data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
  3. Study system design concepts, including databases, caching, load balancing, and microservices.
  4. Review common behavioral interview questions and prepare STAR method responses.
  5. Understand Groww's products, mission, and values.
  6. Prepare questions to ask the interviewer about the role, team, and company culture.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms (Medium/Hard LeetCode)

Weeks 1-2: Focus on core data structures (Arrays, Linked Lists, Trees, Graphs, Hash Tables) and algorithms (Sorting, Searching, Dynamic Programming, Greedy Algorithms). Practice medium to hard LeetCode problems. Review time and space complexity analysis.

Questions

Commonly asked.

  • Tell me about a time you had to deal with a difficult stakeholder.
  • How would you design a rate limiter for an API?
  • What are the differences between SQL and NoSQL databases, and when would you use each?
  • Describe a situation where you had to mentor a junior engineer.
  • How do you approach performance optimization in a distributed system?
  • Explain the concept of eventual consistency.
  • What are your thoughts on the current state of fintech?
  • How do you handle production incidents and post-mortems?
  • Design a URL shortening service.
  • What are the trade-offs of using a message queue?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Bangalore

Interview focus

Deep understanding of distributed systems and scalability.Experience with financial technologies and trading systems.Ability to mentor junior engineers and lead technical initiatives.Strong problem-solving skills in complex, high-pressure environments.

Common questions

  • How would you design a system to handle real-time stock price updates for millions of users?
  • Discuss a challenging technical problem you solved in a previous role and how you approached it.
  • Explain the trade-offs between different database technologies for a high-throughput financial application.
  • How do you ensure code quality and maintainability in a large codebase?
  • Describe your experience with cloud platforms (AWS, Azure, GCP) and specific services you've used.

Tips

  • Familiarize yourself with Groww's tech stack and recent product launches.
  • Be prepared to discuss your contributions to open-source projects or significant personal projects.
  • Highlight experience with financial regulations and compliance if applicable.
  • Practice explaining complex technical concepts clearly and concisely.

Rounds

Round-by-round.

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

Med

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

This round focuses on your core programming skills. You will be asked to solve one or two 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 fundamental data structures and algorithms.Ability to translate a problem into a working code solution.Logical thinking and systematic approach to problem-solving.

Evaluation

  • Correctness of the solution
  • Efficiency of the solution (time and space complexity)
  • Clarity and style of the code
  • Problem-solving approach

Sample questions

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

    ArrayDynamic Programming
  • Implement a function to reverse a linked list.

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

    TreeBinary Search TreeRecursion

Prep for this round

  1. 01Practice coding problems regularly.
  2. 02Understand the time and space complexity of your solutions.
  3. 03Be able to explain your thought process clearly.
  4. 04Write clean, well-commented code.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Incorrect or inefficient algorithmic solutions.
  • ×Poor coding practices (e.g., lack of error handling, unreadable code).

DSA

Coding questions at Groww.

Frequently reported on Groww loops

Other guides

More at Groww.