Scale Engineer

Software Engineer

Software EngineerSoftware Engineer IIIMedium to Hard

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

Rounds·3

Timeline·~7d

Experience·4 - 8 yrs

Comp band·US$180000 - US$250000

Interview time·135 min

Evaluation

What they measure.

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

Preparation

How to prepare.

Tips

  1. Review fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or GeeksforGeeks, focusing on medium to hard difficulty.
  3. Study system design concepts, including scalability, availability, consistency, load balancing, caching, and database choices.
  4. Prepare for behavioral questions by reflecting on past experiences using the STAR method (Situation, Task, Action, Result).
  5. Understand Groww's mission, values, and products. Research recent news and developments.
  6. Be ready to discuss your resume in detail, highlighting relevant projects and achievements.
  7. Practice explaining your thought process clearly and concisely, especially during coding and system design rounds.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms Fundamentals

Weeks 1-2: Data Structures & Algorithms (Basics). Topics: Arrays, Linked Lists, Stacks, Queues, Trees, Heaps, Hash Tables, Sorting, Searching. LeetCode (Easy/Medium).

Weeks 1-2: Focus on core data structures and algorithms. Cover arrays, linked lists, stacks, queues, trees (binary trees, BSTs, AVL trees), heaps, and hash tables. Practice basic sorting and searching algorithms. Solve problems related to these topics on platforms like LeetCode (Easy/Medium).

Questions

Commonly asked.

  • Design a system to handle real-time notifications for a social media platform.
  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Explain the difference between processes and threads.
  • How would you design a distributed cache?
  • Describe a situation where you had to deal with a difficult stakeholder.
  • What are the trade-offs between microservices and a monolithic architecture?
  • Implement a function to reverse a linked list.
  • How do you approach performance optimization in a web application?
  • Tell me about a time you failed and what you learned from it.
  • Design an API for a ride-sharing service.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Bangalore

Interview focus

Deep understanding of distributed systems and scalability.Experience with high-frequency trading systems or financial technologies.Proficiency in specific programming languages and frameworks relevant to FinTech.Ability to handle production issues and on-call responsibilities.

Common questions

  • How would you design a real-time stock price update system for a trading platform?
  • Discuss a challenging bug you encountered and how you debugged it.
  • Explain the trade-offs between SQL and NoSQL databases for a high-throughput application.
  • Describe your experience with cloud platforms like AWS, Azure, or GCP.
  • How do you ensure code quality and maintainability in a large codebase?

Tips

  • Familiarize yourself with financial market concepts and terminology.
  • Be prepared to discuss your experience with low-latency systems.
  • Highlight any contributions to open-source projects or personal projects related to finance.
  • Understand Groww's product offerings and business model.

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 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 clean, efficient, and correct code, as well as your problem-solving approach and communication skills.

What they look for

Strong grasp of data structures and algorithms.Ability to translate a problem into code.Logical thinking and systematic approach.Attention to detail and edge cases.

Evaluation

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

Sample questions

  • Given a binary tree, find its inorder traversal.

    Data StructuresTreesRecursion

  • Implement a function to find the kth smallest element in an unsorted array.

    AlgorithmsSortingQuickSelect

  • Write a program to detect a cycle in a linked list.

    Data StructuresLinked ListsPointers

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, HackerRank.
  2. 02Focus on understanding the time and space complexity of your solutions.
  3. 03Be prepared to explain your thought process and justify your choices.
  4. 04Practice writing code on a whiteboard or in a shared editor.

Common rejection reasons

  • ×Inability to solve basic coding problems.
  • ×Poor understanding of fundamental data structures and algorithms.
  • ×Inefficient or incorrect code.
  • ×Lack of clarity in explaining the solution.

DSA

Coding questions at Groww.

Frequently reported on Groww loops

View all at Groww

Other guides

More at Groww.