Scale Engineer

Software Engineer

Software EngineerSoftware EngineerMedium to Hard

This interview process is designed to assess candidates for the Software Engineer role at Razorpay. It evaluates technical skills, problem-solving abilities, and cultural fit to ensure a strong addition to our engineering team.

Rounds·3

Timeline·~7d

Experience·2 - 5 yrs

Comp band·US$100000 - US$150000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structures knowledge
  • Coding proficiency
  • Debugging skills

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 on platforms like LeetCode, HackerRank, or GeeksforGeeks, focusing on medium to hard difficulty.
  3. Review core computer science concepts such as operating systems, databases, and networking.
  4. Understand common system design principles and be able to discuss trade-offs.
  5. Prepare to talk about your past projects in detail, focusing on your contributions, challenges, and learnings.
  6. Research Razorpay's products, values, and recent news to understand our business context.
  7. Prepare thoughtful questions to ask the interviewer about the role, team, and company culture.

Study plan

Fig · Study plan — 03 phases

01 / 03
01

Phase 01 of 03

Data Structures & Algorithms

Weeks 1-2: DSA fundamentals and practice (2-3 problems/day).

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, stacks, queues, trees (binary, BST, AVL), heaps, hash tables, graphs. Practice algorithms like sorting (quick, merge, heap), searching (binary), graph traversal (BFS, DFS), dynamic programming basics, and greedy algorithms. Aim for 2-3 problems per day.

Questions

Commonly asked.

  • Write a function to find the k-th largest element in an unsorted array.
  • Design a system to handle real-time notifications for a social media platform.
  • Explain the difference between SQL and NoSQL databases and when to use each.
  • Describe a situation where you had to deal with a difficult stakeholder.
  • How would you optimize the performance of a slow-loading web page?
  • What are the trade-offs between monolithic and microservices architectures?
  • Tell me about a time you made a mistake and how you handled it.
  • Implement a function to reverse a linked list.
  • Design an API for a simple e-commerce product catalog.
  • How do you approach code reviews?
  • What are your thoughts on test-driven development (TDD)?
  • Describe a complex bug you encountered and how you debugged it.

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Bangalore

Interview focus

Emphasis on practical application of data structures and algorithms.Understanding of distributed systems and scalability.Experience with cloud platforms (AWS, GCP, Azure).Familiarity with specific programming languages and frameworks relevant to the team.

Common questions

  • Discuss a challenging project you worked on and how you overcame obstacles.
  • How do you approach debugging complex issues?
  • Describe your experience with CI/CD pipelines.
  • What are your thoughts on microservices architecture?
  • How do you ensure code quality and maintainability?

Tips

  • Be prepared to discuss your contributions to open-source projects if applicable.
  • Showcase projects that demonstrate your ability to work with large datasets or high traffic.
  • Research Razorpay's tech stack and tailor your answers accordingly.
  • Prepare questions about team structure, development processes, and technical challenges.

Rounds

Round-by-round.

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

DSA

Coding questions at razorpay.

Frequently reported on razorpay loops

View all at razorpay

Other guides

More at razorpay.