# Software Engineer
**Role:** Software Engineer · **Level:** Software Engineer
**Company:** [razorpay](https://scaleengineer.com/companies/razorpay)
**Difficulty:** Medium to Hard
**Salary:** US$100000 - US$150000
**Experience:** 2 - 5
**Timeline:** ~7 days
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.
Canonical: https://scaleengineer.com/interviews/razorpay/software-engineer-software-engineer
---
## Overall evaluation

- Technical Skills
- System Design & Architecture
- Behavioral & Cultural Fit

## Questions 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.

## Preparation tips

### lists

- Brush up on fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
- Practice coding problems on platforms like LeetCode, HackerRank, or GeeksforGeeks, focusing on medium to hard difficulty.
- Review core computer science concepts such as operating systems, databases, and networking.
- Understand common system design principles and be able to discuss trade-offs.
- Prepare to talk about your past projects in detail, focusing on your contributions, challenges, and learnings.
- Research Razorpay's products, values, and recent news to understand our business context.
- Prepare thoughtful questions to ask the interviewer about the role, team, and company culture.

### studyPlan

- {"title":"Data Structures & Algorithms","longDescription":"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.","shortDescription":"Weeks 1-2: DSA fundamentals and practice (2-3 problems/day)."}
- {"title":"System Design","longDescription":"Week 3: System Design. Study concepts like load balancing, caching, database sharding, CAP theorem, microservices architecture, API design (RESTful), message queues, and distributed systems. Review common design patterns and practice designing scalable systems like Twitter feed, URL shortener, or a chat application.","shortDescription":"Week 3: System Design principles and practice."}
- {"title":"Behavioral & Project Review","longDescription":"Week 4: Behavioral and Project Deep Dive. Reflect on your past projects and experiences. Prepare STAR method (Situation, Task, Action, Result) answers for common behavioral questions related to teamwork, problem-solving, leadership, and handling failure. Also, prepare to discuss your resume projects in depth.","shortDescription":"Week 4: Behavioral questions and project preparation."}

## Location differences

- {"location":"Bangalore","differences":{"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."],"interviewFocus":["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."],"commonQuestions":["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?"]}}
- {"location":"Remote","differences":{"tips":["Highlight projects where you took ownership and led initiatives.","Be ready to discuss trade-offs in design decisions.","Demonstrate a proactive approach to learning and problem-solving.","Ask insightful questions about Razorpay's growth and future technical direction."],"interviewFocus":["Strong emphasis on system design and architectural patterns.","Problem-solving skills with a focus on real-world scenarios.","Understanding of database design and optimization.","Experience with agile methodologies and team collaboration."],"commonQuestions":["Tell me about a time you had to influence a technical decision.","How do you handle disagreements within a team?","What are your strategies for staying updated with new technologies?","Describe your experience with performance optimization.","How do you approach designing scalable APIs?"]}}

## Round 1: Coding Round
**Type:** Technical Interview (Coding) · **Difficulty:** Medium · **Duration:** 45 min
Assess core programming skills through coding problems.
This round focuses on your core programming skills. You will be asked to solve 1-2 coding problems, typically involving 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.
**Interviewers look for:** Strong grasp of data structures and algorithms.; Ability to translate a problem into code.; Logical thinking and problem-solving skills.; Clear communication of thought process.
**Evaluation criteria:** Correctness of the solution; Efficiency of the solution (time and space complexity); Code clarity and readability; Ability to explain the approach and trade-offs
**Common rejection reasons:** Inability to articulate thought process clearly.; Poor understanding of fundamental data structures and algorithms.; Code contains significant bugs or is inefficient.; Difficulty in solving even basic algorithmic problems.
## Questions

- Given an array of integers, find the contiguous subarray with the largest sum.
- Implement a function to check if a binary tree is a valid Binary Search Tree.
- Find the first non-repeating character in a string.

## Preparation tips

- Practice coding problems regularly.
- Focus on understanding the time and space complexity of your solutions.
- Be prepared to explain your thought process step-by-step.
- Write code on a whiteboard or a shared editor, simulating the interview environment.

## Round 2: System Design Round
**Type:** System Design Interview · **Difficulty:** Hard · **Duration:** 60 min
Assess ability to design scalable and robust software systems.
This round evaluates your ability to design and architect software systems. You'll be presented with a high-level problem (e.g., design a URL shortener, a social media feed, or a notification system) and expected to propose a scalable and robust solution. This includes defining APIs, data models, and considering aspects like performance, availability, and consistency.
**Interviewers look for:** Experience in designing scalable and reliable systems.; Understanding of distributed systems concepts.; Ability to break down complex problems into manageable components.; Knowledge of databases, caching, and messaging systems.
**Evaluation criteria:** Scalability of the proposed solution; Robustness and fault tolerance; Clarity and completeness of the design; Ability to discuss trade-offs and justify decisions
**Common rejection reasons:** Lack of understanding of system design principles.; Inability to handle scale and performance considerations.; Poorly designed APIs or data models.; Not considering edge cases or failure scenarios.
## Questions

- Design a system like Twitter's news feed.
- Design a URL shortening service like bit.ly.
- Design a distributed cache system.

## Preparation tips

- Study common system design patterns and principles.
- Practice designing various types of systems.
- Be prepared to discuss trade-offs between different design choices.
- Think about scalability, reliability, and maintainability from the outset.

## Round 3: Behavioral Round
**Type:** Behavioral Interview · **Difficulty:** Medium · **Duration:** 45 min
Assess behavioral aspects and cultural fit.
This round focuses on your behavioral aspects and how you fit into the team and company culture. You'll be asked questions about your past experiences, how you handle specific situations (e.g., conflicts, failures, successes), and your motivations. The goal is to understand your work style, collaboration skills, and alignment with Razorpay's values.
**Interviewers look for:** How you handle challenges and conflicts.; Your motivation and career aspirations.; Your ability to work effectively in a team.; Alignment with Razorpay's culture of innovation and customer focus.
**Evaluation criteria:** Teamwork and collaboration skills; Problem-solving approach in real-world scenarios; Adaptability and learning agility; Cultural alignment with Razorpay's values
**Common rejection reasons:** Poor communication or interpersonal skills.; Lack of alignment with company values.; Negative attitude or lack of enthusiasm.; Inability to provide specific examples for behavioral questions.
## Questions

- Tell me about a time you had to work with a difficult colleague.
- Describe a project where you faced significant technical challenges.
- What are your strengths and weaknesses?
- Why are you interested in working at Razorpay?

## Preparation tips

- Prepare examples using the STAR method (Situation, Task, Action, Result).
- Be honest and authentic in your responses.
- Show enthusiasm for the role and the company.
- Ask questions that demonstrate your interest in the team and culture.
