RazorPay Frontend Interview Experience | by Gourav Hammad

Overview

Razorpay is a prominent Indian fintech company specializing in payment processing solutions. The Senior Frontend Engineer role centered on building scalable frontend applications using React and JavaScript, with a strong emphasis on performance optimization and architecture design.

Interview Process

The interview process consisted of five distinct rounds:

Round 1: Initial HR Screening (15-20 minutes)

A brief discussion to align expectations between the candidate and the company. Topics covered included the candidate's experience, tech stack (React, JavaScript, Node.js), responsibilities, and role expectations with a frontend-heavy focus and scalability emphasis. Compensation alignment was also addressed.

Round 2: Project Deep Dive + Technical Discussion (1 hour)

A comprehensive discussion focusing on past work, real-world impact, challenges faced, and cross-functional collaboration experience. The conversation emphasized performance optimization projects, specifically on:

• Identifying bottlenecks in existing systems
• Measuring improvements with concrete metrics
• Trade-offs made during implementation

A system design discussion covered frontend architecture patterns and modularization, including the pros and cons of large versus small modules. The evaluation criteria centered on the depth of real-world experience, ability to quantify impact, and clarity in explaining technical decisions.

Round 3: JavaScript Round

Core JavaScript fundamentals were tested, including:

• Execution context
• Event loop mechanisms
• Asynchronous programming concepts

Round 4: Machine Coding Round

Practical implementation challenges requiring the candidate to build real-world UI components.

Round 5: Hiring Manager Round

Behavioral questions covering:

• Past project deep-dives
• Alignment with Razorpay's engineering culture
• Team collaboration and leadership scenarios

Outcome: The candidate was rejected after completing Round 3.

Technical Rounds

Project Deep Dive + Technical Discussion

The interviewers sought evidence of hands-on performance optimization experience. Candidates should be prepared to discuss:

• Specific bottlenecks identified in production systems