Frontend Engineer Interview Experience @Razorpay

Overview

Razorpay's frontend engineering team plays a crucial role in building user-friendly and responsive interfaces for their suite of products. This document outlines the interview process for a Frontend Engineer role at Razorpay, emphasizing the skills and qualities the company seeks in its candidates. The role focuses on developing scalable and performant user interfaces utilizing modern frameworks such as React, Vue.js, or Angular. A strong emphasis is placed on coding fundamentals, problem-solving abilities, and the creation of seamless, user-centric designs.

Interview Rounds

The interview process consists of four rounds designed to assess the candidate's technical skills, problem-solving abilities, and cultural fit.

Round 1: Online Coding Assessment (90 minutes)

This round, conducted on HackerRank, evaluates the candidate's proficiency in algorithms, data structures, and SQL. The assessment includes:

• DSA Questions:
  • Find the first unique character in a string. The candidate employed a hashmap to efficiently store character frequencies, enabling a single-pass identification of the first unique character.
  • Merge overlapping intervals. The candidate sorted intervals by start time and iteratively merged overlapping ranges.
  • Optimize a sliding window for maximum subarray sum. The candidate utilized a dynamic programming approach similar to Kadane's algorithm.
• SQL Questions:
  • Query for the top 3 products by sales in each category.
  • Find customers with no transactions in the past 6 months.

The candidate demonstrated strong SQL knowledge and efficient problem-solving skills, resulting in a favorable score.

Round 2: Technical Interview I (90 minutes)

This round emphasizes JavaScript fundamentals and frontend problem-solving skills.

• Tasks:

  • Build a debounce function. The candidate effectively explained the use case for debouncing, particularly in search input optimization, and implemented a clean debounce function using closures.

  • Optimize a React component rendering large data. The candidate discussed techniques such as pagination, virtualization (using React-Window), and memoization to prevent unnecessary re-renders and improve performance.

  • Debug a piece of broken React code:

    const [count, setCount] = useState();
    useEffect(() => {
      if (count > 10)
        console.log("High count!");
    }, []);