Senior Front-End Developer

Overview

Job Title: Senior Frontend Developer – Fintech

Location: Bangalore, India

Company: Paywize

Employment Type: Full-Time

CTC: Up to 8,00,000 LPA

About the Role:

We’re looking for a Senior Frontend Developer to lead the development of user-facing fintech apps at Paywize. If you excel in React, Next.js, and TypeScript and have a keen eye for UI/UX, this is your opportunity to shape the digital banking experience.

What You’ll Do:

• Develop responsive, scalable interfaces with React/Next.js
• Translate Figma designs into production-grade components
• Integrate REST/GraphQL APIs in transaction-heavy UIs
• Optimize for speed, accessibility, and security
• Mentor junior developers and uphold coding standards
• Work closely with design, backend, and DevOps teams

Requirements:

• 5+ years with React, Next.js, TypeScript, and Tailwind CSS
• Experience with API integration, dashboards, tables, charts
• Knowledge of accessibility, secure auth flows, and Git
• Familiarity with Jest, RTL, performance tools, Agile teams

Preferred:

• Background in fintech, digital banking, or payments
• Experience with Framer Motion, Storybook, or Turborepo
• Knowledge of RBI/PCI compliance and secure web architecture

Job Type: Full-time

Pay: ₹400,000.00 - ₹900,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Schedule:

• Day shift

Application Question(s):

• Write a custom useDebounce and useThrottle hook in React. Then, explain how you'd optimize them to prevent unnecessary renders in a 5000-row virtualized table.?
• Create a performant infinite scroll component using React and IntersectionObserver. How would you avoid unnecessary API calls and memory leaks?
• Build a Trello-style Kanban board with drag-and-drop cards using React and react-beautiful-dnd. Optimize for performance when the board has 5000+ cards.
• Implement a virtualized list in React for rendering 100,000 items without lag. Handle scroll buffering, re-render control, and memory cleanup.
• Design a React component that uses a Trie to provide instant auto-suggestions from a list of 10,000+ words. Ensure performance on each keystroke.

Work Location: In person