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Chegg is hiring a Software Engineer II, Frontend in New Delhi (Remote / Hybrid). You will own frontend features across our student-facing web applications, primarily building in React/Next.js and GraphQL, with modern state management and testing in mind.
This role focuses on quality, security, and performance, and you’ll contribute to AI-powered study features, collaborate with Product, Design, and Backend, and ramp into backend concepts as needed.
Software Engineer II, Frontend
Base Location: New Delhi, India (Remote / Hybrid)
Experience: 4+ years
Cheggs engineering team is a community of passionate builders who partner closely with
product managers, designers, and fellow engineers to shape the future of online learning.
Grounded in Cheggs core valuesputting students first, acting with integrity, and holding
a high bar for excellencewe build with care and accountability. As the world and our
industry continue to evolve, we stay true to those principles: we invest in quality, design for
scale and longevity, and avoid shortcuts (hello unit tests and documentation) so we can deliver
reliable, high-impact experiences on time.
We're hiring a Software Engineer II, Frontend to own the design, quality, and delivery of features
across our student-facing web applications. This role is focused on building React/Next.js
product experiences, the GraphQL-powered data layers behind them, and increasingly,
AI-powered study features (step-by-step solutions, Q&A, and personalized study assistance).
You will also contribute across the stack as needed this is a frontend-first role with full-stack
reach, and you should be comfortable enough with backend concepts and AWS infrastructure to
ramp into our Java or Python backend services when a task calls for it.
Own frontend features end-to-end architecture, implementation, testing, staged
rollout, and production monitoring across student-facing web application.
Translate product requirements into component architecture, GraphQL query/schema
boundaries, and client-state contracts (React Query, Redux Toolkit, or similar) that other
engineers build on.
Debug cross-system issues that surface in the UI GraphQL supergraph errors,
auth/session edge cases, server/client rendering mismatches by tracing root cause
across the stack.
Build AI-powered study features responsibly: validate model output (e.g., step-by-step
solutions, Q&A answers) before it reaches the UI, design graceful fallbacks for unusable
or low-confidence responses, and instrument these flows with telemetry.
Apply security and data-protection practices input validation, secure auth/session
handling, careful treatment of student data as a default part of the code you ship, not
a step someone else checks for.
Optimize application performance (rendering strategy, bundle size, Core Web Vitals) as
an ongoing part of feature work, particularly for high-traffic student study flows.
Own the quality of your changes through automated tests (unit, component, and
end-to-end), CI stability, and production validation.
Partner closely with Product, Design, and Backend to deliver and harden high-impact
student workflows (search, Q&A, subscription/paywall flows, study tools).
Contribute to engineering quality through strong code reviews including review of
AI-generated code reusable patterns, shared components, and clear documentation
that keeps technical debt low.
Ship end-to-end changes across the web application and its supporting APIs/schema, as
needed.
Most qualified candidates will likely bring 4+ years of professional frontend engineering
experience building production web applications, with demonstrated ownership of
features from design through launch.
Strong hands-on experience with React and Next.js, and comfort working in TypeScript.
Working knowledge of web fundamentals common security pitfalls (XSS, CSRF,
auth/session handling), performance (rendering strategy, bundle size, Core Web Vitals),
and accessibility (WCAG/ARIA basics) and the judgment to apply them without being
told to.
Experience designing and consuming APIs across common paradigms GraphQL
(schema design, codegen, querying), REST, and real-time protocols such as
WebSockets and working with at least one modern client-state approach (React
Query, Redux Toolkit, or similar).
Strong testing and release-validation discipline unit/component testing (Vitest or Jest,
React Testing Library) and end-to-end testing (Playwright or Cypress).
Comfort using AI-assisted development tools responsibly, with the ability to explain,
validate, and safely ship the code you produce.
Sound understanding of data structures, algorithms, and general software design
principles, applied pragmatically rather than academically.
Working knowledge of AWS infrastructure concepts (compute, storage, networking,
basic service architecture) and some Node.js backend exposure enough of a
foundation to ramp into our Java or Python backend services when needed.
Experience with Auth0 or similar authentication providers in a Next.js application.
Experience shipping AI-powered UI streaming responses, structured output
rendering, graceful handling of model failures. Experience contributing to shared
component libraries or tooling used across multiple teams/repos.
Familiarity with frontend observability tooling (New Relic or similar).
Experience in EdTech, e-commerce, or another high-traffic, subscription-based
consumer product company.
Frontend: React (18/19), Next.js, TypeScript, GraphQL (Apollo tooling, codegen against
a shared supergraph), React Query / Redux Toolkit / Zustand, styled-components, MUI
Backend (foundational): Node.js, AWS (compute/storage/networking basics)
enough to ramp into Kotlin/Java (Spring) or Python (FastAPI/Django) services owned by
backend engineering
Testing: Vitest, React Testing Library, Playwright
Auth / Delivery: Auth0, GitLab CI
Observability: New Relic
AI / ML: OpenAI, RAG, MCP, AWS Bedrock (via shared backend integrations)