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    Job · 21857934

    Chegg logo

    Software Engineer 2

    Chegg · Remote · remote · Posted 8d ago

    Undisclosed4–5 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role


    Position: Software Engineer II, Frontend
    Base Location: New Delhi, India (Remote / Hybrid)
    Experience: 4+ years


    About the Engineering Team
    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.


    About the Role
    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.
    What You'll Do
    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.


    Required Qualifications
    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.
    Preferred Qualifications



    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.
    Tech Stack
    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)


    Sourced from naukri

    Skills

    GraphQLRetrieval Augmented GenerationNext.jsamazon web servicesKotlinNode.JsReact.JsJava

    About Chegg

    Chegg logo

    Chegg

    EdTech

    820

    employees

    2005

    21 years old

    Santa Clara,California

    United States

    About

    Chegg is a student-focused learning platform aimed at making higher education more accessible and affordable, improving overall student success.

    Industries

    EdTechInternetEducation & Training

    Employee ratings

    1,610 reviews

    4.1/ 5

    Culture

    4.0

    Career growth

    3.4

    Work-life

    4.3

    Employees rate it well for

    Salary186Work Life Balance134Working Hours/shift93Learning91Work Culture83

    Find them on

    WebsiteLinkedInAmbitionBox reviews

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