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Full Stack React Application Developer

techcarrot · Noida

📅 14/08/2026
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React Frontend Development (Primary Focus) Architect, build, and maintain complex React applications dashboards, analytics platforms, internal tools, and customer-facing products Develop responsive, mobile-first UIs optimized for tablet (iPad) and desktop with pixel-perfect execution Build rich data visualizations using D3.js, Recharts, Chart.js, or custom SVG/Canvas components Implement advanced state management patterns using Redux Toolkit, Zustand, React Query, or Context API Create reusable, well-documented component libraries with design system integration (Tailwind CSS, Styled Components, or CSS Modules) Optimize frontend performance: code splitting, lazy loading, memoisation, virtual scrolling, bundle analysis Write comprehensive tests using Jest, React Testing Library, and Cypress for E2E testing Implement real-time features using WebSockets, Server-Sent Events, or polling strategies API Design & Backend Development Design and build RESTful APIs using Node.js (Express/Fastify) or Python (FastAPI/Flask) following OpenAPI specifications Develop GraphQL APIs where appropriate for complex data querying needs Implement authentication and authorization (OAuth 2.0, JWT, RBAC) for secure API access Build middleware for logging, rate limiting, caching, error handling, and request validation Design database schemas and write efficient queries (PostgreSQL, MongoDB, or similar) Implement API versioning, pagination, filtering, and search capabilities Build and maintain microservices or serverless functions (Azure Functions / AWS Lambda) Create API documentation using Swagger/OpenAPI and maintain developer-facing docs Integration & Data Layer Integrate frontend applications with data platforms (Databricks, data warehouses, data lakes) through API layers Build data ingestion endpoints that accept, validate, transform, and store incoming data Work with data engineers to consume curated datasets and serve them through optimized APIs Implement caching strategies (Redis, CDN, browser cache) for high-performance data delivery Connect to third-party services and APIs (payment gateways, CRM, loyalty platforms, analytics tools) AI / LLM Integration Build conversational AI interfaces (chatbots, knowledge agents) using LLM APIs (OpenAI, Anthropic, Azure OpenAI) Implement RAG (Retrieval-Augmented Generation) patterns for document Q&A and contextual search Create prompt engineering frameworks and manage AI response streaming in React UIs DevOps & Delivery Set up and maintain CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab CI) Containerize applications with Docker and deploy to Kubernetes or cloud-managed services Implement monitoring, alerting, and observability (Datadog, New Relic, or Application Insights) Conduct code reviews, mentor junior developers, and drive engineering best practices Requirements Must have skills 57 years of professional full stack development experience in a product engineering environment Expert-level React.js (4 years): hooks, context, suspense, server components, performance patterns Strong TypeScript proficiency type-safe component development, generics, utility types Production experience building and consuming REST APIs (Node.js with Express/Fastify or Python with FastAPI) Solid database skills: PostgreSQL or MySQL (schema design, indexing, query optimization) and/or MongoDB Experience with modern CSS: Tailwind CSS, CSS Modules, or Styled Components for scalable styling Proficiency with Git, branching strategies, PR workflows, and collaborative development Experience with cloud platforms: Azure (preferred) or AWS app hosting, serverless, storage, CDN Strong understanding of web security: CORS, XSS, CSRF, CSP, authentication flows Experience with Docker containerization and basic Kubernetes or cloud-managed container services Familiarity with Agile/Scrum and working in cross-functional, distributed teams Good To Have Skills Experience with Next.js (App Router, SSR, ISR, API routes) or Remix GraphQL development experience (Apollo Server/Client or similar) Data visualization expertise: D3.js, Recharts, Plotly, custom charting Experience integrating with LLM/AI APIs and building AI-powered features Knowledge of Databricks, Apache Spark, or data lake/warehouse concepts Experience with real-time systems: WebSockets, Kafka consumers, event-driven architecture Familiarity with design tools (Figma) and design-to-code workflows Understanding of retail / e-commerce domain (POS, loyalty, customer analytics) Experience with Storybook for component documentation and visual testing Knowledge of accessibility standards (WCAG) and internationalization (i18n) Education Bachelors or Masters degree in Computer Science, Information Technology, or related field Relevant certifications are a plus: AWS/Azure Developer, Meta React .
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