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: 5–7 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 • Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field • Relevant certifications are a plus: AWS/Azure Developer, Meta React Certification, or similar
