Web Application Developer

3 weeks ago

Bengaluru, India Landmark Group Full time

Responsibilities: Design, develop, and maintain scalable, high-performance web applications using JavaScript, React.Js, and modern frontend frameworks.Implement reusable, modular, and responsive UI components aligned with UX, accessibility, and performance standards.Collaborate with Product, Design, and Backend teams to take features from concept to production with complete ownership.Track and optimize engineering metrics and KPIs, ensuring performance, stability, and scalability.Integrate AI-driven capabilities into frontend workflows (e.G., personalization, intelligent testing, or automation).Implement unit, integration, and E2E testing using frameworks like Jest, Mocha, Cypress, Karma, or Playwright.Conduct code reviews and maintain best practices across the frontend codebase.Monitor, debug, and optimize applications for performance and scalability.Stay ahead of emerging technologies and advocate their adoption where valuable.Skills and Qualifications:Bachelor’s degree in Computer Science, IT, or related technical field.5+ years of hands-on JavaScript development experienceStrong proficiency in JavaScript (ES6+), React.Js, and TypeScript, with a deep understanding of component-based architecture.Solid experience in HTML5, CSS3, and modern UI libraries such as Material UI, Ant Design, or Chakra UI.Strong knowledge of state management tools such as Redux, Context API, or MobX.Proficient in frontend testing frameworks and tools – Jest, Mocha, Cypress, Karma, or Playwright.Familiarity with Node.Js for backend integration, API consumption, or server-side rendering (SSR).Knowledge of PWA (Progressive Web App) concepts and implementation.Basic exposure to Java / Spring Boot for backend collaboration.Experience with CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps) and Git version control.Understanding of cloud platforms (Azure, AWS, or GCP) for deployment and scalability.Strong grasp of web performance optimization, caching strategies, and observability tools such as Lighthouse, Sentry, or Datadog.Awareness of AI/ML integration in frontend development, including AI-assisted coding, testing, and analytics.

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