Manager - Frontend Engineer (Data Visualization)

As a Frontend Engineer specializing in data visualization, your primary role will be to transform complex network performance data into clear and interactive visualizations. You will play a crucial role in building observability and analytics dashboards for our platform, enabling customers to understand the health, performance, and topology of their global networks in real-time. Your passion for making data beautiful and actionable will drive the creation of compelling visual stories. Responsibilities: - Design and develop dynamic, responsive, and user-friendly observability dashboards using modern frameworks like React, Vue, or Angular. - Utilize deep expertise in libraries such as D3.js, Chart.js, or similar to create custom visualizations of complex network topologies, performance graphs, and real-time analytics. - Integrate with backend services using WebSockets to process and display high-frequency, live data streams with minimal latency for real-time data handling. - Optimize rendering performance to ensure a smooth user experience, especially when visualizing large and complex datasets. - Collaborate closely with UI/UX designers and product managers to translate data requirements into intuitive visual formats that solve customer problems. - Contribute to the frontend component library by creating modular and reusable visualization components for the platform. Qualifications: Required Qualifications: - 3+ years of frontend development experience with a strong portfolio of data visualization projects. - Proficiency in a modern JavaScript framework like React, Vue, or Angular. - Hands-on expertise in data visualization libraries such as D3.js, Chart.js, Recharts, or Highcharts. - Experience in implementing real-time data updates using technologies like WebSockets. - Strong skills in HTML5, CSS3, and JavaScript/TypeScript. - Solid understanding of data visualization theory and UI/UX design principles. Preferred Qualifications: - Experience in visualizing network topologies or graph-based data structures. - Familiarity with consuming RESTful or gRPC APIs. - Proficiency in performance profiling and optimization techniques for handling large datasets in the browser. - Knowledge of UI testing frameworks like Jest or Cypress. - Conceptual understanding of cloud computing and networking principles.,