Frontend Engineer jobs in New York, NY

You will build and maintain scalable web applications, interactive charts, and real-time visualizations for a retail trading platform. Additionally, you will optimize application performance and integrate REST APIs and WebSocket streams while collaborating with design and backend teams.

You will design and build intuitive interfaces for complex access control and authorization systems, ensuring precise security across the platform. You will partner with product, design, and engineering teams to define workflows and make technical tradeoffs for a scalable frontend architecture.

Interns will collaborate with traders and developers to design and implement real-time trading, visualization, and reporting tools. They will work on challenging development projects to improve the scalability, performance, and efficiency of trading systems.

Design and develop intuitive graphical user interfaces for AI agents, including conversational and multimodal interactions. Build interactive dashboards and client-facing applications that integrate with backend services, LLMs, and enterprise systems.

You will build and evolve shared components and patterns for Mercury's design system using React and TypeScript. You will collaborate with designers and engineers to ensure high-quality, accessible, and consistent user interfaces across the product.

You will architect and maintain high-performance, event-driven microservices and cloud infrastructure while leading the delivery of complex technical projects. Additionally, you will act as a subject matter expert, mentor engineering peers, and integrate intelligent automation into the platform.

You will lead the design and delivery of complex frontend technical projects and subsystems across the platform. Additionally, you will integrate AI models and automation patterns while mentoring team members to ensure engineering excellence.

You will lead the technical direction and operational strategy for Nscale's front-end AI infrastructure networks, ensuring high performance and scalability. This includes designing large-scale Ethernet fabrics, acting as a senior escalation point for complex incidents, and mentoring engineering teams.

Own the operational health, configuration consistency, and performance of large-scale Ethernet front-end networks supporting AI inference, management, and storage workloads. Lead complex incident response and postmortems, improve automation and monitoring with SRE and engineering teams, and tune network performance and reliability.

Lead technical direction and operational improvements for large-scale front-end AI infrastructure networks, including Ethernet fabric architecture, reliability, performance, and operational standards. Resolve complex incidents, drive cross-team network initiatives, influence system design, and mentor engineers.