Frontend Engineer

The Financial Risk Management (FRM) team ensures the integrity of our platform through real-time monitoring and complex data visualization. We are looking for a high-velocity Frontend Engineer who embraces the future of software engineering. You aren't just a "coder"; you are a product architect who leverages AI development tools and low-code prototypes to deliver enterprise-grade interfaces at record speed., AI-Driven Development: Lead the team in leveraging Cursor and GitHub Copilot to accelerate feature delivery, refactoring legacy code, and automating boilerplate.

Figma-to-Product Execution: Translate high-fidelity Figma designs into pixel-perfect React components. You should be adept at using AI-assisted tools to bridge the gap between design and "clean" production code.

Rapid Prototyping: Utilize Lovable or v0.dev to quickly iterate on internal tools and dashboards, then "harden" those prototypes into scalable, secure, and performant React architectures.

Real-Time FRM Systems: Architect low-latency features (WebSockets/gRPC-web) to handle live risk-data updates, ensuring the UI remains responsive under high data load.

State Management Mastery: Manage complex asynchronous workflows using Redux + Sagas for sophisticated side effects, while implementing TanStack Query for modern server-state synchronization.

Performance Engineering: Ensure frequent real-time updates do not trigger unnecessary re-renders, maintaining a "60fps" feel even when handling massive datasets.

7+ Years of Professional Experience: A deep background in frontend engineering with a recent pivot toward AI-augmented workflows.

AI Tooling Mastery: Proficiency with VSCode, Cursor (indexing, composer, and chat) and a "design-to-code" workflow that includes tools like Lovable.

Design Fluency: Expert-level knowledge of Figma. You understand auto-layouts, design tokens, and how to maintain UI consistency.

React & TypeScript Mastery: Deep understanding of React 19 patterns (Server Components, Hooks, Suspense) and strictly typed architectures.

Real-Time Expertise: Proven experience building dynamic dashboards (e.g., live tracking, financial tickers, or risk alerts).

Modern State Strategy: Expert implementation of TanStack Query for caching and Redux/Zustand for complex global state.

The Tech Stack

Core: React (hooks-based), TypeScript, Fusion.js (Client's Framework).

AI Tools: Cursor, Lovable, GitHub Copilot, Claude, v0.dev.

State: Redux + Sagas, TanStack Query, Zustand, Context API, hooks.

Data: WebSockets, gRPC-web, GraphQL.

Design/UI: BaseUI design system, Styletron (CSS-in-JS), Figma, Tailwind CSS, Storybook.