Job Role: Senior Frontend Engineer | FRM Compliance Tech
Duration: 6 months
Location: SFO, CA, USA (Hybrid)
Keywords: WebSockets, gRPC-web, Low-latency UI, 60fps performance.
The Mission
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.
The Role: Architecting at the Speed of AI
You will own the frontend lifecycle for our compliance tools. This means moving fluidly between Figma designs, Lovable prototypes, and a production-grade React codebase, using Cursor to maintain high standards of code quality and system architecture.
Key Responsibilities
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.
Required Qualifications
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 (Uber’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: Base UI design system, Styletron (CSS-in-JS), Figma, Tailwind CSS, Storybook.
Testing: Jest, React Testing Library, Playwright.