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описание
Hawk is the leading provider of AI-supported anti-money laundering and fraud detection technology. Banks and payment providers globally are using Hawk’s powerful combination of traditional rules and explainable AI to improve the effectiveness of their AML compliance and fraud prevention by identifying more crime while maximizing efficiency by reducing false positives.
задачи
Build product features end to end in React and TypeScript, such as workflow graph editors, investigation timelines, data-heavy tables and dashboards that make agentic AI output understandable for analysts.
Develop and maintain Module Federation remotes, keep remote/host contracts stable, and make sure features fit into both the Investigation Agent and the MUI-based Case Manager.
Contribute to our shared shadcn/ui + Tailwind component library (documented in Storybook), and consume our Python/FastAPI backends through OpenAPI-generated clients with TanStack Query and Router.
Work in a pnpm + Turborepo monorepo with GitHub Actions CI, Vitest and Playwright tests, and deployments to AWS including per-PR preview environments.
Work closely with Product, UX, backend engineers and Data Science, and use AI coding tools such as Claude Code or Cursor as part of your everyday workflow.
требования
3–5 years building and maintaining production React applications, with strong TypeScript and modern React skills (hooks, composition, performance, complex state and forms).
Clean frontend architecture: you structure code around features and clear boundaries. You keep UI components presentational and reusable, put data fetching and business logic in hooks and typed API layers, and keep server state separate from local UI state. You prefer composition, small focused components and strict typing, and you treat cross-module contracts as an API.
Design-system experience: hands-on work with a component-library approach, ideally shadcn/ui, Radix and Tailwind.
Microfrontends and delivery: Module Federation or similar runtime composition, shared dependencies and host/remote contracts, plus the build and deployment basics behind them: Vite, monorepos (pnpm workspaces, Turborepo or Nx), CI pipelines (GitHub Actions)
Comfort with ambiguity: you're happy working on problems that aren't fully defined yet. You ask the right questions, make sensible assumptions, build a first version and refine it with Product and UX, without waiting for a perfect spec.
AI tooling: daily, practical use of AI coding assistants (Claude Code, Cursor, Copilot, etc.).
Communication: clear communication in English, and the ability to explain technical decisions to both technical and non-technical colleagues.
Будет плюсом: Familiarity with Material UI is a strong plus; Some Python: enough to read a FastAPI endpoint or Pydantic model, run the backend locally, trace a bug across the API boundary, or open a small backend PR. You don't need to be a backend engineer; Infrastructure as code: exposure to Terraform or AWS CDK; Quality tooling: Storybook-driven development, visual regression testing or accessibility testing; Auth: Auth0/OIDC integration in single-page apps; Domain interest: UX for AI products, or previous work in fintech, RegTech or compliance
