AWS MERN Stack Developer
Deep TypeScript.
• React — hooks, Suspense, and modern patterns; comfortable with Server Components.
• Next.js App Router — server vs client components, layouts, route handlers, middleware.
• One UI system deeply MUI and/or Tailwind CSS + shadcn/ui.
• Redux Toolkit (or equivalent modern state management).
• NextAuth with OIDC (Wiley CONNECT and/or Azure AD) sessions, protected routes, role-aware UI.
• REST API consumption with typed clients — retries, error boundaries, empty and loading states
• React — hooks, Suspense, and modern patterns; comfortable with Server Components.
• Next.js App Router — server vs client components, layouts, route handlers, middleware.
• One UI system deeply MUI and/or Tailwind CSS + shadcn/ui.
• Redux Toolkit (or equivalent modern state management).
• NextAuth with OIDC (Wiley CONNECT and/or Azure AD) sessions, protected routes, role-aware UI.
• REST API consumption with typed clients — retries, error boundaries, empty and loading states
Lexical, Yjs, or ProseMirror — rich text and collaborative editing.
• Apollo GraphQL at platform depth.
• Prisma basics (P3+); deeper data-layer work at platform depth (P4).
• Cloudflare Workers and edge design.
• Terragrunt / Atlantis literacy for FE work that needs new AWS resources (P4).
• LangChain and simple agentic workflow familiarity — valued for thin orchestration and for operating / troubleshooting
partner-built agents.
• Langfuse and / or LangSmith (or similar) — observing traces and generations to separate agent/LLM behaviour from
frontend issues during incidents.
• Prior QA / QE role or significant test-infrastructure work.
• Design-tool fluency (Figma) and comfort working directly from mocks with product designers.
• Apollo GraphQL at platform depth.
• Prisma basics (P3+); deeper data-layer work at platform depth (P4).
• Cloudflare Workers and edge design.
• Terragrunt / Atlantis literacy for FE work that needs new AWS resources (P4).
• LangChain and simple agentic workflow familiarity — valued for thin orchestration and for operating / troubleshooting
partner-built agents.
• Langfuse and / or LangSmith (or similar) — observing traces and generations to separate agent/LLM behaviour from
frontend issues during incidents.
• Prior QA / QE role or significant test-infrastructure work.
• Design-tool fluency (Figma) and comfort working directly from mocks with product designers.