Full-Stack Developer - Next.js & Python

Full-Stack Developer – Next.js & Python Position Type: Full-Time, Remote Working Hours: U.S Business Hours About the Role We are looking for an experienced Full-Stack Developer to build and maintain production web applications across a modern frontend, backend, database, and cloud stack. This is a hands-on development role for someone who can own a slice of the product across both UI and API. You’ll work with Next.js, React, TypeScript, Python, FastAPI, relational and graph databases, multi-service architecture, real-time functionality, and Azure infrastructure. What You’ll Own Frontend Development - Build production web applications using Next.js 16 with App Router, React 19, and strict TypeScript. - Work with server/client boundaries and data-fetching using TanStack Query or equivalent. - Build interfaces using Tailwind CSS v4, shadcn/ui + Radix, Zustand, React Hook Form + Zod, and AG Grid Enterprise. - Work with Framer Motion and Socket.IO. - Write frontend tests using Vitest + Testing Library. - Build end-to-end tests using Playwright. Backend Development - Build and maintain backend services using Python 3.13 and FastAPI. - Work with Pydantic v2, SQLAlchemy 2 / SQLModel, Alembic, Celery, Redis, and uv. - Work with typed schemas, async I/O, authentication, and background jobs. - Work within a multi-service codebase using HTTP between services, Redis, and workers. Database & Data - Work with relational modeling and migrations using SQLAlchemy/Alembic or equivalent. - Work with Azure SQL (MSSQL) and PostgreSQL. - Work with Neo4j for family / heirship graphs. - Work with PostgreSQL + pgvector. - Work with MongoDB for logs. Cloud & Operations - Work with Azure services including Blob, Identity, Key Vault, SQL, and Container Registry. - Work with Docker Compose. - Work with Prometheus / Grafana. - Work with pnpm workspaces + Turborepo. Advanced Features & Integrations - Work with graph databases or non-trivial graph UIs such as trees, canvases, XYFlow/D3/canvas. - Work with complex data UIs including AG Grid, maps, PDF viewers, and rich text using Tiptap. - Work with real-time technologies such as Socket.IO / WebRTC or telephony platforms such as Telnyx or similar. - Work with LLM/RAG features including embeddings, pgvector, and tool-using assistants. - Work with chatbot services; you do not need to be an ML engineer. Required Experience & Skills - 6+ years shipping production web apps. - 3+ years as the person who owns a slice across UI and API. - Strong TypeScript and React experience. - Comfortable with App Router, server/client boundaries, and data-fetching using TanStack Query or equivalent. - Strong Python and FastAPI experience, or Django/Flask at a similar depth. - Experience with typed schemas, async I/O, authentication, and background jobs. - Strong relational modeling and migration experience using SQLAlchemy/Alembic or equivalent. - Experience with MSSQL or PostgreSQL. - Experience in a multi-service codebase with HTTP between services, Redis, and workers, not only a single monolith. - Tests as a habit: unit/integration on the backend and component tests on the frontend. - Clear written communication. - Ability to leave the next engineer a module they can change without a walkthrough. Strongly Preferred - Graph databases such as Neo4j or non-trivial graph UI using trees, canvases, XYFlow/D3/canvas. - Azure experience with SQL, Blob, Key Vault, or a comparable cloud. - Experience with complex data UIs such as AG Grid, maps, PDF viewers, or rich text using Tiptap. - Real-time experience with Socket.IO / WebRTC or telephony with Telnyx or similar. - LLM/RAG experience including embeddings, pgvector, and tool-using assistants. Nice-to-Haves We Actually Use - WebRTC calling. - DocuSign / PKCS#7 signing. - GEDCOM. - Google Maps. - Campaign/inbox graph models. - Prometheus metrics. What Makes You a Strong Fit - You have extensive experience shipping production web applications and owning a slice across both UI and API. - You’re comfortable working across TypeScript/React and Python/FastAPI. - You can confidently reason about relational modeling, migrations, and multi-service architecture. - You’re comfortable working with Redis, workers, and HTTP communication between services. - You treat testing as part of development rather than something to add later. - You communicate clearly in writing. - You leave the next engineer with a module they can change without a walkthrough. What Success Looks Like - You can independently own a slice of the product across UI and API. - Production features are supported by appropriate backend and frontend tests. - Relational models and migrations are reliable and maintainable. - Multi-service communication, Redis, and workers operate effectively. - Complex data UIs and graph-based functionality are implemented effectively where required. - Real-time, cloud, and third-party integrations work reliably. - Your code is clear enough for the next engineer to understand and modify without a walkthrough. Tech Stack Frontend - Next.js 16 (App Router) - React 19 - TypeScript (strict) - Tailwind CSS v4 - shadcn/ui + Radix - TanStack Query - Zustand - React Hook Form + Zod - AG Grid Enterprise - Framer Motion - Socket.IO - Vitest + Testing Library - Playwright Backend - Python 3.13 - FastAPI - Pydantic v2 - SQLAlchemy 2 / SQLModel - Alembic - Celery - Redis - uv Data - Azure SQL (MSSQL) - Neo4j (family / heirship graphs) - PostgreSQL + pgvector - MongoDB (logs) Cloud & Operations - Azure (Blob, Identity, Key Vault, SQL, Container Registry) - Docker Compose - Prometheus / Grafana - pnpm workspaces + Turborepo Interview Process - Recruiter Screening - Client Interview - Final Selection