Python Developer (FastAPI / Celery / Docker), Async, Ongoing

I run a suite of 19+ Python-based tools for YouTube content creation and AI-powered video automation. I need a mid-to-senior Python developer who can work independently, async, and ship production-quality code with minimal oversight. This is not a one-off project. I'm looking for an ongoing collaborator who can own features end-to-end: read a brief, build the thing, write clean code, and push it. What You'll Work On: - Building and maintaining FastAPI services with SQLAlchemy ORM and Celery task queues - Integrating third-party APIs (YouTube Data API, Anthropic Claude API, webhooks, etc.) - Bug fixing, debugging, and improving existing automation pipelines - Writing Dockerized services that run reliably in production - Working with Redis-backed Celery workers for background processing Required Stack: - Python 3.11+ (strong fundamentals, not just scripting) - FastAPI (routing, dependency injection, Pydantic models) - SQLAlchemy (models, migrations, query optimization) - Celery + Redis (task queues, retries, scheduling) - Docker and Docker Compose - Git/GitHub (clean commit history, PRs) Required Working Style: - Fully async and remote, no scheduled meetings unless necessary - Communicate primarily via Discord/WhatsApp - Must use Claude Code as part of your workflow, this is non-negotiable - English fluency required Strong Pluses: - Experience with Anthropic Claude API or other LLM API integrations - Familiarity with AI-assisted development workflows (Claude Code, Cursor, Copilot, etc.) - YouTube Data API experience - Experience building webhook systems with retry logic How to Apply: Answer the screening questions. Generic cover letters will be ignored. If your application looks like it was copy-pasted to 50 jobs, I'll skip it. Strong candidates will be invited to a short timed technical assessment (approximately 90 minutes, screen-recorded) before being hired. The assessment tests real-world skills directly relevant to this role.