The Senior Full Stack Engineer will be working on a custom community platform built for personal development, coaching, courses, community forums, and daily engagement. The product is currently in private beta. This is an opportunity to join at an important stage. There is already a substantial product and codebase, but meaningful engineering work remains before it is taken public. You'll initially work closely with the engineer who designed and built the platform, while progressively taking greater responsibility for its architecture, production readiness, and technical operations. Responsibilities: Assess the existing production codebase for security vulnerabilities, scalability and performance bottlenecks, architecture risks, data protection concerns, and reliability issues, then prioritize and implement pragmatic improvements required for a safe, stable public launch. Take increasing ownership of the overall technical health and architecture of the platform, ultimately becoming the internal technical owner responsible for its stability, security, scalability, reliability, and continued evolution. Own features end to end, from data modeling and architecture through implementation, testing, deployment, monitoring, and production support. Work across the full stack with a strong backend focus, while remaining hands on with Vue.js frontend development and contributing to a polished customer experience. Serve as the internal technical counterpart to outside engineering partners, reviewing architecture and code, challenging technical decisions when appropriate, validating deliverables, and ensuring work meets product, security, scalability, and production requirements. Partner with the existing platform engineer on technical knowledge transfer, including architecture, codebase knowledge, environments, infrastructure, accounts, deployment processes, documentation, and operational procedures. Own production readiness and technical operations, including monitoring, troubleshooting, incident response, release readiness, technical QA, and escalation of production issues. Design, automate, and execute rigorous functional, regression, load, and smoke testing. Identify and communicate technical risks early while distinguishing genuine engineering concerns from personal preferences. Design and evolve relational data models, PostgreSQL schemas, queries, indexes, migrations, and Prisma models, with a strong understanding of relational database design and performance. Work across integrations such as Stripe Connect, LiveKit, Twilio, Zoom, Anthropic, and pgvector. Use AI coding agents to accelerate development while maintaining high standards for correctness, reliability, security, and maintainability. Ideally contribute to the platform's production AI architecture, including LLM integrations, RAG, agents, context management, retrieval, evaluation, and production reliability.