Full-stack developer building and optimizing a data-intensive platform using React, Node.js, PostgreSQL, and Elasticsearch. The role involves owning features end-to-end, designing efficient APIs, and leveraging AI tools like Cursor and Claude for rapid development within a remote European team.
You'll own end-to-end features for a data-intensive platform handling 100k+ rows with instant search, real-time updates, and complex filtering. You'll work across the stack — from database queries and API design to frontend performance — with a strong focus on backend depth and execution speed.
What you'll do
Build and optimize data-heavy features using React, Node.js, PostgreSQL, and Elasticsearch — filtering, faceting, saved views, real-time updates.
Design efficient APIs and database queries (indexes, pagination, cursor-based, aggregation) to handle large-scale datasets.
Implement optimistic updates, conflict resolution, and retry queues for smooth user interactions.
Own features from requirement to production — making smart trade-offs between speed, quality, and technical debt.
Use AI tools (Cursor, Claude, Copilot) daily to accelerate development.
Continuously monitor and improve performance (query latency, rendering, scrolling FPS).
You may be a fit if you have
5+ years of full-stack experience with strong backend focus (Node.js, PostgreSQL, Elasticsearch).
Solid React/TypeScript skills (frontend is still important, but backend depth matters more).
Experience building products or features end-to-end — you've shipped things people use.
You use AI daily (Cursor, Claude, Copilot) to write, debug, and refactor code.
Founder mindset — you've built side projects, MVPs, or your own products. You take ownership, move fast, and don't wait for perfect requirements.
You understand database performance (indexes, query optimization, pagination strategies) and search (Elasticsearch).
Nice to have
Experience with real-time collaboration (WebSockets, Liveblocks).
Background in startups or building products from scratch.
Open-source contributions or public side projects.
Familiarity with feature flags, analytics (PostHog/Amplitude), and error monitoring.