Full Stack Engineer

Pipsy

Remote · Full-time · LF1M Engineer --- Node main, React offspec --- link your GitHub --- PST

Salary

Based on experience with stack - $100-120k + benefits

Who we are

Pipsy is a SaaS platform for land developers and homebuilders. They build neighborhoods; we keep track of the lots, the sales, the maps, and the numbers so nobody has to maintain a spreadsheet with forty-one tabs. It works well. We'd like it to do more, which is where you come in.

We're small, growing like crazy, and more communities run on Pipsy every month. We're hiring another engineer to build what's next.

What you'd actually do

You'd work alongside our engineering team and the founder. Day to day:

• Build and maintain features across our Node.js backend and React front end
• Work on our GraphQL API
• Wire up integrations with third-party APIs and partner data feeds, moving data cleanly in and out
• Build on our Mapbox GL JS mapping applications
• Keep the infrastructure running: AWS, deploys, and the occasional server that has developed opinions
• Review pull requests, including the ones that say "small change, should be safe"

On a team this size you'll touch most of the stack. We consider that a feature, not a bug.

Our stack

• Backend: Node.js, GraphQL
• Frontend / maps: React, JavaScript, Mapbox GL JS
• Infra: AWS (Lightsail, S3, CloudFront)
• Tooling: Git/GitHub, GitHub Actions, Dependabot, CodeQL
• AI layer: an MCP server that lets clients query their data through AI assistants, plus a growing set of AI-powered reporting and forecasting features. And no, we're not talking about basic switch statements.

What we're looking for

• You can own work end to end --- take something from a fuzzy idea to shipped, tested, and maintained, and make sensible calls along the way without waiting for a spec. We don't count years; we care that you've actually done this.
• Comfortable with Node.js and SQL on the backend
• Strong with React and modern JavaScript
• At home in a Linux environment --- connecting to a server is not an event for you
• Self-directed. Hand you a hard problem and you run with it. If you need someone hovering to make progress, you'll be miserable here.
• You communicate clearly. "Here's what I tried, here's my plan" beats silence.

Bonus points

None of these are required, but they certainly can't hurt:

• Vector databases (Qdrant, pgvector, or similar), embeddings, RAG pipelines
• LLM tooling --- Anthropic or OpenAI APIs, function calling, agents, the MCP (Model Context Protocol) ecosystem
• Geospatial / mapping experience (Mapbox, GeoJSON, coordinate systems, GIS)
• Comfort with messy data and the patience to make it less messy
• AWS depth beyond having seen the console once
• Any time spent in proptech, real estate, or homebuilding

How we work

Engineering-first, fully remote, run by people who write code. No HR department. No artificial culture. No memos about TPS reports.

Unlimited PTO and zero clock-watching. Cut out early on a Friday if the work's done --- we're not counting hours. We care about two things: on time, and done right.

There's no degree requirement, and we have no opinion on how you learned to do the work --- only on whether you can do it. We're growing fast and people who do great work grow right along with us. What there isn't is a manager scripting your day. Some people love that kind of autonomy and some quietly hate it; this is a good thing to sort out before you apply.

How to apply

Tell us how you stack up against the requirements above, plus any bonuses you bring. A lot of good work lives in private repos - we get it - but if you've got anything public to show, send it our way.

:wq