Senior Fullstack Engineer

About The Position

Archive is hiring a Senior Fullstack Engineer. This is a hands-on, high-autonomy role on a small, meeting-light team that operates without a traditional product manager. You'll own features end to end, ship quickly, and help set the bar for how we build in an AI-native world. Our day-to-day engineering workflow is AI-first: we build with tools like Claude and Devin as a normal part of how we work. You don't need to have worked in a fully AI-native environment before; what matters is genuine enthusiasm for building with AI and the judgment to use it well.

Requirements

A strong track record as a fullstack engineer with production experience across frontend and backend services, comfortable owning a feature end to end
An AI-first dev workflow: you are ready and excited to build, review, and debug with AI coding tools and agents as a default, and can show how it makes you faster—and where you choose not to rely on it
Bias towards action in a fast-moving, small-team environment: you ship, iterate, and take ownership without a heavy playbook
Solid debugging and systems judgment: you can reason about an unfamiliar system and find the real problem
Comfort with systems design and reasoning about scale, reliability, and trade-offs

Nice To Haves

familiarity with our stack (Next.js / React / TypeScript / Node / GraphQL / Postgres)
multi-tenant platform experience

Responsibilities

Build across the stack
Own fullstack features end-to-end, from design through release through maintenance, across a modern stack; true comfort on the backend is key
Develop and maintain robust integrations (payments, gift cards, and beyond), building reliable, production-quality systems
Take real ownership in a flexible, fast-evolving environment with light process and no traditional Product Manager
Collaborate cross-functionally to turn needs into shipped outcomes
Share in the engineering on-call rotation (incident response and support)
Debug production issues across multiple levels of the stack
Make pragmatic architecture and system design calls, balancing speed, scale, reliability, and maintainability
Use AI tools like Claude as a force multiplier across your workflows, with good judgment about where to trust them and where not to
Help the team level up its AI-native development practices and set the bar for how we build in an AI-default world