$ cat jobs/full-stack-engineer-enterprise-scale-scribe-f05d6078139f.json
Full-Stack Engineer, Enterprise Scale
ABOUT SCRIBE Scribe is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to own their specialized intelligence: the unique way their teams work, decide, and get things done. Our Specialized Intelligence platform automatically captures how work happens and turns it into a living asset that helps people and AI agents do their best work. We're growing fast, since our founding in 2019, we've grown to 7 million users across 600,000 businesses. Based in San Francisco, we've been named a LinkedIn Top Startup, are valued at over $1 billion, and are backed by leading investors. Join us in our mission to transform how people do work. 📌 ABOUT THE ROLE We're looking for a Full Stack Engineer to join our Enterprise Scale team, which owns the stability of Scribe's core functionality across a wide range of technologies. You'll bring curiosity and cross-functional collaboration to a team that works closely with fellow engineers and user advocates to shape the overall platform experience. 🛠️ WHAT YOU'LL DO - Own the stability and reliability of Scribe's core platform functionality - Build and ship full stack features across our Django backend and NextJS frontend - Collaborate with engineers and user advocates to improve the overall platform experience - Write automated tests and advocate for testing practices across the team - Work across the stack, from PostgreSQL and Redis to background processing with Celery 🔍 WHAT WE'RE LOOKING FOR - You have 3+ years of engineering experience - You're comfortable working with both Django and relational databases - You're comfortable working with React (NextJS / TypeScript) - You're a strong advocate for automated testing - You've seen and can implement engineering best practices ✨ NICE TO HAVE - Experience with enterprise features such as SSO/SAML, SCIM provisioning, RBAC, or audit logs - Experience with Celery for executing and scheduling background tasks - Experience with high-l
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