Backend Engineer

Scribe•San Francisco, CA

1d•$140,000 - $185,000•Hybrid

About The Position

Scribe is where exceptional people come to do the best work of their careers. Our Workflow AI platform automatically captures and optimizes how work gets done – 94% of the Fortune 500 use it, and 45% are paying customers. We hit $100M ARR in May 2026 and have grown to over 5 million daily active users across 600,000 businesses. We're Series C and valued at $1.3 billion. We're builders who hold a high bar, move fast, and care deeply about each other and our customers. We're looking for a Backend Software Engineer to join our Core Engineering team, which powers the document workflows millions of people rely on every day: viewing, editing, embedding, and exporting content, along with the integrations that connect Scribe to the rest of a customer's stack. You'll ship well-scoped backend work across these core systems, building technical judgment alongside an experienced team while contributing to both existing product surfaces and new, greenfield projects.

Requirements

3+ years of experience building backend applications
Solid experience with Python
Can optimize endpoint performance and database queries in code you own
Strong advocate for automated testing
Familiar with engineering best practices and eager to deepen them
User-centric, empathetic, and passionate about your work

Nice To Haves

Experience with Django (not required, but a big plus)
Startup experience (not required, but we build and move fast!)

Responsibilities

Build and ship backend features in our Django monolith, spanning core document workflows (viewing, editing, embeds, exports) as well as new greenfield projects that expand what Scribe can do
Improve performance and reliability by optimizing database queries, endpoints, and caching layers in well-scoped areas
Collaborate with product managers, designers, and frontend engineers to deliver intuitive and reliable experiences at scale
Incorporate feedback from teammates to continuously grow your craft
Write thoughtful code reviews, solid tests, and pay attention to observability and performance in your work