Staff Backend Engineer (Docs)

· Remote

Location

Remote

Type

Full Time

Job Description

Staff Backend Engineer (Docs)

Reposted 19 Hours Ago
Be an Early Applicant
San Francisco CA USA
In-Office
205K-235K Annually
Senior level
Artificial Intelligence • Productivity • Software
Scribe helps organizations document and scale how work gets done.
The Role
As a Staff Backend Engineer you'll lead the development of backend features in a Django monolith optimize database performance and mentor other engineers.
Summary Generated by Built In

About us

Scribe is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to document and scale how work gets done. We’re growing fast — since our founding in 2019 we’ve grown to over 4 million users across 600000 businesses. Based in San Francisco we've raised $55M in funding from top-tier investors and are honored to have been named as a Forbes Next Billion Dollar Startup and LinkedIn Top Startup. Join us in our mission to uplevel how people do work.

How we work

We are builders aspiring to master our crafts. We care deeply about our teammates and want to win together. We embrace the following values:

  • Accelerate impact

  • Raise the bar

  • Make our users heroes

  • Clear is kind

  • Rapid learning machine

  • One team one dream

About this role

We’re looking for an experienced backend engineer to join our growing team as a Staff Engineer on the Documents Team. ****This team owns the most essential user experiences in Scribe — including viewing and editing Scribes managing Pages Embeds Exports and supporting key Integrations. Your work will directly impact how users create share and consume documentation helping them be more effective in their work.

You should be passionate about solving real user problems and approaching challenges with both pragmatism and elegance. This is an opportunity to collaborate closely with designers user advocates and engineers across the stack to shape the future of the Scribe product. As a Staff Engineer you’ll contribute to the design of our systems help define and elevate our engineering culture and mentor other engineers on the team.

You can expect to

  • Lead development of new features in our Django monolith focusing on the core experience of viewing and editing Scribes — including pages embeds exports and related integrations

  • Optimize database queries endpoints and caching layers to improve performance and scalability across critical user workflows

  • Collaborate with product and design to deliver intuitive reliable editing and rendering experiences at scale

  • Make architectural decisions about when to extend the monolith and when to invest in service extraction for high-scale systems

  • Set a high bar for engineering excellence through code reviews mentorship and best practices in testing observability and performance

You could be a great fit if

  • You have 8+ years of experience building backend applications at high scale and availability

  • You have extensive experience with Python

  • You know how to optimize endpoint performance and database queries

  • You’re a strong advocate for automated testing

  • You’ve seen and can implement engineering best practices

  • You’re user-centric empathetic and passionate about your work

Bonus

  • Experience with Django (not required but a big plus)

  • Startup experience (not required but we build and move fast!)

Our backend tech stack

  • Python + Django

  • PostgreSQL

  • Redis

  • Celery + AmazonMQ

  • Infrastructure in Terraform (AWS)

Full-Time US Employee Benefits Include

  • Some of the nicest and smartest teammates you’ll ever work with

  • Competitive salaries

  • Comprehensive healthcare benefits

  • Exciting and motivating equity

  • Flexible PTO

  • 401k

  • Parental Leave

  • Commuter Benefits (SF office employees)

  • WFH Stipend

Compensation

$205-$235k base + equity

We consider several factors when determining compensation including location experience and other job-related factors.

At Scribe we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product customers and community as well. Scribe is proud to be an Equal Opportunity and Affirmative Action Employer.

 

Top Skills

Amazonmq
AWS
Celery
Django
Postgres
Python
Redis
Terraform
Am I A Good Fit?
beta
Expert contributor network
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco California
119 Employees
Year Founded: 2019

What We Do

We are a fast-growing Series B Workflow AI startup headquartered in San Francisco. Scribe is loved by 4 million users across 600000 companies including 94% of the Fortune 500. Teams at New York Life HubSpot and Northern Trust use Scribe to work smarter faster and deliver exceptional results. Scribe has been named as a Forbes Next Billion-Dollar Startup and LinkedIn Top Startup and has raised $55M in funding from leading investors (Redpoint Tiger Global Amplify and others). We’re on a mission to uplevel how people do work. We believe that behind every company are the exceptional people who make it thrive. We live to see our customers’ faces light up when they realize the magic of Scribe. We raise the bar. We're rapid learning machines. We're all here to do the best work of our careers. And we win together. If this sounds like you we’d love to hear from you!

Similar Jobs

MongoDB

Product Manager

Big Data • Cloud • Software • Database
Easy Apply
Hybrid
2 Locations
5550 Employees
136K-266K Annually

Capital One

Artificial Intelligence Engineer

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
4 Locations
55000 Employees
230K-286K Annually

Capital One

Applied Researcher I (AI Foundations LLM Customization Finetuning Reinforcement Learning)

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
4 Locations
55000 Employees
219K-272K Annually

Capital One

Applied Researcher I (AI Foundations LLM Customization Finetuning Reinforcement Learning)

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
4 Locations
55000 Employees
219K-272K Annually

Similar Companies Hiring

Software • Sales • Robotics • Other • Hospitality • Hardware
New York NY
Artificial Intelligence • Machine Learning • Business Intelligence • Generative AI
Chicago IL
20 Employees
Fintech • Software
New York New York
6 Employees
Apply Now

Date Posted

04/03/2026

Views

0

Back to Job Listings Add To Job List Company Profile View Company Reviews
Neutral
Subjectivity Score: 0

© 2026 Job Transparency. All rights reserved.