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Salary
$145k – $230k per year
Location
Remote/Hybrid (United States)
Seniority
Senior · 8+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Scribe is a documentation software company headquartered in San Francisco, California, and founded in 2019. The company sells a browser extension and desktop capture tool that records a user working through a process and automatically turns it into an illustrated step by step guide with screenshots and annotations. It is used by operations, enablement, and support teams that need process documentation without writing it manually, and offers workspace features for sharing and updating those guides.

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

As a Senior Software Engineer, Backend, you'll design and build the backend systems behind Scribe's data ingestion, workflow processing, and AI inference capabilities, working close to application code while thinking deeply about distributed systems, scalability, and performance. You'll help architect large-scale data pipelines, build services that power AI inference with our in-house models, and improve business-critical systems across the platform, working across Python, TypeScript, and Go in partnership with teammates deploying to AWS.

What You'll Do

  • Architect and evolve large-scale data ingestion and processing pipelines

  • Build services that power AI inference with our in-house models

  • Improve the performance of business-critical systems across the platform

  • Design, deploy, and operate microservices in production

  • Work across Python, TypeScript, and Go to ship reliable, maintainable code

  • Partner with teammates to deploy and operate systems in AWS

What We're Looking For

  • You bring 8+ years of experience building backend applications with Python, Typescript, or Go.

  • You have deep experience designing and operating distributed systems in production environments.

  • You’re confident working with message queues, background jobs, and task orchestration tools such as Celery, SQS, RabbitMQ, or Kafka.

  • You’ve built large-scale data ingestion and processing systems and understand the challenges that come with scale, reliability, and performance.

  • You have experience designing, deploying, and maintaining microservices.

  • You know how to optimize endpoint performance, improve database query efficiency, and troubleshoot bottlenecks in critical systems.

  • You enjoy building pragmatic, high-quality application code and care about maintainability as much as velocity.

  • You thrive in fast-moving environments and bring a strong sense of ownership to your work.

Nice to Have

  • You have experience with Django.

  • You’ve worked at a startup or other fast-paced, high-growth environment.

Location

Hybrid. Based in San Francisco. We work from the office 3 days per week.

Compensation

Salary varies by location. All full-time employees receive equity in Scribe. Final offers depend on experience and scope.

Benefits

  • Health, dental, and vision insurance for you and your dependents

  • Flexible paid time off and company holidays

  • 401(k)

  • Paid parental leave

  • Daily catered lunch (SF office)

  • Commuter benefits

  • Home office stipend

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. Scribe is proud to be an Equal Opportunity Employer.

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