Backend Engineer
US$195,500 – US$350,000 / yr base salary
Posted 11 Sep 2026
Advertised as “Staff Backend Engineer, Data Ingestion”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$195,500 – US$350,000 / yr |
|---|
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 for people and AI agents.
We're growing fast. Since our founding in 2019, we've reached 7 million users across 600,000 businesses. Based in San Francisco, we're a LinkedIn Top Startup, valued at over $1B, and backed by leading investors. Join us in our mission to transform how people work.
About the role
As a Staff Backend Engineer, Data Ingestion, you'll own the backend platform and observability systems that keep Scribe's Workflow Mapping capture and ingestion systems healthy at scale. Our desktop apps and browser extensions run across hundreds of thousands of installations worldwide. You'll build the systems that help us understand whether those apps are capturing data reliably, identify problems across the fleet, and ensure the data they produce flows dependably into our processing and AI pipelines.
This is a hands-on technical leadership role on our Recorder Engineering team. You'll shape the feature, reliability, and observability roadmap for the Workflow Mapping client platform, establish meaningful measures of ingestion health, and drive improvements across team boundaries. You'll work primarily in Python, with TypeScript and Go as needed, and partner with engineers deploying and operating our services in AWS.
What you'll do
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Build and evolve the monitoring and observability platform for hundreds of thousands of desktop and browser extension installations worldwide.
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Define and improve the signals that measure recorder reliability, data capture health, and the availability of our Agentic Workflow Mapping system.
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Own and evolve the backend ingestion services that connect data capture to processing and AI pipelines, with a focus on scale, reliability, and performance.
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Improve background-job reliability and task orchestration so captured data moves dependably through the platform.
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Design, deploy, and operate production services in AWS, using observability to identify failures, troubleshoot bottlenecks, and guide improvements.
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Set the technical direction and drive the feature, reliability, and observability roadmap for the Workflow Mapping client platform in partnership with Recorder Engineering and adjacent teams.