Backend Engineer, Data Ingestion

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 Linked In 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.

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  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 Type Script and Go as needed, and partner with engineers deploying and operating our services in AWS.

• Build and evolve the monitoring and observability platform for hundreds of thousands of desktop and browser extension installations worldwide.

• Define and improve the signals that measure recorder reliability, data capture health, and the availability of our Agentic Workflow Mapping system.

• Own and evolve the backend ingestion services that connect data capture to processing and AI pipelines, with a focus on scale, reliability, and performance.

• Improve background-job reliability and task orchestration so captured data moves dependably through the platform.

• Design, deploy, and operate production services in AWS, using observability to identify failures, troubleshoot bottlenecks, and guide improvements.

• 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.

• Lead cross-team technical work, clarify ownership, unblock engineers, and set a high bar for scalable architecture and maintainable code.

• You bring deep experience building backend applications and a track record of owning complex production systems at Staff-level scope.

• You have strong Python skills and are comfortable working across Type Script and Go as needed.

• You've designed and operated distributed systems and large-scale data ingestion pipelines, and understand the tradeoffs between reliability, performance, and scale.

• You've built monitoring and observability systems that make production health measurable and help teams detect, diagnose, and resolve failures.

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

• You have experience designing, deploying, and maintaining production services in AWS.

• You can turn an ambiguous problem into a technical roadmap, align engineers across teams, and carry work from design through production operation.

• You combine hands‑on engineering with technical leadership, write pragmatic and maintainable code, and take ownership of the health of the systems you build.