Staff Backend Engineer, Data Ingestion

Department: Engineering

Location: Remote

Compensation: $180K – $280K • Offers Equity • Multiple Ranges

Employment Type: FullTime

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.

Were growing fast, since our founding in 2019, weve grown to 7 million users across 600,000 businesses. Based in San Francisco, weve 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 Staff Backend Engineer, Data Ingestion, youll own the backend platform and observability systems that keep Scribes Workflow Mapping capture and ingestion systems healthy at scale. Our desktop apps and browser extensions run across hundreds of thousands of installations worldwide. Youll 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. Youll 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. Youll work primarily in Python, with TypeScript and Go as needed, and partner with engineers deploying and operating our services in AWS.

🛠️ What Youll Do

• 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.

🔍 What Were Looking For

• 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 TypeScript and Go as needed.

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

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

• Youre 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.

✨ Nice to Have

• Experience monitoring the health and reliability of a large fleet of desktop apps, browser extensions, or other distributed clients.

• Experience with Django.

• Experience working at a startup or in another fast-paced, high-growth environment.

📍 Location

Remote.

💰 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.