Staff Backend Engineer, Data Ingestion

Scribe provides a Specialized Intelligence platform that captures how work happens and helps people and AI agents perform their best work. The Staff Backend Engineer, Data Ingestion will own backend ingestion, monitoring, and observability systems for Scribe's Workflow Mapping platform, ensuring reliable data capture and delivery into processing and AI pipelines. The role also provides technical leadership across architecture, reliability, roadmap planning, and production operations.

Responsibilities:

• 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

Requirements:

• 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
• 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're 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
• 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