Staff Backend Engineer, Data Ingestion

Cantos Ventures; Naples (FL); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Flexible paid time off

401(k)

Paid parental leave

Home office stipend

Job summary

Scribe is seeking a Staff Backend Engineer, Data Ingestion, to own the backend platform and observability systems that ensure reliable data capture and ingestion across the fleet of desktop apps and browser extensions.

You’ll lead feature and reliability work on the Workflow Mapping client platform, building in Python with TypeScript and Go as needed, and partner with teams deploying services in AWS.

Qualifications

• Backend applications with ownership of production systems at staff level.
• Strong Python skills; comfortable with TypeScript and Go as needed.
• Experience designing, operating distributed data ingestion pipelines with a focus on reliability and scale.
• Built monitoring and observability systems to measure health and detect failures.
• Proficient with message queues and task orchestration (Celery, SQS, RabbitMQ, Kafka).
• Experience deploying and maintaining production services in AWS.

Responsibilities

• Build and evolve the observability platform for desktop apps and browser extensions at scale.
• Define signals to measure recorder reliability and data capture health.
• Own backend ingestion services connecting data capture to processing and AI pipelines.
• Improve background-job reliability and task orchestration for data flow.
• Design, deploy, and operate production services in AWS with strong observability.
• Lead cross-team technical work and set architecture direction for the platform.

Skills

Python

TypeScript

Go

Distributed systems

Observability

Leadership

Messaging platforms

Tools

Celery

SQS

RabbitMQ

Kafka

Django

AWS

Job description

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

• 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 We're 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.
• 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.

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.