Staff Backend Engineer, Data Ingestion

Stellenbeschreibung:

Build and evolve the monitoring and observability platform for hundreds of thousands of desktop and browser extension installations worldwide
Define and improve signals measuring recorder reliability, data capture health, and Agentic Workflow Mapping availability
Own and evolve backend ingestion services connecting data capture to processing and AI pipelines
Improve background-job reliability and task orchestration
Design, deploy, and operate production services in AWS
Use observability to identify failures, troubleshoot bottlenecks, and guide improvements
Set technical direction and drive the feature, reliability, and observability roadmap for the Workflow Mapping client platform
Lead cross-team technical work, clarify ownership, unblock engineers, and set standards for scalable architecture and maintainable code

Requirements

Deep experience building backend applications and a track record of owning complex production systems at Staff-level scope
Strong Python skills and comfort working across TypeScript and Go as needed
Experience designing and operating distributed systems and large-scale data ingestion pipelines
Experience building monitoring and observability systems
Experience with message queues, background jobs, and task orchestration tools such as Celery, SQS, RabbitMQ, or Kafka
Experience designing, deploying, and maintaining production services in AWS
Ability to turn ambiguous problems into technical roadmaps and carry work from design through production operation
Hands-on engineering and technical leadership experience
Experience monitoring the health and reliability of a large fleet of desktop apps, browser extensions, or other distributed clients (nice to have)
Experience with Django (nice to have)
Experience working at a startup or in another fast-paced, high-growth environment (nice to have)

Core Competencies

Demonstrates expertise in building and evolving backend applications, particularly in monitoring and observability systems, while leading technical direction and ensuring reliability in production environments. Proficient in designing and operating distributed systems and large-scale data ingestion pipelines, with a strong focus on AWS deployment.