- 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.
Highest-signal resume keywords
- Backend Application Development
- Python Programming
- Distributed Systems Design
- Monitoring and Observability Systems
- AWS Production Services
Hard Skills
- Python
- TypeScript
- Go
- Django
- Celery
- SQS
- RabbitMQ
- Kafka
- Data Ingestion Pipelines
- Task Orchestration
Soft Skills
- Technical Leadership
- Problem Solving
- Cross-Team Collaboration
Industry Keywords
- Production Systems
- Desktop Applications
- Browser Extensions
- Scalable Architecture
- High-Growth Environment
Tools & Technologies
- AWS
- Monitoring Tools
- Observability Platforms
#J-18808-Ljbffr
Staff Backend Engineer, Data Ingestion Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
