Revenue Systems Engineer
Tasks
- Apply engineering best practices code review testing monitoring and deployment
- Architect scalable low latency data infrastructure
- Build data pipelines in batch and real time
- Build financial reconciliation and commission calculation services
- Build reporting and analytics services
- Create email processing and workflow automation APIs
- Create training data systems and evaluation infrastructure
- Deploy ML models using API services
- Design build and operate end to end ML systems
- Develop internal tools and dashboards
- Develop train evaluate and monitor ML models
- Document systems APIs and data models
- Implement data quality monitoring and incident response
- Integrate HubSpot Xero and Redshift with backend APIs
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Alerting | Amazon Redshift | Automation | Data Modeling | Data Pipelines | Data Quality | Email processing | HubSpot | Incident Response | JavaScript | Low Latency | Low-Latency Systems | Machine Learning | Model Serving | Monitoring | Python | React | Regression testing | Training pipelines | Workflow automation | Xero
Education
N/A
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