About the Project
You'll be joining an existing remote engineering team building and maintaining an internal automation platform.
You'll own Python services end-to-end: designing the automation logic, running it in production, handling failures, and verifying real-world outputs.
What You'll Do
- Build and maintain browser automation workflows using Playwright against real-world web portals
- Own Python services from design to production - orchestration, error handling, monitoring
- Design and implement retry logic, alerting, and failure recovery for production-grade automations
- Work with workflow orchestration tools (Prefect) to schedule and manage data pipelines
- Integrate LLMs and OCR into automation pipelines where needed
- Write and maintain SQL queries, work directly with PostgreSQL as the primary data store
- Deploy and operate services in AWS using Docker and CI/CD pipelines
Strong Plus
- Front-end basics - ability to build dashboards, admin pages, reports, or customer-facing portals
- Workflow orchestration - Prefect, Airflow, Celery, or similar
- ETL and data pipeline experience - data validation, transformation, loading
- PostgreSQL — schema design, complex queries, direct database work