Job Description
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