Description
Work From Anywhere in LATAM
Work Schedule: EST | Full overlap with US Eastern business hours (Monday–Friday)
Compensation Range: $3,000 - $4,000 USD/month based on experience

A seed-stage healthcare technology company is building the data infrastructure behind faster, clearer healthcare coverage decisions, and is looking for a Senior Backend Engineer to own and scale that infrastructure end-to-end.
The team is small and moves fast, aggregating and normalizing over 100,000 medical policies from 100+ payers into structured, searchable intelligence using AI-driven systems. The founder is currently the sole engineer, so this hire acts as technical lead — reviewing code and setting architectural direction for a small group of part-time and offshore engineers, without managing people directly.
Day-to-day, the role centers on building and scaling web scraper infrastructure, using LLMs to structure unstructured payer policy text, and standing up CI/CD and reliability improvements across the data pipeline.



Success means the founder is no longer the bottleneck — the data infrastructure runs reliably and accurately and scales without constant direction.

Requirements
Must-Have
- 5+ years of backend software engineering experience, with at least 3 years in backend-focused (not generalist full-stack) roles
- 3+ years of professional Python as a primary backend language
- SQL proficiency with relational databases (PostgreSQL, MySQL, or SQL Server), including complex queries and schema design
- Hands-on AWS experience (Azure or GCP transferable) deploying and managing production services, plus CI/CD pipeline ownership
- Experience building and maintaining production data pipelines or ETL systems that ingest from inconsistent, messy, or unstructured external sources
- Demonstrated end-to-end system or architecture ownership at an early-stage startup or small engineering team (2–15 engineers)
- English at C1+ CEFR level for technical communication on video calls with th

📌 Remote Senior Backend Engineer for Data and Analytics Company (Ciudad de México)
🏢 Pearl
📍 Ciudad de México