Remote Senior Backend Engineer

Pearl; Buenos Aires; Remote; ARS 136,310,000 - 212,038,000; Full time

Benefits offered by this job

Competitive Salary

Remote Work: Fully remote

Generous PTO

Health Coverage for LATAM talents

Direct Mentorship

Learning & Development

Global Networking

Job summary

Pearl is recruiting a Senior Backend Engineer for a seed-stage healthcare data company. You will scale the web scraping platform, build LLM workflows to extract medical codes and coverage rules from policy text, and improve scraper reliability and deployment.

As technical lead, you will review code and make architectural decisions for part-time and offshore engineers, without managing people directly. Remote, EST overlap, full-time role.

Qualifications

• 5+ years of backend engineering experience building production systems in Python.
• Production experience with SQL and PostgreSQL for storing and querying large datasets.
• Experience building pipelines that ingest, clean, and normalize messy or unstructured data.
• Hands‑on experience deploying and running backend services on AWS, GCP, or Azure.
• Experience reviewing code and owning architectural decisions on a shared codebase.
• English at C1 (CEFR) for daily video calls and technical discussions with US‑based founders.

Responsibilities

• Scale the web scraping platform and build LLM workflows for policy data.
• Own the scraper pipeline from ingestion through storage; improve reliability.
• Review code and guide architecture for part-time and offshore engineers.

Skills

Python backend

PostgreSQL

Data pipelines

AWS/GCP/Azure

Code review

English communication

Tools

Terraform

Snowflake

FastAPI

Scrapy

Playwright

Job description

Work From Anywhere in LATAM

Work Schedule: EST | Full overlap with US Eastern business hours

About Pearl Talent

Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund.

About the Client

A seed-stage healthcare data company is building the central source of payer policy data behind coverage decisions, and is looking for a Senior Backend Engineer to own its data infrastructure end to end.

The company collects and structures more than 100,000 medical policies from over 100 insurance payers, using AI to turn complex payer rules into searchable data for customers. It is backed by healthcare accelerators and the National Institutes of Health, recently signed a commercial partnership, and is now scaling its applied AI systems.

About the Role

Day to day, you will scale the web scraping platform, build LLM workflows that pull medical codes and coverage rules out of policy text, and improve the reliability of scraper jobs and deployments. As technical lead, you will review code and make architectural decisions for part-time and offshore engineers, without managing people directly. Success means reliable scraper jobs, automated testing and deployment, and structured data accurate enough for customers to act on.

Core Responsibilities

Web Scraping Infrastructure

• Build and scale the platform used to develop scrapers that collect policy data from 100+ payers


• Improve scraper reliability and throughput without reducing data accuracy


• Own the scraper pipeline from ingestion through storage

LLM Data Normalization

• Build LLM workflows that convert unstructured policy text into structured, searchable records


• Infer and tag related medical codes (CPT, ICD-10) from policy language


• Classify procedure coverage status (covered or not covered) by payer


• Build evaluation and testing harnesses to measure and track output accuracy

CI/CD and System Reliability

• Build and maintain CI/CD pipelines for testing and deploying scraper jobs


• Monitor job failures, diagnose root causes, and ship fixes


• Review pull requests from part-time and offshore engineers


• Document architectural decisions and share them with the engineering team

APIs and Data Product

• Design and maintain APIs that serve normalized policy data to customers


• Support the Snowflake-based data product used by customers


• Join occasional customer calls to understand feature requirements

Requirements

Must-Have

• 5+ years of backend engineering experience building production systems in Python


• Production experience with SQL and PostgreSQL for storing and querying large datasets


• Experience building pipelines that ingest, clean, and normalize messy or unstructured data


• Hands‑on experience deploying and running backend services on AWS, GCP, or Azure


• Experience reviewing code and owning architectural decisions on a shared codebase


• English at C1 (CEFR) for daily video calls and technical discussions with US‑based founders

Nice-to-Have

• Experience building LLM-based extraction or classification with evaluation harnesses (OpenAI, Anthropic, LangChain, or similar)


• Web scraping at scale with Scrapy, Playwright, or similar frameworks


• Experience with RAG (Retrieval‑Augmented Generation) pipelines


• Hands‑on use of Terraform, FastAPI, or Snowflake


• Exposure to healthcare payer policy data, medical coding (CPT, ICD‑10), or prior authorization

Benefits

• Competitive Salary: Based on experience and skills


• Remote Work: Fully remote—work from anywhere


• Team Incentives: Recognition for maintaining 100% CRM hygiene and on‑time reporting


• Generous PTO: In accordance with company policy


• Health Coverage for PH‑based talents: HMO coverage after 3 months for full‑time employees


• Direct Mentorship: Guidance from international industry experts


• Learning & Development: Ongoing access to resources for professional growth


• Global Networking: Connect with professionals worldwide