[Hiring] Senior Backend Engineer @Pearl

Role Description

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.

Day to day, you will:

• Scale the web scraping platform.
• Build LLM workflows that pull medical codes and coverage rules out of policy text.
• Improve the reliability of scraper jobs and deployments.
• Review code and make architectural decisions for part-time and offshore engineers.

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.

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.

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.

Our Recruitment Process

• Application
• Screening
• Skills Assessment
• Topgrading Interview
• Client Interview
• Job Offer
• Client Onboarding

Ready to Join Us?

If you’re empathetic, organized, and passionate about improving patient experiences through operational excellence, this role is for you. Apply now to help make specialized healthcare more accessible to patients across the U.S.