About The Position

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

  • 5+ years of backend software engineering experience, with at least 3 years in backend-focused 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.

Nice To Haves

  • Web scraping infrastructure experience (Scrapy, Playwright, or similar frameworks).
  • Production LLM/AI experience, specifically building evaluation or testing harnesses (beyond API consumption).
  • RAG (Retrieval-Augmented Generation) pipeline experience.
  • Healthcare payer data, medical coding (CPT, ICD-10), or prior authorization workflow experience.
  • Familiarity with Terraform, FastAPI, or Snowflake.

Responsibilities

  • Own and scale data infrastructure end-to-end.
  • Review code and set architectural direction for a small group of part-time and offshore engineers.
  • Build and scale web scraper infrastructure.
  • Use LLMs to structure unstructured payer policy text.
  • Implement CI/CD and reliability improvements across the data pipeline.

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
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