
Senior Backend Engineer
Posted Oct 16

Posted Oct 16
This is a fully remote position, open to applicants in Dominican Republic, +5 more countries.
• Develop and enhance the platform utilized for creating scrapers that gather policy information from over 100 payers.
• Enhance the reliability and throughput of scrapers while ensuring data accuracy is preserved.
• Take ownership of the scraper pipeline from data ingestion to storage.
• Create LLM workflows that transform unstructured policy text into structured, searchable records.
• Infer and tag relevant medical codes, such as CPT and ICD-10, based on policy language.
• Classify the coverage status of procedures by payer.
• Construct evaluation and testing harnesses to assess and monitor output accuracy.
• Develop and sustain CI/CD pipelines for the testing and deployment of scraper jobs.
• Oversee job failures, identify root causes, and implement fixes.
• Review pull requests from part-time and offshore engineers.
• Document architectural decisions and communicate them with the engineering team.
• Design and maintain APIs that deliver normalized policy data to clients.
• Provide support for the Snowflake-based data product.
• Participate in occasional customer calls to gather feature requirements.
• Act as the technical lead for part-time and offshore engineers without direct personnel management.
• Over 5 years of backend engineering experience in building production systems using Python.
• Proven experience with SQL and PostgreSQL for managing and querying large datasets.
• Background in creating pipelines that ingest, clean, and normalize messy or unstructured data.
• Practical experience in deploying and operating backend services on AWS, GCP, or Azure.
• Experience in code review and making architectural decisions within a shared codebase.
• Proficiency in English at C1 (CEFR) level for daily video conferences and technical discussions with US-based founders.
• Experience in building LLM-based extraction or classification systems with evaluation harnesses (OpenAI, Anthropic, LangChain, or similar).
• Capable of web scraping at scale using frameworks like Scrapy, Playwright, or similar tools.
• Familiarity with RAG (Retrieval-Augmented Generation) pipelines.
• Practical knowledge of Terraform, FastAPI, or Snowflake.
• Exposure to healthcare payer policy data, medical coding (CPT, ICD-10), or prior authorization processes.
• Competitive salary based on experience and skills.
• Fully remote working environment.
• Team incentives for maintaining 100% CRM hygiene and timely reporting.
• Generous paid time off in accordance with company policy.
• HMO coverage after 3 months for full-time employees based in the Philippines.
• Direct mentorship from international industry experts.
• Access to ongoing learning and development resources.
• Opportunities for global networking.
Domo Inovação
OhioHealth
Mitratech
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