Work From Anywhere in LATAMWork Schedule: EST | Full overlap with US Eastern business hours (Monday–Friday)About Pearl TalentPearl 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.Hear why we exist, what we believe in, and who we're building for: Watch hereAbout the ClientA seed-stage healthcare technology company is building the data infrastructure that powers smarter, faster healthcare coverage decisions, and is hiring a Senior Backend Engineer to own that infrastructure end-to-end.The company aggregates and normalizes more than 100,000 medical policies from over 100 payers into a searchable database, using AI systems to turn dense payer rules into actionable insights. Backed by several early-stage accelerators and investors, the team recently landed a commercial partnership and is now scaling its applied AI systems.About the RoleYou'll join a lean, founder-led engineering team as the Senior Backend Engineer, reporting directly to the founder and acting as technical lead for a small group of part-time and offshore engineers — reviewing code and shaping architectural decisions without formal people-management responsibility. You'll own the end-to-end web scraping and data ingestion pipeline, use LLMs to structure unstructured payer policy data, and build the CI/CD and reliability systems the platform runs on.Core ResponsibilitiesWeb Scraping Infrastructure & Platform DevelopmentBuild and scale platform infrastructure for web scrapers collecting policy data from 100+ healthcare payersImprove scraper reliability and scalability without sacrificing data accuracyOwn the end-to-end scraper pipeline from data ingestion to storageResolve infrastructure bottlenecks blocking new scraper developmentLLM-Powered Data Normalization & StructuringUse LLM systems to transform unstructured payer policy text into structured, searchable dataInfer and tag relevant medical codes from policy language using AI modelsDetermine coverage status for procedures based on LLM-driven analysisBuild evaluation and testing harnesses to validate AI system output qualityCI/CD, Job Reliability & System OwnershipBuild and maintain CI/CD pipelines for testing and deploying scraper jobsImprove reliability of scraper job infrastructure through monitoring and fixesDiagnose and resolve system issues across the data pipelineOwn architectural decisions and communicate them to the engineering teamAPI Design & Data Product DevelopmentDesign and maintain APIs serving normalized policy data to customersSupport the Snowflake-based data product used by client customersEnsure data outputs are structured for downstream usabilityRequirementsMust-Have3-5 years of professional backend engineering experience with demonstrated ownership of production data pipelines or platform-level systemsExpert-level Python proficiency (3+ years in a professional backend engineering context)Strong SQL experience, including complex queries and schema design (Postgres or equivalent relational database)Hands-on cloud infrastructure experience deploying and managing services (AWS preferred; Azure or GCP with 2+ years accepted)Demonstrated experience working with messy, unstructured, or ambiguous data sources (data normalization, cleaning, or ingestion from inconsistent external sources)Experience owning CI/CD pipeline design and implementation for testing and deploymentClient-facing English proficiency at B2+ (CEFR)Nice-to-HaveExperience building or productionizing LLM-based systems with evaluation or testing components (not limited to API calls)Web scraping framework experience (Scrapy, Playwright, or similar)Experience with RAG (Retrieval-Augmented Generation) pipelinesPrior experience in healthcare, fintech, or another highly regulated data domainInfrastructure-as-Code experience (Terraform) or familiarity with FastAPI/SnowflakeBenefits 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 OnboardingReady 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.
Work From Anywhere in LATAM
Work Schedule: EST | Full overlap with US Eastern business hours (Monday–Friday)
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.
Hear why we exist, what we believe in, and who we're building for: Watch here
About the Client
A seed-stage healthcare technology company is building the data infrastructure that powers smarter, faster healthcare coverage decisions, and is hiring a Senior Backend Engineer to own that infrastructure end-to-end.
The company aggregates and normalizes more than 100,000 medical policies from over 100 payers into a searchable database, using AI systems to turn dense payer rules into actionable insights. Backed by several early-stage accelerators and investors, the team recently landed a commercial partnership and is now scaling its applied AI systems.
About the Role
You'll join a lean, founder-led engineering team as the Senior Backend Engineer, reporting directly to the founder and acting as technical lead for a small group of part-time and offshore engineers — reviewing code and shaping architectural decisions without formal people-management responsibility. You'll own the end-to-end web scraping and data ingestion pipeline, use LLMs to structure unstructured payer policy data, and build the CI/CD and reliability systems the platform runs on.
Core Responsibilities
Web Scraping Infrastructure & Platform Development
- Build and scale platform infrastructure for web scrapers collecting policy data from 100+ healthcare payers
- Improve scraper reliability and scalability without sacrificing data accuracy
- Own the end-to-end scraper pipeline from data ingestion to storage
- Resolve infrastructure bottlenecks blocking new scraper development
LLM-Powered Data Normalization & Structuring
- Use LLM systems to transform unstructured payer policy text into structured, searchable data
- Infer and tag relevant medical codes from policy language using AI models
- Determine coverage status for procedures based on LLM-driven analysis
- Build evaluation and testing harnesses to validate AI system output quality
CI/CD, Job Reliability & System Ownership
- Build and maintain CI/CD pipelines for testing and deploying scraper jobs
- Improve reliability of scraper job infrastructure through monitoring and fixes
- Diagnose and resolve system issues across the data pipeline
- Own architectural decisions and communicate them to the engineering team
API Design & Data Product Development
- Design and maintain APIs serving normalized policy data to customers
- Support the Snowflake-based data product used by client customers
- Ensure data outputs are structured for downstream usability
Requirements
Must-Have
- 3-5 years of professional backend engineering experience with demonstrated ownership of production data pipelines or platform-level systems
- Expert-level Python proficiency (3+ years in a professional backend engineering context)
- Strong SQL experience, including complex queries and schema design (Postgres or equivalent relational database)
- Hands-on cloud infrastructure experience deploying and managing services (AWS preferred; Azure or GCP with 2+ years accepted)
- Demonstrated experience working with messy, unstructured, or ambiguous data sources (data normalization, cleaning, or ingestion from inconsistent external sources)
- Experience owning CI/CD pipeline design and implementation for testing and deployment
- Client-facing English proficiency at B2+ (CEFR)
Nice-to-Have
- Experience building or productionizing LLM-based systems with evaluation or testing components (not limited to API calls)
- Web scraping framework experience (Scrapy, Playwright, or similar)
- Experience with RAG (Retrieval-Augmented Generation) pipelines
- Prior experience in healthcare, fintech, or another highly regulated data domain
- Infrastructure-as-Code experience (Terraform) or familiarity with FastAPI/Snowflake
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.
Pearl Talent is a US-based start-up that helps the top 1% of talent worldwide land long-term roles at fast-growing companies in the US and EU. Founded by Monty Ngan and Isaac Kassab, Pearl Talent helps operators all around the Philippines, Latin America, and South Africa get staffed into companies backed by Y Combinator, Sequoia, a16z, General Catalyst, and more.We believe that even though opportunity isn’t created equal in the world, ambitious talent is.
Pearl Talent is a US-based start-up that helps the top 1% of talent worldwide land long-term roles at fast-growing companies in the US and EU.
Founded by Monty Ngan and Isaac Kassab, Pearl Talent helps operators all around the Philippines, Latin America, and South Africa get staffed into companies backed by Y Combinator, Sequoia, a16z, General Catalyst, and more.
We believe that even though opportunity isn’t created equal in the world, ambitious talent is.
