Founding Engineer (Data Platform)

Accountabilities:: Data Platform Architecture: Design and build a high-volume, event-driven data platform from the ground up, establishing the architecture and technical foundations needed for long-term scale. Event Processing: Develop systems capable of ingesting and processing millions of clinical events through a robust lakehouse architecture. Healthcare Data Standardization: Transform and standardize clinical information into FHIR (Fast Healthcare Interoperability Resources) format to enable consistent and connected healthcare data. Database Engineering: Build, operate, and maintain PostgreSQL and MongoDB systems capable of reliably handling millions of records in production. Hospital Integrations: Work directly with external hospital IT teams to understand technical requirements and integrate the platform with existing and legacy healthcare infrastructure. API Development: Design and build developer-facing public APIs that allow external clients to access and integrate with the platform's data capabilities. End-to-End Ownership: Own the technical stack across the full data lifecycle, from event ingestion and processing through data serving for external clients and internal analytics. Production Engineering: Remain hands-on in production development, delivering reliable, scalable code and taking ownership of the systems you build. AI-Assisted Development: Use AI coding tools as part of the daily engineering workflow to accelerate implementation, experimentation, and delivery. Requirements Engineering Experience: 7+ years of hands-on software engineering experience, with a current focus on individual-contributor work and shipping production software. Event-Driven Systems: Proven experience designing and implementing high-volume event-driven architectures, event buses, or comparable distributed data-processing patterns. Data at Scale: Professional production experience working with PostgreSQL and MongoDB at scale, including systems handling millions of records. Large-Scale Systems: Demonstrated experience building and operating heavy-data systems in production environments where reliability, scalability, and performance are critical. Technical Ownership: Ability to take significant architectural ownership while remaining deeply hands-on in implementation and delivery. Healthcare or Complex Integrations: Experience working with complex data environments, integrations, or legacy infrastructure is valuable for the challenges involved in connecting healthcare systems. Language Skills: Professional-level fluency in both Portuguese and English is required. Location: Based in Latin America, with candidates in Brazil, Colombia, Mexico, Argentina, or Chile particularly aligned with the role; exceptional candidates in Europe may be considered if they can work LATAM hours and travel occasionally. Individual Contributor Mindset: Must be a hands-on engineer actively shipping production code rather than someone who has recently transitioned into a purely managerial or director-level position. Collaboration: Strong communication skills and the ability to work directly with external technical stakeholders, internal teams, and engineering partners. Adaptability: Comfortable working in a founding-stage environment where priorities evolve quickly and engineers have broad ownership and responsibility. Benefits Competitive Compensation: Annual salary of $95,000–$120,000 . Fully Remote: Work remotely from eligible locations in Latin America, providing flexibility regardless of your home city. Founding-Level Ownership: Take ownership of a foundational data platform and have substantial influence over its architecture, technology choices, and evolution. Healthcare Technology Impact: Build infrastructure that transforms clinical data and supports healthcare providers across Latin America. High-Scale Engineering: Work with millions of clinical events and production data systems requiring scalable, reliable engineering. End-to-End Scope: Gain broad technical ownership spanning event ingestion, data processing, databases, APIs, integrations, and analytics. Direct Customer Exposure: Collaborate directly with hospital IT teams and gain firsthand insight into complex technical requirements and integration challenges. AI-Enabled Development: Use modern AI coding tools as part of the everyday engineering workflow. International Environment: Work across a Latin American healthcare ecosystem with exposure to hospitals, healthcare providers, and technical stakeholders in multiple markets. Full-Time Opportunity: Join a full-time engineering role at a mid-senior professional level with significant technical ownership.