Founding Engineer (Typescript+Python/Data Platform)_Tt

Pulserise Technologies Ltd; São Paulo; Teletrabalho; BRL 350 000 - 700 000; Tempo integral

Resumo da oferta

Pulserise Technologies Ltd is seeking a Founding Engineer to design and build a core data platform (lakehouse) from scratch, handling high-volume event data and converting events into FHIR healthcare data for hospital clients and internal analytics.

You will work hands-on with PostgreSQL, MongoDB, and Kubernetes, collaborate with LATAM hospital IT teams, and leverage AI coding tools to ship practical features quickly as an early data-team member.

Qualificações

• 7+ years of hands-on software engineering as an IC shipping production code.
• Experience designing high-volume, event-driven architectures or event buses.
• Proficiency in TypeScript and/or Python.
• Production experience with PostgreSQL and MongoDB at scale.
• Fluency in Portuguese and English; LATAM work hours and travel possible.
• Nice to have: experience with FHIR/HL7.
• Nice to have: Rust and/or Kubernetes experience.
• Startup or scale-up background; product-driven shipping.

Responsabilidades

• Design and build the company's core data platform (lakehouse) from scratch.
• Design and implement high-volume, event-driven pipelines.
• Convert incoming events into FHIR-compliant healthcare data.
• Build data services and APIs for hospital clients and internal analytics.
• Work with PostgreSQL, MongoDB, and Kubernetes to scale the platform.
• Gather requirements from hospital IT teams, including legacy systems.
• Make architecture decisions and own them end-to-end.
• Ship iteratively, own issues in production, and use AI coding tools to move fast.

Conhecimentos

TypeScript

Python

AI coding tools

Ferramentas

PostgreSQL

MongoDB

Kubernetes

Rust

Descrição da oferta de emprego

We're looking for a Founding Engineer to design and build a core data platform from scratch for a fast-growing healthcare AI company in Latin America. You'll own the architecture of a new lakehouse that takes in high-volume events, converts them into FHIR healthcare standards, and serves both external hospital clients and internal analytics. This is a true 01 role. There is no existing system to maintain, and the decisions you make will shape how the company handles data for years. You'll stay hands-on, shipping production code every day and working with millions of records across event-driven systems, PostgreSQL and MongoDB. You'll also work directly with hospital IT teams to gather requirements, so being confident with clients matters as much as technical depth. It suits a senior individual contributor who loves building, uses AI coding tools daily, and prefers practical, product-driven shipping over tech for tech's sake.

Details

Schedule: Full time
Location: Remote (Latin America, ideally São Paulo)
Start: ASAP
Duration: Long-term
English: Fluent
Type of collaboration: Internal Employment

About the project

The company is a fast-growing healthcare AI scale-up building an AI medical scribe and a set of integrations for hospitals and clinics across Latin America. Its product helps doctors spend less time on documentation by capturing and structuring clinical information automatically. As more customers use it, the company needs a data platform that can handle high event volumes and turn them into standardized healthcare data that other systems can use. That platform will power integrations with hospital systems as well as internal analytics and product decisions. The engineering culture values ownership, speed, and shipping real value to clinical customers. This is a chance to build the data foundation of a fast-moving healthtech company and directly affect how care is delivered in the region.

You have

• 7+ years of hands-on software engineering experience, currently working as an individual contributor shipping production code
• Proven experience designing and building high-volume event-driven architectures or event bus patterns
• Strong skills in TypeScript and/or Python
• Production experience with PostgreSQL and MongoDB at scale
• Experience with large-scale, data-heavy systems handling millions of records
• Professional fluency in both Portuguese and English
• Based in Latin America and comfortable with LATAM working hours and occasional travel
• Daily use of AI coding tools in your engineering work
• Startup or scale-up background, with a focus on practical, product-driven shipping
• Nice to have: experience with healthcare data standards such as FHIR or HL7
• Nice to have: production experience with Rust and/or Kubernetes
• Nice to have: background in solutions engineering, technical consulting, or building public APIs for developers
• Nice to have: professional fluency in Spanish

What to do

• Design and build the company's core data platform (lakehouse) from scratch
• Design and build high-volume, event-driven pipelines that take in incoming data
• Convert incoming events into FHIR-compliant healthcare data
• Build data services and APIs for external hospital clients and internal analytics
• Work with PostgreSQL, MongoDB and Kubernetes to keep the platform scalable and reliable
• Gather technical requirements directly from hospital IT teams, including teams running older systems
• Make core architecture decisions and own them from design through production
• Ship quickly in small steps, and own and fix production issues as they come up
• Use AI coding tools to move faster and help set engineering practices as an early member of the data team