Carda Health

Full Stack Software Engineer

Vaga remota de Engineering com fit claro de localização do candidato.

Publicada23 de jul. de 2026

Países elegíveis3 países aceitos

Sinal de senioridadeSenior

Modelo de trabalhoRemoto

Locais aceitos para candidatos

ArgentinaBahamasBrasil

Resumo da vaga

Conteúdo da vaga extraído em seções para revisão mais rápida.

Architect, develop, and deliver new functionality in the web-based version of our core product -- the app that delivers our remote rehab programs to patients and clinicians
Build robust backend APIs, data models, and systems that will support both the frontend and the mobile app being built in parallel by your peers
Design, develop, and help deploy AI agent workflows and algorithms to drive efficiency and improve patient experience
Play a key role in developing the product vision
Help develop and implement our strategy for collecting, reporting, analyzing and using data.
Collaborate closely with everyone on the team. We welcome and encourage direct, honest and constructive feedback
Support a thoughtful and fast-paced engineering culture of code quality, documentation and design tradeoffs
Work remotely and flexibly — we’re all remote too!

History of technical ownership for significant engineering projects
5+ years of full time, full-stack web application development experience across frontend, backend, and infrastructure
5+ years of experience building backend services and APIs with frameworks like Ruby on Rails, Django, Node.js, or similar
Strong experience with SQL for data analysis and visualization in tools like Tableau, Looker, Metabase, or similar.
Solid understanding of web APIs, networking fundamentals, database principles, and other technical foundations
Positive attitude in the face of challenges and dogged determination to solve puzzles with little direction in a high-growth, early stage startup
Proven ability to take product ownership and deliver successful results
A keen eye for product and user experience
Demonstrable interest in learning and adopting new tools and techniques

Proficiency in data mining, statistical analysis, and predictive modeling algorithms.
Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) or open-source foundation models
Familiarity with cloud services like AWS or Google Cloud, particularly for deploying and scaling AI-powered applications
Experience working with native client applications (iOS or Android)
Previous experience at an early stage startup
Experience working with HIPAA compliant applications and data
BS/MS in Computer Science or equivalent

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