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Full Stack (GO, Python, React) MS051SG

External
Coderio logoCoderio · Medellín
ContractRemote1mo ago
AWSETLHIPAALeadershipNumPyPython
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Requirements

  • 3+ years of experience with Golang building high-performance backend services.
  • 3+ years with Python (Numpy, Scipy, Jupyter/Colab) for data processing.
  • 3+ years of experience building complex UIs with React.
  • 4+ years designing and developing distributed systems at enterprise scale.
  • 3+ years working with core AWS services in production environments.
  • Proven experience productizing data-centric solutions into SaaS offerings.
  • Advanced English
  • Resides in Latam
  • Experience in regulated industries (Healthcare/HIPAA, Finance, etc.)
  • Experience designing ETL pipelines or data engineering workflows.
  • Strong abstract thinking and communication skills.
  • Advanced problem-solving abilities for complex architectural challenges.

Benefits

100% remoteLong-term commitment with autonomy and impactStrategic, high-visibility role within a modern engineering cultureCollaborative international team and strong technical leadershipCareer development and growth opportunities within CoderioWhy Join Coderio?

Additional Information

About Coderio Coderio designs and delivers scalable digital solutions for global companies. With a strong technical foundation and a product-oriented mindset, our teams lead complex software projects from architecture to execution. We value autonomy, clear communication, and technical excellence. We work closely with international teams and partners, building technology that creates real impact. 🌍 More information: http://coderio.com We are looking for a Mid-Senior Full Stack Engineer to build and optimize complex, data-intensive distributed systems powering healthcare innovation. You will work directly with the CTO/CPO, transforming abstract architectural concepts into scalable, production-ready software across backend, frontend, and data layers. What You Can Expect (Responsibilities) Design and build scalable full-stack applications using Golang, Python, and React. Refactor and optimize existing systems to improve performance and maintainability. Develop data-driven features using scientific Python libraries and notebooks. Implement enterprise-grade distributed systems in a cloud-native AWS environment. Ensure seamless integration across software, data, and infrastructure layers. Translate abstract, high-level requirements into clear technical specifications. Contribute to building SaaS products powered by large-scale healthcare datasets.


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