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*SR Full Stack Engineer
Job summary
A leading software solutions provider is seeking a Mid–Senior Full Stack Engineer to build and optimize complex distributed systems focused on healthcare innovation. You will collaborate with the CTO/CPO to translate architectural concepts into scalable software across multiple layers. With a remote work culture, this role is designed for experienced individuals skilled in Golang, Python, and React, offering opportunities for impactful contributions and career growth.
Benefits
Qualifications
- 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.
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.
Skills
Tools
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.
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.
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.
100% remote
Long-term commitment with autonomy and impact
Strategic, high-visibility role within a modern engineering culture
Collaborative international team and strong technical leadership
Career development and growth opportunities within Coderio
At Coderio, we value talent regardless of location. We are a remote-first company, passionate about technology, collaboration, and fair compensation. We provide an inclusive and challenging environment with real opportunities for growth. If building impactful solutions motivates you, we’re waiting for you.
Apply now.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.