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# Python Full Stack Developer

- **Company:** JUPITER IT SOLUTIONS LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $62,400.0 - $83,200.0
- **Contract:** Temporary contract
- **Skills:** Web Interfaces, Artificial Intelligence, Amazon Web Services, Automation of Tests, Mobile Application Development, Cloud Computing, Continuous Integration, Information Engineering, Database Applications, Python (Programming Language), Systems Development Life Cycle, Standard Sql, SQL Databases, ReactJS, Large Language Models, Snowflake, Backend, Git, Vue.js, Event Driven Architecture, Build Management, Apache Kafka, Restful APIs, Docker, Databricks, Microservices
- **Published:** July 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8b16b6d540be9e0f

## About the Role

* 5 years of experience in Full Stack Application Development
 * Healthcare domain
 * Python
 * SQL
 * Databricks and/or Snowflake
 * Vue.js and/or React
 * AWS
 * Apache Kafka
 * Automation Testing / Test Automation
 * Git & CI/CD

NICE TO HAVE

 * AI-native application development
 * LLM integration experience
 * Docker & Kubernetes
 * REST APIs and Microservices Architecture

Pay: $30.00 - $40.00 per hour

Experience:

 * Full Stack Application Development: 5 years (Preferred)
 * AI-native application development: 3 years (Preferred)

## Description

We are looking for a Full Stack Python Engineer to build scalable cloud-native applications across backend services and modern web interfaces. You will develop robust APIs, data-driven applications, and AI-enabled solutions leveraging Python, modern JavaScript frameworks, cloud platforms, and data engineering technologies. The ideal candidate is passionate about building high-quality, secure, and scalable applications while collaborating with cross-functional engineering teams., * Design and develop scalable backend services using Python and SQL.

 * Build responsive front-end applications using Vue.js or React.
 * Develop data-driven applications leveraging Databricks or Snowflake.
 * Implement event-driven architectures using Kafka.
 * Build and deploy cloud-native solutions on AWS.
 * Write automated tests and ensure application quality through testing best practices.
 * Contribute to AI-native application development and intelligent product capabilities.
 * Collaborate with architects, QA engineers, and product teams throughout the SDLC.


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