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Full Stack Developer Engineer Specialist - Remote

Posted Yesterday
Software Development
Contract
Worldwide
$30 - $45/hour

Overview

The Full Stack Developer Engineer Specialist will work directly with clients to deliver technical solutions, focusing on process automation and API integration.

In Short

  • 3–5 years of experience in client-facing development.
  • Strong programming skills in Python and JavaScript/Node.js.
  • 2–3 years of platform development experience using Node.js, Python, Docker, and GraphQL.
  • Proficiency with Git/GitHub workflows.
  • Ability to operate independently with minimal oversight.
  • Experience with microservices and cloud environments is a bonus.
  • Develop scalable solutions to automate workflows.
  • Contribute to designing modular, reusable systems.
  • Balance engineering-heavy initiatives with business logic development.
  • Contractors must supply their own equipment and internet.

Requirements

  • 3–5 years of experience in client-facing development.
  • Strong programming skills in Python and JavaScript/Node.js.
  • 2–3 years of platform development experience using Node.js, Python, Docker, and GraphQL.
  • Proficiency with Git/GitHub workflows.
  • Independent work capability with strong problem-solving skills.
  • Bonus: Experience with microservices and cloud environments.

Benefits

  • Pay range of $30 to $45 per hour.
  • Flexible working hours as a contractor.
  • Opportunity to work on diverse projects.
  • Potential for long-term client relationships.
  • Independence in managing your own business.

I.A

Invisible Agency

Invisible Agency is a forward-thinking technology company focused on supporting the development and implementation of cutting-edge AI language models. The company is dedicated to enhancing the capabilities of artificial intelligence to assist in various fields, including medical diagnostics and scientific research. With a commitment to innovation, Invisible Agency aims to improve the efficiency and effectiveness of AI algorithms by ensuring they are well-trained and equipped with high-quality data. The team fosters a collaborative environment where employees can thrive and contribute to the evolution of AI technology.

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