Docker Developer (Contract)

crossing hurdles โ€ข South Africa
Remote
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AI Summary

Seeking a Docker Developer for a contract role focused on designing and maintaining Docker-based environments for AI training workloads. Responsibilities include optimizing CI/CD pipelines, containerizing applications, and troubleshooting containerized systems. Key requirements include experience with Docker, CI/CD tools, DevOps practices, and supporting AI/ML workflows. This is a remote position with flexible hours and a competitive hourly rate.

Key Highlights
Design and maintain Docker-based environments for AI training workloads.
Develop and optimize CI/CD pipelines for deployment efficiency.
Containerize applications and support AI/ML workflows.
Key Responsibilities
Design, build, and maintain Docker-based environments for scalable AI training workloads.
Develop and optimize CI/CD pipelines to improve deployment efficiency and reliability.
Collaborate with machine learning engineers and developers to containerize applications and streamline workflows.
Troubleshoot and resolve issues related to Docker environments in both development and production.
Document technical processes and communicate best practices clearly across teams.
Monitor and enhance containerized systems for performance, scalability, and security.
Participate in code reviews and contribute to knowledge sharing within the team.
Technical Skills Required
Docker CI/CD
Benefits & Perks
$15โ€“$35/hour
Remote

Job Description


Position: Docker Developer

Type: Contract

Compensation: $15โ€“$35/hour

Location: Remote

Commitment: 10-40 hour/week


Role Responsibilities

  • Design, build, and maintain Docker-based environments for scalable AI training workloads.
  • Develop and optimize CI/CD pipelines to improve deployment efficiency and reliability.
  • Collaborate with machine learning engineers and developers to containerize applications and streamline workflows.
  • Troubleshoot and resolve issues related to Docker environments in both development and production.
  • Document technical processes and communicate best practices clearly across teams.
  • Monitor and enhance containerized systems for performance, scalability, and security.
  • Participate in code reviews and contribute to knowledge sharing within the team.


Requirements

  • Experience working with Docker for containerization and environment management.
  • Proven ability to build and maintain CI/CD pipelines using modern tools.
  • Strong understanding of DevOps practices and container lifecycle management.
  • Experience supporting AI or machine learning workflows through containerization.
  • Bachelorโ€™s degree or higher in Computer Engineering, Software Engineering, or a related field.
  • Strong written and verbal communication skills.
  • Ability to work independently in a remote, distributed team environment.


Application Process (Takes 20 Min)

  • Upload resume
  • Interview (15 min)
  • Submit form

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