Docker Developer

crossing hurdles โ€ข United State
Remote
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AI Summary

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.

Key Highlights
Design and build Docker-based environments
Develop and optimize CI/CD pipelines
Collaborate with machine learning engineers and developers
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 pipelines DevOps containerization machine learning workflows
Benefits & Perks
$15-$35/hour
Remote work

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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