DevOps Engineer (Docker) | $35/hr Remote

United StatesRemoteContract$15–$35 /hrPosted 2 months ago

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Role summary

This is a remote, contract DevOps Engineer position focused on Docker. The role involves designing, building, and maintaining Docker-based environments for AI training workloads, developing and optimizing CI/CD pipelines, and ensuring the performance, scalability, and security of containerized systems. Responsibilities include troubleshooting, documentation, and collaboration with machine learning engineers. A Bachelor's degree in a related field and strong communication skills are required. The ideal candidate will have proven experience with Docker, CI/CD tools, and DevOps practices, with a focus on supporting AI or machine learning workflows.

Position:
Docker Developer

Type:
Contract

Compensation:
$15–$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.
Bachelor’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)

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Interview (15 min)
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