Negotiable
Undetermined
Remote
EMEA
Summary: The role of Docker Developer involves designing, building, and maintaining Docker-based environments specifically for scalable AI training workloads. The position requires collaboration with machine learning engineers to optimize CI/CD pipelines and troubleshoot Docker-related issues. This is a remote contract position with flexible hours ranging from 10 to 40 hours per week.
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.
Key Skills:
- 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.
Salary (Rate): £27.00/hr
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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)
- Upload resume
- Interview (15 min)
- Submit form