Docker developer

Job Title: Docker Developer

Job Type: Contract

Location: Remote

Job Summary:

We are seeking a talented Docker Developer to join our customer’s innovative team, focusing on robust containerization and orchestration solutions for AI training applications. In this role, you will play a pivotal part in developing and optimizing Docker environments that fuel state-of-the-art AI systems, collaborating remotely with passionate engineers and stakeholders.

Key Responsibilities:

• Design, build, and maintain Docker-based infrastructure for scalable AI training workloads.
• Develop, implement, and optimize CI/CD pipelines to enhance development efficiency and deployment reliability.
• Collaborate closely with machine learning engineers and software developers to containerize applications and streamline workflows.
• Troubleshoot, diagnose, and resolve Docker-related issues to ensure seamless operations in production and development.
• Document technical processes and effectively communicate best practices to team members in both written and verbal forms.
• Continuously monitor, assess, and improve existing containerized environments for security, performance, and scalability.
• Participate in code reviews and share knowledge with fellow engineers to elevate team capabilities.

Required Skills and Qualifications:

• Minimum 2 years of professional experience developing and managing Docker environments.
• Proven expertise in creating and maintaining CI/CD pipelines using modern tools and methodologies.
• Strong written and verbal communication skills, with a commitment to clear documentation and team collaboration.
• Experience supporting or enabling AI training workflows through containerization.
• Bachelor’s degree or higher in Computer Engineering, Software Engineering, or a related field.
• Proficiency with DevOps practices and a deep understanding of container lifecycle management.
• Demonstrated ability to work effectively in a remote and distributed team setting.

Preferred Qualifications:

• Practical exposure to AI and machine learning operational pipelines.
• Experience integrating Docker with cloud platforms (e.g., AWS, GCP, Azure).
• Knowledge of container orchestration tools (e.g., Kubernetes, Docker Swarm).