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:

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

Required Skills and Qualifications:

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

Preferred Qualifications:

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