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AquSag Technologies Logo AquSag Technologies · IT - Software Development

Docker Developer

India, Noida · Job Posted March 22, 2026
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Job Description

We are seeking a talented Docker Developer to join our 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.

Job Responsibility

  • 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

Requirements

  • 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

Nice to have

  • 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)
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