Crossing Hurdles is seeking a DevOps Engineer with expertise in Docker to design and maintain scalable AI training environments. The role involves developing CI/CD pipelines, collaborating with machine learning engineers, and ensuring the performance and security of containerized systems.
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