
DevOps Engineering Intern
Copart, Inc.2 hours ago
Dallas, TX, USAIntern
Responsibilities
- Assist with deploying and maintaining applications in cloud and on-premises environments.
- Support containerized deployments using Docker and Kubernetes.
- Contribute to Infrastructure as Code, environment provisioning, configuration management, and automation using Terraform or Ansible.
- Help develop and maintain CI/CD pipelines for automated testing and deployments.
- Assist with monitoring, logging, dashboards, alerting, troubleshooting, incident resolution, and root cause analysis.
- Support deployment and monitoring of machine learning and AI applications, including model inference services and MLOps workflows.
- Deploy and support Python- and Java-based applications and maintain development, testing, and production environments.
- Support workflow automation using n8n and related platforms.
- Create and maintain deployment documentation, operational procedures, and technical solutions.
- Collaborate with engineering, product, and data teams in technical discussions, planning sessions, and sprint activities.
Requirements
- Currently pursuing or recently completed a degree in Computer Science, Information Technology, Software Engineering, or a related field.
- Understanding of Linux administration and command-line tools.
- Familiarity with Docker, containerized applications, Kubernetes concepts, Git, and version control workflows.
- Experience with Python, Java, Bash, or similar programming languages.
- Basic understanding of CI/CD concepts and automation tools.
- Knowledge of AWS, Azure, or Google Cloud.
- Exposure to machine learning, AI applications, or MLOps concepts is preferred.
- Strong problem-solving, communication, and collaboration skills.
- Personal, academic, or internship projects involving Kubernetes or cloud deployments are desirable.
- Experience with Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI/CD, Prometheus, Grafana, TensorFlow, PyTorch, or MLflow is a plus.