Copart, Inc.

DevOps Engineering Intern

Copart, Inc.
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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.

Tech Stack

AnsibleAWSAzureBashDockerGitGitHub ActionsGitLab CI/CDGoogle CloudGrafanaJavaJenkinsKubernetesLinuxMLflowPrometheusPythonPyTorchTensorFlowTerraform

Categories

Copart, Inc.

About Copart, Inc.

5,001-10,000 employees
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