Deploy and maintain cloud and on-premises applications using Docker and Kubernetes.
Develop CI/CD pipelines and Infrastructure as Code using Terraform or Ansible.
Support machine learning model deployment and MLOps workflows.
Monitor application health, troubleshoot issues, and participate in incident resolution.
What they're looking for
Currently pursuing or recently completed degree in Computer Science, IT, or related field.
Understanding of Linux, Docker, Kubernetes, and Git version control.
Experience with Python, Java, or Bash programming.
Familiarity with AWS, Azure, or Google Cloud platforms.
Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
We are seeking a motivated DevOps Intern to support the deployment, automation, and operation of modern cloud-native and AI-enabled applications. This role is ideal for candidates with foundational experience in Linux, cloud platforms, containerization, and software development who are eager to grow their skills in DevOps, MLOps, Kubernetes, and AI infrastructure.
The successful candidate will work closely with Software Engineers, Data Scientists, DevOps Engineers, and Product teams to help build, deploy, monitor, and maintain applications and infrastructure while learning industry best practices in automation, reliability, and operational excellence.
Key Responsibilities
DevOps & Platform Support
Assist in deploying and maintaining applications in cloud and on-premises environments.
Support containerized application deployments using Docker and Kubernetes.
Contribute to Infrastructure as Code (IaC) initiatives using tools such as Terraform or Ansible.
Help develop and maintain CI/CD pipelines for automated testing and deployments.
Assist with environment provisioning, configuration management, and automation tasks.
Participate in platform monitoring, logging, and troubleshooting activities.
AI / MLOps Support
Assist with deployment and monitoring of machine learning and AI applications.
Support AI workflows including model deployment and inference services.
Collaborate with Data Science and Engineering teams to operationalize ML models.
Learn and apply MLOps best practices including model versioning and monitoring.
Support AI infrastructure and resource optimization activities.
Application Deployment & Operations
Deploy and support Python and Java-based applications.
Assist in maintaining development, testing, and production environments.
Support workflow automation tools such as n8n and related platforms.
Troubleshoot application and infrastructure issues under guidance from senior engineers.
Create and maintain deployment documentation and operational procedures.
Monitoring & Reliability
Monitor application health, performance, and availability.
Respond to operational alerts and assist in incident resolution.
Participate in root cause analysis and continuous improvement initiatives.
Help improve observability through dashboards, logging, and alerting systems.
Collaboration
Work closely with engineering, product, and data teams on project delivery.
Participate in technical discussions, planning sessions, and sprint activities.
Follow organizational security, reliability, and DevOps standards.
Document processes, procedures, and technical solutions.
Preferred Qualifications
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 and containerized applications.
Exposure to Kubernetes concepts and orchestration.
Experience with Python, Java, Bash, or similar programming languages.
Familiarity with Git and version control workflows.
Basic understanding of CI/CD concepts and automation tools.
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
Exposure to machine learning, AI applications, or MLOps concepts is a plus.
Strong problem-solving, communication, and collaboration skills.
Nice-to-Have Skills
Personal, academic, or internship projects involving Kubernetes or cloud deployments.
Experience with Terraform, Ansible, Jenkins, GitHub Actions, or GitLab CI/CD.
Familiarity with monitoring tools such as Prometheus and Grafana.
Exposure to AI/ML frameworks such as TensorFlow, PyTorch, or MLflow.
Experience building automation scripts using Python.
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
E-verify Participation
Right to Work
From Copart's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
