DevOps Engineering Intern

Posted 5 Days Ago
Be an Early Applicant
Headquarters, AZ, USA
In-Office
Internship
Automotive
The Role
Support deployment, automation, and operation of cloud-native and AI-enabled applications. Assist with containerized deployments, IaC, CI/CD pipelines, environment provisioning, monitoring, and MLOps tasks while collaborating with engineers and data scientists.
Summary Generated by Built In

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. 

Position Overview
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.

 

#LS-MS1

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

Skills Required

  • Foundational experience in 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
  • Ability to deploy and support Python and Java-based applications
  • Currently pursuing or recently completed a degree in Computer Science, IT, Software Engineering, or related field
  • Exposure to machine learning, AI applications, or MLOps concepts
  • 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
  • Strong problem-solving, communication, and collaboration skills
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Dallas, TX
5,001 Employees
Year Founded: 1982

What We Do

Copart, a global online auto auction company headquartered in Dallas, Texas is a top-performing S&P 500 company, as noted by The Wall Street Journal. Copart is a global technology leader in the online vehicle auction industry that connects its buyers and sellers via its patented cutting-edge VB3 technology. With a passion for excellence, Copart has a great company culture and strong dedication to our employees. Founded in 1982, Copart connects more than 750,000 buyers and sellers from over 200 locations around the world. With our innovative technology, we remarket salvage and clean title vehicles to dealers, dismantlers, rebuilders, exporters and end users through a multi-channel online internet platform. Copart’s diverse and extensive inventory features more than 175,000 vehicles available online every day, including early and late-model cars, classics, trucks, SUVs, motorcycles, boats, jet-skis, snowmobiles and RVs. Copart sells vehicles on behalf of insurance companies, banks, finance companies, fleet owners, car dealerships, cars sourced from the general public and others. Because we are a 100% online auto auction company, Copart Members can browse our incredible inventory, set their own price and get great deals on vehicles through their home computer, smartphone or other mobile device. Copart’s vehicles can range in condition from damaged vehicles that can be used as rebuild projects to like-new, used vehicles. Copart is the parent company to a portfolio of auto service companies, including CashForCars.com, CrashedToys, and National Powersport Auctions (NPA). We currently operate in the United States (Copart.com), Canada (Copart.ca), the United Kingdom (Copart.co.uk), the Republic of Ireland (Copart.ie), Brazil (Copart.com.br), Germany (Copart.de), the United Arab Emirates, Oman and Bahrain (Copartmea.com), Spain (Copart.es), and Finland (copart.fi).

Similar Jobs

Wells Fargo Logo Wells Fargo

Lead Product Strategy Manager

Fintech • Financial Services
Hybrid
Phoenix, AZ, USA
205000 Employees
119K-206K Annually

Wells Fargo Logo Wells Fargo

Lead Product Strategy Manager

Fintech • Financial Services
Hybrid
Chandler, AZ, USA
205000 Employees
119K-206K Annually

PwC Logo PwC

Internal Communications Manager

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Remote or Hybrid
64 Locations
370000 Employees
212K-244K Annually
Easy Apply
Hybrid
Scottsdale, AZ, USA
4405 Employees
181K-211K Annually

Similar Companies Hiring

Cox Enterprises Thumbnail
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Atlanta, GA
50000 Employees
UL Solutions Thumbnail
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Chicago, IL
15000 Employees
HERE Technologies Thumbnail
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Amsterdam, NL
6000 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account