DevOps Engineering Intern
Core
Support the deployment, automation, and operation of modern cloud-native and AI-enabled applications.
Role type
DevOps Engineering Intern
Builds
Cloud-native and AI-enabled applications
Domain
Automotive technology / Cloud infrastructure / MLOps
Deliverable
production ML models | infrastructure
Required skills
Linux administration, Docker, Kubernetes, Python, Java, Bash, Git, CI/CD concepts, cloud platforms (AWS/Azure/GCP)
Preferred skills
Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI/CD, Prometheus, Grafana, TensorFlow, PyTorch, MLflow
Technologies
Docker, Kubernetes, Terraform, Ansible, n8n, Python, Java, Bash, AWS, Azure, Google Cloud, Prometheus, Grafana, TensorFlow, PyTorch, MLflow
Responsibilities
Deploy and maintain applications in cloud and on-premises environments; Support containerized application deployments; Contribute to Infrastructure as Code initiatives; Help develop and maintain CI/CD pipelines; Assist with environment provisioning and configuration management; Participate in platform monitoring, logging, and troubleshooting; Assist with deployment and monitoring of machine learning and AI applications; Collaborate with Data Science and Engineering teams to operationalize ML models; Deploy and support Python and Java-based applications; Monitor application health, performance, and availability; Respond to operational alerts and assist in incident resolution.
Seniority
Intern
