We are looking for a DevOps Engineer Intern who is passionate about infrastructure, automation, and cloud technologies, and eager to gain hands-on experience in real-world DevOps environments.

This opportunity is ideal for 3rd–4th year university students with a technical background who already have some theoretical knowledge of DevOps practices and want to grow their skills while combining work with their studies.

Requirements

• 3rd–4th year student in Computer Science, Software Engineering, or a related technical field

• Basic understanding of Linux systems

• Basic experience running Linux in a local environment (VM, WSL, or server)

• Familiarity with at least one scripting language (Bash, Python, or similar)

• Basic knowledge of networking concepts

• Understanding of containerization concepts (Docker is a plus)

• Basic understanding of CI/CD concepts

• Familiarity with any cloud platform (AWS, GCP, Azure, or others) is a plus

• Hands-on experience through personal projects, home labs, or university coursework

• Good problem-solving skills and strong willingness to learn

• Ability to combine internship with university studies

• English level: Upper-Intermediate (B2) or higher
• Interest in applying AI tools to software engineering and DevOps workflows
  

Nice to Have

• Experience with Git and version control workflows

• Experience with Infrastructure as Code tools (Terraform, Pulumi, etc.)

• Experience working with Kubernetes

• Personal DevOps, cloud, or infrastructure-related projects
• Experience using AI assistants (ChatGPT, GitHub Copilot, Claude, etc.) for coding, troubleshooting, or learning

When applying, please include:

• A link to your GitHub profile, or

• A short description of a technical project, home lab, or coursework where you worked with Linux, containers, CI/CD, or cloud technologies.

Job Responsibilities

• Assist with maintaining and improving infrastructure

• Support the setup and maintenance of CI/CD pipelines

• Work with containerization and orchestration tools (Docker, Kubernetes)

• Help automate routine operational tasks

• Participate in monitoring, troubleshooting, and system reliability improvements

• Collaborate with engineers to improve development and deployment workflows

• Learn and apply DevOps best practices in real projects