DevOps Engineering Student

Job Details

Job Description:

We are looking for a highly motivated Computer Science, Software Engineering, Information Systems, or related student to join our DevOps and AI Infrastructure team.

As a student, you will work alongside experienced engineers responsible for building and operating large-scale development platforms, CI/CD systems, AI infrastructure, and engineering productivity solutions used by software development teams.

The role provides hands-on exposure to modern software development and infrastructure technologies, including Kubernetes, DevOps automation, software quality processes, observability solutions, and AI-powered engineering tools.

Responsibilities

Support DevOps automation tools and internal engineering platforms.

• Assist with CI/CD pipeline development, testing, and monitoring.
• Develop Python automation scripts and utilities.
• Contribute to Kubernetes-based infrastructure and containerized environments.
• Troubleshoot infrastructure and integration issues while improving observability and monitoring.
• Collaborate with engineers on AI-driven solutions and software engineering best practices.
  
  

• Student pursuing a B.Sc. or M.Sc. in Computer Science, Software Engineering, Computer Engineering, or a related field.
• At least 2 years remain until graduation.
• Basic programming knowledge and software development experience through academic projects.
• Experience with academic projects in software development.
• Familiarity with Linux.
• Strong analytical, problem-solving, communication, and teamwork skills.
  
  

• Knowledge of Python and Git (or other version control systems).
• Basic understanding of Linux, software development lifecycle, containers, Kubernetes, CI/CD, and automation concepts.
• Experience with academic, personal, or open-source projects.
• Interest in DevOps, software engineering, automation, infrastructure, and AI-driven development tools.