Tasks
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.
•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.
Requirements
•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.
Job Type: Student / Intern
Shift: Shift 1 (Israel)
Primary Location: Israel, Petah-Tikva
Additional Locations: Israel, Haifa
Work Model: This role will require an on-site presence.
Job posting details (such as work model, location or time type) are subject to change.
