Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Intel Corporation

DevOps Engineer – Student

Intel Corporation

. Support DevOps automation tools and internal engineering platforms .

Posted 10/26/2026part-timePetah-Tikva • IsraelEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in Python automation scripting and familiarity with CI/CD pipeline development, Kubernetes, and Linux environments. Strong analytical and problem-solving skills are essential for troubleshooting infrastructure issues and collaborating on AI-driven solutions.

Highest-signal resume keywords
Python Automation ScriptingCI/CD Pipeline DevelopmentKubernetes InfrastructureLinux FamiliarityVersion Control Systems (Git)

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PythonCI/CDKubernetesLinuxAutomationSoftware Development LifecycleContainersTroubleshootingObservabilityMonitoring
Soft Skills
Analytical SkillsProblem-SolvingCommunicationTeamwork
Industry Keywords
DevOpsSoftware EngineeringAI-Driven DevelopmentInfrastructureAutomation Concepts

Tech Stack

Tools & technologies
KubernetesLinuxPython

About the role

Key responsibilities & impact
  • 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
  • Work alongside experienced engineers building and operating large-scale development platforms, CI/CD systems, AI infrastructure, and engineering productivity solutions

Requirements

What you’ll need
  • 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) preferred
  • Basic understanding of Linux, software development lifecycle, containers, Kubernetes, CI/CD, and automation concepts preferred
  • Experience with academic, personal, or open-source projects preferred
  • Interest in DevOps, software engineering, automation, infrastructure, and AI-driven development tools preferred