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DevOps Engineer – Student
Intel Corporation. Support DevOps automation tools and internal engineering platforms .
Core Competencies
Role fitCore 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 resumeApplicant 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 & technologiesKubernetesLinuxPython
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