Cloud Infrastructure Intern
G
GuidePoint SecurityCybersecurity
Be physically located within the United States during the entire duration of the internship, Work 25-29hrs/wk Monday-Friday supporting the Eastern Time Zone; Eastern/Central time zone preferred.Part-TimeEntry
Salary20 USD per hour
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Job Details
- Required Skills
- AWSPythonBashGCPMicrosoft AzureTerraformAnsibleGitHub ActionsCloudFormation
Requirements
- Have hands-on experience with at least one IaC tool, such as Terraform, Ansible, CloudFormation, or equivalent.
- Have exposure to scripting or programming with Python, Bash, or similar.
- Be currently enrolled in, or recently graduated with, a degree in computer science, engineering, or a related field; preferred.
- Have an interest in automation and infrastructure.
- Have enthusiasm for cloud infrastructure, DevOps practices, and security tool evaluation.
- Have strong written and verbal communication skills for technical documentation and client-facing materials.
- Be comfortable building real infrastructure in a fast-paced, practitioner-led environment.
- Work 25-29 hours per week, Monday-Friday, supporting the Eastern Time Zone.
- Have a personal computing device and access to high-speed internet during working hours.
Responsibilities
- Assist in designing and deploying multi-cloud lab environments across AWS, Azure, and GCP using Terraform and Ansible under mentorship.
- Contribute to CI/CD pipeline development using GitHub Actions to provision, configure, and tear down lab environments.
- Write, test, and maintain reusable IaC modules in a version-controlled environment.
- Support environment builds for security tool POC and POV engagements from requirements through teardown.
- Maintain version-controlled lab documentation and runbooks.
- Support evaluations of security tools including vulnerability management, CNAPP, EDR, application security, and AI security products.
- Assist in developing agentic harnesses that exercise vendor products against client-defined test cases, integrating with AI and LLM APIs.
- Help document test cases derived from client requirements and real-world use cases.
- Contribute to POC and POV findings reports and participate in client walkthrough sessions under mentorship.
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