AI Security Engineer Intern

Global Brain Corporation

. Build and improve security controls in CI/CD pipelines, including static analysis, secrets scanning, dependency checks, and automated policy enforcement .

Posted 10/14/2026full-timeSan Francisco • California • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong software engineering fundamentals and a solid understanding of security practices in CI/CD pipelines, cloud infrastructure, and containerized environments. Proficient in programming languages and familiar with security tools and methodologies relevant to application and infrastructure security.

Highest-signal resume keywords

CI/CD Pipeline SecurityKubernetes SecurityCloud Security (AWS/GCP/Azure)Infrastructure-as-Code (Terraform)Programming in Python, Go, Java, C++

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Programming in PythonProgramming in GoProgramming in JavaProgramming in C++Bash ScriptingInfrastructure-as-Code (Terraform)KubernetesDockerCloud SecuritySecrets Management

Tools & Technologies

GitHub ActionsOPAConftestKyvernoTrivySemgrep

Industry Keywords

Application SecurityPlatform SecurityInfrastructure SecurityThreat ModelingSecurity Automation

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDockerGoogle Cloud PlatformJavaKubernetesPythonTerraformC++Go

About the role

Key responsibilities & impact

Build and improve security controls in CI/CD pipelines, including static analysis, secrets scanning, dependency checks, and automated policy enforcement
Contribute to developer-facing security tooling, reusable workflows, automation, and guardrails
Help secure Kubernetes and containerized workloads, including access controls, image security, workload configuration, and deployment policies
Contribute to security baselines in Terraform and Infrastructure-as-Code, including IAM, networking, encryption, and secure defaults
Work with AWS, GCP, or Azure cloud infrastructure to identify misconfigurations and improve security visibility
Automate detection and remediation of common security issues
Participate in threat modeling, code reviews, and architecture discussions
Turn security findings into practical, actionable fixes with engineers
Improve documentation and tooling so security controls are easy for developers to understand and adopt
Work alongside security, platform, and infrastructure engineers on production AI systems

Requirements

What you’ll need

Current undergraduate student, specifically a junior or senior
Pursuing a degree in Computer Science, Engineering, Cybersecurity, or a related technical field
Strong software engineering fundamentals through coursework, internships, research, or personal projects
Experience programming in Python, Go, Java, C++, Bash, or a similar language
Exposure to or strong interest in application security, platform security, cloud security, or infrastructure security
Familiarity with or interest in Kubernetes, Docker, Terraform, GitHub Actions, and AWS/GCP/Azure
Interest in CI/CD, containers, cloud infrastructure, and deployment workflows
Coursework, projects, or internship experience involving cloud security, Kubernetes, or Infrastructure-as-Code is a bonus
Familiarity with OPA, Conftest, Kyverno, Trivy, Semgrep, or similar tools is a bonus
Experience with secrets management, IAM, or authentication and authorization systems is a bonus
Interest in software supply chain security is a bonus
Experience building developer tools or automation is a bonus
Legally authorized to work in the US
Expected graduation date between June 2027 and June 2028
Available to work full-time for the entire co-op, January 11–April 30, 2027, in San Francisco, CA

Benefits

Comp & perks

Competitive co-op compensation
Hands-on mentorship from experienced security and infrastructure engineers
Opportunity to work on real production systems used globally
Potential return-offer consideration for future internships or full-time roles
Daily lunches if onsite