AI Platform Engineer Intern

Global Brain Corporation

. Help build and improve Kubernetes- and Terraform-based infrastructure across production and customer environments .

Posted 10/14/2026internshipSan Francisco • California • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong software engineering fundamentals and programming experience, with a focus on cloud infrastructure, distributed systems, and automation tools. Capable of contributing to the development and improvement of Kubernetes and Terraform-based infrastructure while ensuring performance and reliability in production environments.

Highest-signal resume keywords

KubernetesTerraformPythonCloud InfrastructureDistributed Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Engineering FundamentalsProgramming ExperiencePerformance OptimizationReliability EngineeringData Pipelines

Soft Skills

Problem-SolvingCollaborationTechnical Communication

Tools & Technologies

DockerAWSGCPAzureObservability Tools

Industry Keywords

AI InferenceMetricsLoggingMonitoringCI/CD

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaKubernetesPythonTerraformC++Go

About the role

Key responsibilities & impact

Help build and improve Kubernetes- and Terraform-based infrastructure across production and customer environments
Contribute to tooling and automation that makes infrastructure easier and safer for engineers to deploy and operate
Work with cloud infrastructure, networking, CI/CD, and containerized systems
Help build and improve metrics, logging, tracing, dashboards, and monitoring for production services
Investigate performance and reliability issues across distributed systems and AI workloads
Support infrastructure for AI inference, data pipelines, and large-scale backend services
Participate in code reviews, architecture discussions, and technical problem-solving alongside experienced engineers
Build infrastructure supporting real customer applications at scale

Requirements

What you’ll need

Current undergraduate student, specifically a junior or senior, pursuing a degree in Computer Science, Machine Learning, Data Science, or a related field
Strong software engineering fundamentals and programming experience through coursework, internships, research, or personal projects
Experience with a programming language such as Python, Go, Java, C++, or similar
Exposure to or interest in cloud infrastructure, distributed systems, operating systems, networking, or databases
Familiarity with or enthusiasm to learn Kubernetes, Terraform, Docker, AWS/GCP/Azure, and observability tools
Interest in performance, reliability, and scale
Availability to work full-time for the entire co-op, January 11–April 30, 2027, in San Francisco, CA
Legally authorized to work in the US
Expected graduation date between June 2027 and June 2028

Benefits

Comp & perks

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