Cloud Platform Engineering Intern

Job summary

The Cloud Platform Engineering Intern will support the development, automation, and validation of infrastructure across Amazon Web Services (AWS), Google Cloud Platform (GCP), and Kubernetes. Responsibilities include creating tools for resource management, automating infrastructure with Infrastructure as Code tools like Terraform, and implementing AI-assisted workflows for infrastructure analysis and validation.

Qualifications

• Currently pursuing a degree or equivalent training in Computer Science, Software Engineering, Information Technology, Cybersecurity, or a related field
• Foundational programming or scripting experience in one or more languages such as Python, Go, JavaScript/TypeScript, or Bash
• Basic understanding of Linux, networking, APIs, source control, and software development practices
• Familiarity with containers and an interest in Kubernetes and cloud infrastructure
• Familiarity with Git and collaborative development workflows
• Strong analytical and problem-solving skills
• Ability to learn unfamiliar technologies and ask effective technical questions
• Clear written and verbal communication skills
• Interest in automation, developer platforms, and reliable infrastructure operations

Responsibilities

• Develop tools and scripts that query, inspect, and report on AWS, GCP, and Kubernetes resources
• Build infrastructure inventory, configuration validation, compliance reporting, and operational health-check utilities
• Help automate cloud and Kubernetes infrastructure using Infrastructure as Code tools such as Terraform
• Contribute to Configuration as Code using tools such as Helm, Kustomize, Ansible, and declarative YAML
• Develop AI-assisted workflows for infrastructure analysis, troubleshooting, configuration generation, and validation
• Implement safeguards for AI-enabled infrastructure workflows, including schema validation, policy checks, dry-run capabilities, approval gates, and human review
• Integrate infrastructure tools with cloud APIs, Kubernetes APIs, CI/CD pipelines, Git repositories, and observability platforms
• Assist with validating Kubernetes manifests, Terraform plans, deployment configurations, and cloud resource settings
• Build reports and dashboards that identify configuration drift, resource usage, security risks, operational issues, and optimization opportunities
• Write unit and integration tests for infrastructure automation and validation tools
• Document tools, workflows, configuration standards, and operational procedures
• Participate in code reviews, technical design discussions, and platform engineering planning
• Work with engineers to investigate infrastructure issues and identify opportunities for automation

Skills

Degrees

Relocation