About the role#
We are looking for a Cloud Platform Engineering Intern to help build, automate, and validate infrastructure across AWS, GCP, and Kubernetes. This role is for someone interested in cloud engineering, platform automation, and the use of AI in infrastructure operations. You will work alongside Cloud Platform engineers to build tools that interact with infrastructure, analyze operational data, validate configurations, and produce reports. You will gain experience with production cloud platforms while learning to build automation that is secure, observable, and repeatable.
What you'll do#
- Develop tools and scripts to query, inspect, and report on AWS, GCP, and Kubernetes resources.
- Build utilities for infrastructure inventory, configuration validation, compliance reporting, and health checks.
- Automate cloud and Kubernetes infrastructure using tools like Terraform.
- Contribute to Configuration as Code using Helm, Kustomize, Ansible, and YAML.
- Develop AI-assisted workflows for infrastructure analysis, troubleshooting, and configuration generation.
- Implement safeguards for AI-enabled workflows, such as schema validation, policy checks, and human review gates.
- Integrate infrastructure tools with cloud APIs, CI/CD pipelines, Git repositories, and observability platforms.
- Assist in validating Kubernetes manifests, Terraform plans, and deployment configurations.
- Build reports and dashboards to identify configuration drift, resource usage, security risks, and optimization opportunities.
- Write unit and integration tests for automation and validation tools.
- Document tools, workflows, and operational procedures.
- Participate in code reviews, design discussions, and platform engineering planning.
- Collaborate with engineers to investigate infrastructure issues and identify automation opportunities.
What you'll need#
- 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 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.
- Experience with any of the following is helpful: AWS, Google Cloud Platform, Docker, Helm, Kustomize, Terraform, Ansible, CI/CD platforms (GitHub Actions, Jenkins, Argo CD), REST APIs, observability tools, large language models, AI agents, automated testing, or cloud security concepts like IAM and secrets management.
Location & details#
- This is a full-time, paid internship.
- The role is remote and based in Edmonton, Alberta, Canada.
- Employment is on a rolling term basis, scheduled to end in May 2027.
About People Inc.
People Inc. operates as a digital and print publisher in the United States. It manages a portfolio of over 40 brands, including titles like Food and Wine, Travel and Leisure, and Allrecipes. The company reaches more than 175 million consumers each month. It is based in New York City and functions as an operating business of IAC.
How to get in at People Inc.
Applying early to People Inc. gives you a significant advantage because recruiters review applications in the order they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can submit your materials before the applicant pile grows. You gain a better chance of being seen by the team when you are among the first to apply. Reaching out to the right people often yields better results than submitting to a general queue. Intern Insider surfaces the recruiters behind the company roles so you can contact them directly to ask about the position or a referral. This direct approach materially improves your response rates compared to standard online submissions.
