Cloud Platform Engineering Intern

Job not on LinkedIn

🔥 34 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

⚪️ Entry-level

☁️ Cloud Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Dotdash Meredith

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

📣 Marketing

🍽️ Food & Beverage

🏥 Healthcare

Marketing • Food & Beverage • Healthcare

Dotdash Meredith is America's largest digital and print publisher, known for creating trusted content across a wide range of topics including health, finance, beauty, and home. With a commitment to providing the experiences people want and the answers they need, Dotdash Meredith reaches nearly 200 million people each month through its various brands such as PEOPLE, Investopedia, Serious Eats, and Byrdie. The company offers innovative tools such as the Intent Targeting Tool to enhance its digital advertising capabilities. Dotdash Meredith is recognized for its deep expertise in editorial content and premium publishing, making it a trusted source for both inspiration and essential information.

📋 Description

• Develop tools and scripts to 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 Terraform and other Infrastructure as Code tools • Contribute to Configuration as Code using 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 identifying 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

🎯 Requirements

• 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, Bash, or similar • Basic understanding of Linux, networking, APIs, source control, and software development practices • Familiarity with containers and 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

🏖️ Benefits

• Internship scheduled to end in May 2027 • Reasonable accommodations for qualified individuals with disabilities • Equal employment opportunities regardless of age, disability, race, gender, sex, sexual orientation, or other characteristics protected by applicable laws