Revolutionize your charging experience with our Contactless Wireless Charging Stations – the market. Backed by Techstars.
About the role
We are seeking a Cloud Platform Engineering Intern to help build, automate, and validate infrastructure across Amazon Web Services (AWS), Google Cloud Platform (GCP), and Kubernetes environments. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
Job Title
Cloud Platform Engineering Intern
Job Description
People Inc. is America’s largest digital and print publisher. Our 40+ iconic and fast-growing brands harness the best intent-driven content, the fastest sites, and the fewest ads to help nearly 200 million people every month, including 95 percent of US women, make decisions, take action, and find inspiration. People Inc. brands include PEOPLE, Better Homes & Gardens, Verywell, FOOD & WINE, The Spruce, Allrecipes, Byrdie, REAL SIMPLE, Investopedia, Southern Living and more.
We are seeking a Cloud Platform Engineering Intern to help build, automate, and validate infrastructure across Amazon Web Services (AWS), Google Cloud Platform (GCP), and Kubernetes environments.
This role is ideal for someone interested in cloud engineering, platform automation, and the emerging use of AI in infrastructure operations. The intern will work alongside Cloud Platform engineers to build tools that interact with infrastructure, collect and analyze operational data, validate configurations, and produce actionable reports.
The position will have a strong focus on Kubernetes, Infrastructure as Code, Configuration as Code, and AI-assisted...
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