Cloud Engineering Intern (AI) - Remote

What We’re About

At CentralSquare, we don’t just build software - we power public servants and uplift communities with Hero-Grade Technology. Every line of code, every feature we deliver helps heroes across North America protect, serve, and save lives. When you join us, you become part of a mission-driven team creating technology that makes communities safer and stronger.

Your Growth Matters. We believe heroes deserve opportunities to rise. That’s why we invest in your career with mentorship, learning programs, and clear paths for advancement. If you’re motivated, there’s no limit to how far you can go.

Your Commitment Deserves Reward. We offer competitive compensation and a benefits package designed to support your life inside and outside of work—tuition reimbursement, parental leave, paid volunteer hours, and unlimited PTO. Plus, our flexible work environment gives you the freedom to balance your heroic work with personal well-being, whether you’re in the office or remote.

Join us and help build the tools that power real-life heroes. Together, we make a difference.

The Opportunity

This will be a 12‑week (40 hours per week) internship starting on June 8th, 2026.

We are looking for a Cloud Engineering Intern who is excited about using AI as a core part of their engineering workflow.

In this role, you will work on real cloud infrastructure while leveraging AI tools to:

• accelerate building pipelines
• improve troubleshooting
• automate repetitive work
• enhance decision-making

This is not a traditional internship — we expect you to actively use AI to amplify your productivity and impact.

What You’ll Work On

• Assist in managing AWS infrastructure (EC2, IAM, VPC, S3)
• Support Kubernetes (EKS) workloads and deployments
• Contribute to Infrastructure as Code (Terraform / OpenTofu / CDK)
• Build small automation tools using AI assistance
• Improve monitoring and alerting (Datadog / CloudWatch)
• Work with CI/CD pipelines (Azure DevOps / GitHub Actions)
• Participate in incident debugging using AI-assisted analysis
• Document systems using AI to improve clarity and speed

Requirements:

Basic Qualifications

• Currently pursuing a degree in Computer Science, Engineering, or similar
• Basic understanding of cloud computing (AWS preferred)
• Familiarity with Linux / command line
• Understanding of Git
• Ability to work 40 hours per week during the summer

What We’re Looking For

• Strong problem-solving mindset
• Curiosity about how systems work internally
• Ability to learn quickly using AI + documentation
• Ownership mindset (even as an intern)
• Good communication skills

AI Expectations

You are expected to:

Use AI tools (e.g., ChatGPT, Claude, GitHub Copilot) to:

• Debug issues
• Generate scripts
• Understand unfamiliar systems
• Accelerate learning

Demonstrate prompt engineering skills:

• Asking precise technical questions
• Iterating on responses
• Validating AI outputs before use

Use AI responsibly:

• Verify correctness of generated code
• Avoid blindly copying outputs
• Understand security implications

Show how AI improves your workflow:

• Faster troubleshooting
• Better documentation
• Automation ideas