Cloud Engineer Intern

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Job Description

Job Description

Cloud Engineer Intern

Responsibilities

Long Description

Develop and maintain cloud infrastructure using Terraform (modules, state management, CI/CD integration).
Write Python scripts for automation, tooling, and small data/ML-related tasks.
Assist in building and maintaining CI/CD pipelines (code builds, tests, deployments).
Collaborate with developers to design scalable, secure, and reliable cloud solutions (AWS or GCP).
Monitor, troubleshoot, and optimize cloud resources and deployments.
Document architectures, runbooks, and standard operating procedures.
Stay current with cloud and AI tooling best practices and evolving technologies.

Requirements

Basic hands-on experience with AWS or Google Cloud Platform.
Proficiency in Terraform (writing modules, variables, outputs, state management, backends).
Proficient in Python; ability to write scripts for automation and tooling.
Basic understanding of CI/CD concepts and practices.
Some exposure to AI coding or ML workflows is a plus.
Strong English writing and communication skills.
Ability to work effectively in a team and learn quickly.
Optional: Knowledge of containerization (Docker), Kubernetes, or monitoring tools.

AI Coding Skills (nice-to-have Or Mandatory Depending On Role)

Experience using AI code assistants/tools (e.g., Claude code, Codex, GitHub Copilot) to generate, review, and optimize code.
Integrating AI-generated code into development workflows; evaluating quality, safety, and licensing.
Writing AI/ML-enabled automation scripts (data preprocessing, model inference scaffolding, feature extraction).
Familiarity with prompting strategies to improve AI code generation accuracy.
Use of AI to assist with code reviews, bug triage, and documentation generation.
Version control practices for AI-assisted development (commits, pull requests, code provenance).
Basic understanding of responsible AI practices, including bias mitigation and secure model deployment considerations.