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Worldline Hiring! Full Time Cloud Engineer Intern in Federal Territory - Ricebowl

Cloud Engineer Intern

Worldline

Undisclosed

Full Time

KL City, Federal Territory

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Working Location

  • Kuala Lumpur Federal Territory Malaysia

Job Description

Responsibilities

Long Description

Responsibilities

  • 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.

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