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Marvell Technology Logo

Cloud Platform Engineer Intern - Master's Degree

Marvell Technology

$26 - $51
Nov 7, 2025
Santa Clara, CA, United States of America
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Marvell is looking to optimize and innovate its cloud and on-premises systems by leveraging new talent for infrastructure projects, automation, and DevOps practices.

Requirements

  • Strong programming skills in Python, Java, C++, Shell scripting, Go with familiarity in more language would complement.
  • Familiarity with cloud fundamentals - virtualization, containers, and cloud deployment models (AWS, Azure, or GCP)
  • Adaptable to work in Linux environments and familiar with basic networking concepts.
  • Exposure to DevOps practices, CI/CD concepts, or Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible) through coursework or projects.

Responsibilities

  • Contribute to cloud and on-premises infrastructure projects that improve performance, scalability, and efficiency.
  • Work on containerization for High-Performance Computing (HPC) and related automation efforts.
  • Help design workflows that integrate with CI/CD pipelines and enhance infrastructure automation.
  • Support cloud cost optimization, monitoring, and alerting initiatives.
  • Participate in code reviews, bug fixes, and performance improvement discussions.
  • Document standard operating procedures (SOPs) and technical workflows for smooth operations.
  • Research and experiment with emerging cloud and DevOps tools to enhance reliability and automation.

Other

  • Pursuing a Master's degree in Computer Science, Software Systems, or a related discipline.
  • Analytical mindset, curiosity to learn, and enthusiasm for building scalable, automated systems.
  • The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions.
  • Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at .
  • candidates do not use AI tools (e.g., transcription apps, real-time answer generators like ChatGPT, CoPilot, or note-taking bots) during interviews.