Cloud Engineering Intern (Master’s) – Remote

Vosyn

Toronto

Hybrid

CAD 36,000 - 52,000

Part time

14 days+
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Job summary

Vosyn is seeking a Cloud Engineering Intern to design, deploy, and maintain cloud-based solutions. You will work with a team to scale infrastructure, monitor performance, and optimize costs while documenting architecture and processes.

This role targets Master’s students in computer science or cloud computing and requires hands-on GCP, Kubernetes, Terraform, and Python skills. The internship offers remote work with hybrid options in Toronto, a 3-month duration, and an hourly compensation,

Qualifications

  • Master’s program enrollment or completion is mandatory.
  • Strong understanding of Cloud Computing and DevOps.
  • Some understanding of MLOps.
  • Experience with GCP is preferred (AWS and Azure is acceptable).
  • Experience in Kubernetes orchestration.
  • Experience in Terraform scripting.
  • Proficiency in Python scripting.
  • Strong problem solving and troubleshooting skills.
  • Able to work in a collaborative environment.
  • Passionate about working at a startup.

Responsibilities

  • Assist in the design and implementation of cloud infrastructure and services.
  • Work with Google Cloud Platform to deploy and manage resources.
  • Monitor and optimize cloud environments for performance, security, and cost-efficiency.
  • Document cloud architecture and operational procedures.
  • Stay up-to-date with emerging Cloud, DevOps and MLOps practices.

Skills

Cloud Computing
DevOps
MLOps
GCP
Kubernetes
Terraform
Python scripting

Education

Master's degree in Computer Science / Cloud Computing

Tools

Google Cloud Platform (GCP)
Kubernetes
Terraform

Job description

Vosyn is seeking a Cloud Engineering Intern to design, deploy, and maintain cloud-based solutions. You will work with a team to scale infrastructure, monitor performance, and optimize costs while documenting architecture and processes.

This role targets Master’s students in computer science or cloud computing and requires hands-on GCP, Kubernetes, Terraform, and Python skills. The internship offers remote work with hybrid options in Toronto, a 3-month duration, and an hourly compensation,

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