49 Solutions 1

49 Solutions 1

GCP Network Architect

Canada

Sponsorship not specifiedDetected 162 days ago
GCPCloud PlatformsKubernetesDevOpsAgileNetwork EngineeringMentoring

About the role

  • The ideal candidate has extensive GCP experience, strong networking expertise, cloud development and architecture skills, and Kubernetes experience.

Responsibilities

  • Design, implement, and optimize GCP network architectures for SSC Lead cloud migrations and transformation initiatives Coach and mentor DevOps teams and architects Collaborate with PMs, Scrum Masters, and stakeholders Identify and resolve complex cloud and network issues Provide architecture guidance across hardware, host system software, software, storage, and network Application
  • Design, implement, and optimize GCP network architectures for SSC Lead cloud migrations and transformation initiatives Coach and mentor DevOps teams and architects Collaborate with PMs, Scrum Masters, and stakeholders Identify and resolve complex cloud and network issues Provide architecture guidance across hardware, host system software, software, storage, and network

Requirements

  • University degree in a related business or technology discipline, or a two-year college diploma in a related discipline
  • OR University degree in any field with 5+ years of IT experience in a related business or technology discipline
  • OR 10+ years of IT work experience in the last 15 years Degrees obtained outside Canada must have recognized Canadian credential assessment (per CICIC guidelines) Level 3 Experience
  • Please highlight the requirements you do have experience in within the allocated timeframes.
  • OR 10+ years of IT work experience in the last 15 years Degrees obtained outside Canada must have recognized Canadian credential assessment (per

Skills

  • Possession of certifications such as:
  • Google Cloud Professional Network Engineer CNCF Kubernetes Administrator (CKA) Google Cloud Professional

This listing is sourced directly from 49 Solutions 1's careers page and normalized into a canonical job model.