Google Cloud Platform Platform Eng

  • Remote, NY
  • Posted 1 day ago | Updated moments ago

Overview

On Site
Hybrid
$80 - $83 hr
Full Time
Contract - Independent
Contract - W2

Skills

GCP
PLATFORM
KUBERNETES
INFRASTRUCTURE
INFRA
ARCHITECT
ARCHITECTED

Job Details

Position: Google Cloud Platform Platform Engineer
Location: Remote Local to NYC
Duration: 12+ month contract

Job description -
We really need someone who has senior-level experience working with Google Cloud Platform. seeking a Google Cloud Platform Platform Engineer to support the design and documentation of Google Cloud Platform architecture standards with one of our consulting clients.
This role will work closely with the platform solution architect and the client s enterprise architecture team to ensure alignment, approval, and readiness for build.

Key Responsibilities
* Architecture Documentation: Define and document Google Cloud Platform design standards, logical architectures, user groups, and best practices.
* Enterprise Alignment: Collaborate with the client s enterprise architecture team to confirm and gain approval for the proposed Google Cloud Platform platform architecture.
* Data & Infrastructure Mix: Provide expertise across both data and infrastructure components to ensure a holistic platform design.
* Transition to Build: Once architecture is approved, assist in moving the platform into the build phase.

Technical Expertise
* Broad knowledge of Google Cloud Platform resources and services (compute, storage, networking, IAM, data services, etc.).
* Ability to support platform solution architects in refining and validating architecture designs.
* Familiarity with cloud governance, security best practices, and enterprise architecture principles.

Qualifications
* Bachelor s degree in computer science, Information Systems, or related field.
* 5+ years of experience in cloud engineering or architecture, with strong Google Cloud Platform exposure.
* Experience in documenting technical standards and working with enterprise architecture teams.
* Strong understanding of both infrastructure and data components in cloud environments.

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