Sr. Google Cloud Platform Engineer

WIDENET CONSULTING, LLC
Renton, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 187K

Job location

Remote
Renton, United States of America

Tech stack

Data analysis
Computing Platforms
Cloud Computing
Encodings
Continuous Integration
Programming Tools
Identity and Access Management
Network Security
Azure
Systems Integration
Datadog
Google Cloud Platform
Cloud Platform System
Multi-Cloud
Firebase
Gitlab
Infrastructure Automation Frameworks
Gsuite
Terraform

Job description

Location: This is a hybrid position that requires the candidate to work on-site in Renton, WA, on Tuesday, Wednesday, and Thursday, and to work remotely on Mondays and Fridays., The cloud platform underpins how services are built, deployed, and operated across the organization. As the platform expands, integrating Google Cloud Platform (GCP) and Google Workspaces into a cohesive, governed, and automated ecosystem is critical to enabling secure collaboration, scalable infrastructure, and consistent developer experiences.

As a Senior Google Platform Engineer, you will design and implement the platform capabilities that unify identity, collaboration, and cloud infrastructure across GCP and Workspace technologies, like Analytics, Firebase, Maps, and Play. You will ensure these services are not managed as isolated tools, but as integrated components of a standardized, self-service platform.

This role operates at the platform architecture and implementation layer, translating identity, access, collaboration, and infrastructure requirements into automated, scalable, and secure platform patterns. Success in this role means teams can provision, collaborate, and operate across Google services using consistent, automated workflows, without manual setup or fragmented configurations., * Architect and implement GCP project, folder, and organization structures aligned with platform standards

  • Implement Google managed accounts for GCP project, folder, and organization structures aligned with platform standards
  • Define and enforce identity and access patterns using IAM, service accounts, and federation
  • Build automated workflows for project provisioning, lifecycle management, and decommissioning
  • Ensure GCP environments are created through standardized, auditable, and repeatable processes, * Design and automate Google Workspace identity, group, and access models
  • Integrate Workspace with cloud identity systems (e.g., Azure AD / Entra ID, SSO, federation)
  • Standardize provisioning and lifecycle of:
  • Users and groups
  • Shared drives and collaboration resources
  • Access controls aligned to platform guardrails
  • Ensure Workspace usage aligns with security, compliance, and governance standards, * Build and enforce identity-first platform patterns across GCP, Workspace, and other cloud systems
  • Automate role-based access, group management, and policy enforcement
  • Ensure consistent identity propagation across:
  • Infrastructure
  • CI/CD systems
  • Observability platforms
  • Reduce reliance on manual access management and exception handling, * Implement Infrastructure-as-Code (IaC) and automation for GCP and Workspace integrations
  • Encode platform guardrails using policy frameworks and automation tools
  • Ensure provisioning, access, and configuration changes occur through approved, observable workflows
  • Reduce manual intervention by expanding automation coverage, * Ensure GCP and Workspace integrate seamlessly with:
  • CI/CD platforms (e.g., GitLab)
  • Infrastructure tools (e.g., Terraform Cloud)
  • Observability platforms (e.g., Datadog)
  • Enable consistent patterns across multi-cloud and multi-tool environments, * Partner with engineering teams to identify friction in platform usage
  • Improve usability through standard patterns, templates, and documentation
  • Ensure platform capabilities are easier to adopt than custom solutions
  • Guide teams toward platform-first usage models

Requirements

  1. 5-8+ years of experience in cloud, platform, or infrastructure engineering
  2. Hands-on experience with Google Cloud Platform (GCP) architecture and services
  3. Experience with Google Workspace administration and integration
  4. Strong understanding of:
  • Identity and access management (IAM, SSO, federation)
  • Cloud organization and resource hierarchy design
  • Network and security fundamentals

Platform & Automation

  • Experience building automated, reusable platform capabilities
  • Proficiency with Infrastructure-as-Code (Terraform, etc.)
  • Strong scripting and automation skills
  • Experience integrating identity and access controls into automated workflows

Cross-Platform Integration

  • Experience integrating GCP with:
  • Enterprise identity providers (e.g., Azure AD / Entra ID)
  • CI/CD and developer tooling ecosystems
  • Understanding of multi-cloud and hybrid platform architectures

  • Ability to lead technical design and influence platform standards
  • Experience mentoring engineers and reviewing platform designs
  • Strong communication skills across engineering, security, and leadership teams

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