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# Senior Google Cloud Platform Architect

- **Company:** Eliassen Group
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $187,200 - $208,000
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cloud Engineering, Continuous Integration, Domain Name System (DNS), Data Flow Control, Github, Identity and Access Management, Subnetting, Virtual Private Networks (VPN), JSON, Modular Design, OpenID, Role-Based Access Control, Zero Trust Network Access, Security Assertion Markup Language (SAML), YAML, Data Logging, Network Switches, Google Cloud, Okta, IT Architecture, Multi-Cloud, Amazon Virtual Private Cloud (VPC), Backend, AI Platforms, Git Flow, Infrastructure Automation Frameworks, Information Technology, Dynamic Data, Drift Detection, Google Gemini, Terraform, Splunk, Devsecops, Jenkins, Static Application Security Testing, Dynamic Application Security Testing
- **Published:** November 10, 2026
- **Apply:** https://www.dice.com/job-detail/d7f4c9c2-6e15-4daa-ab31-c7afcb7ec5dd

## About the Role

* 8+ years in cloud engineering, IT infrastructure, and DevSecOps with 4+ years as Lead Google Cloud Platform Engineer or Cloud Architect in complex multi-tenant environments.
 * Proven Google Cloud Platform architecture with Shared VPC, Interconnect or HA VPN, Palo Alto NGFW, VPC-SC perimeters, and GKE governance.
 * Practical understanding of FedRAMP Moderate/High, Assured Workloads, DoD Iron Bank, and continuous monitoring practices.
 * Preferred multi-cloud awareness across AWS or Azure for identity federation and hybrid networking.
 * Preferred Terraform expertise in modular design, remote state, plan/apply automation, dynamic data parsing, and drift resolution.
 * Advanced knowledge of GitHub Actions, Jenkins, and branching strategies for immutable deployments.

Education Requirements:

 * Must possess or be eligible for a Public Trust clearance.
 * Preferred certifications: Google Cloud Professional Cloud Architect and Professional Cloud Security Engineer.

## Description

Our client seeks a Senior Google Cloud Platform Architect to serve as the principal technical authority for enterprise cloud architecture, DevSecOps, and platform automation across multi-tenant environments. The role provides governance over Google Cloud Platform landing zones, zero-trust patterns, and continuous authorization practices spanning Commercial, FedRAMP Moderate, and FedRAMP High enclaves. The architect will standardize Terraform-based automation, integrate CI/CD and continuous compliance, and lead portal-to-API orchestration for self-service provisioning. The role also defines secure integration patterns for enterprise AI services and enforces ethical AI controls., * Design, maintain, and govern multi-folder Google Cloud Platform landing zones using Assured Workloads for FedRAMP Moderate and High compliance with organizational policy, data residency, and CMEK via Cloud KMS.

 * Define and enforce boundaries between shared services management and tenant application workloads, including firewalls, HA VPN, DNS, Infoblox, and connectivity hubs.
 * Author and standardize modular Terraform with JSON/YAML parameters for landing zone vending, subnet allocation, and zero-trust IAM roles.
 * Implement VPC Service Controls, Workload Identity Federation, service account governance, and fine-grained RBAC.
 * Architect CI/CD with GitHub Actions and Jenkins, including SAST, DAST, and dependency scanning in PR workflows.
 * Establish continuous authorization baselines aligned to NIST SP 800-53 and FedRAMP with automated compliance validation and drift detection.
 * Design centralized logging and monitoring with Cloud Logging sinks, Pub/Sub, Dataflow, and downstream platforms such as Elastic Cloud or Splunk.
 * Lead integration between user-facing portals and backend Google Cloud Platform APIs for self-service provisioning with standardized orchestration, state tracking, and error handling.
 * Implement cross-boundary authentication using SAML 2.0, Entra ID, Keycloak, and OIDC federation.
 * Define enterprise AI architecture standards for Vertex AI and Gemini, including PSC, VPC-SC, and CMEK for secure datasets and interactions.
 * Oversee ethical AI controls, DLP, prompt security, and continuous monitoring of AI payloads.