Secure Google Cloud Architect for DoD and Fed Projects

Jobtailor; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Jobtailor is seeking a senior cloud architect to lead secure Google Cloud landings zones and architecture for federal and DoD customers. You will design IAM, hybrid connectivity, Terraform modules, and CI/CD pipelines while mentoring engineers and guiding proposals.

The role emphasizes experience with GCP services (Compute Engine, GKE, Cloud Run, BigQuery, Vertex AI) and producing architecture diagrams for executive audiences in regulated environments.

Qualifications

• Proven experience designing secure Google Cloud architectures in regulated environments.
• Strong ability to create architecture diagrams and present decisions to engineers and executives.
• Hands-on experience with Terraform, containers/Kubernetes, and Git-based CI/CD pipelines.

Responsibilities

• Lead design and implementation of secure Google Cloud landing zones and resource hierarchies.
• Architect solutions using Compute Engine, GKE, Cloud Run, BigQuery, Vertex AI, and related services.
• Design hybrid connectivity, IAM architectures, Terraform modules, CI/CD/GitOps, and observability.
• Support Google Distributed Cloud and air-gapped environments.
• Conduct architecture workshops, design reviews, and customer briefings.
• Mentor engineers and contribute to proposals and technical volumes.
• Support RMF activities end-to-end.
• Support federal and DoD customers through the L100 AI Landing Zones capability.

Skills

GCP expertise

Terraform module development

CI/CD/GitOps

Active Secret clearance

GCP Architect certification

Multi-cloud

Vertex AI

Kubernetes

Compute Engine

BigQuery

Cloud Run

Hybrid networking

Security architecture

Tools

Terraform

GKE

CI/CD tools

Git

Job description

Jobtailor is seeking a senior cloud architect to lead secure Google Cloud landings zones and architecture for federal and DoD customers. You will design IAM, hybrid connectivity, Terraform modules, and CI/CD pipelines while mentoring engineers and guiding proposals.

The role emphasizes experience with GCP services (Compute Engine, GKE, Cloud Run, BigQuery, Vertex AI) and producing architecture diagrams for executive audiences in regulated environments.