GCP Cloud Engineer — Federal Cloud Migrations & Security

Accenture-Federal-Services-2; Arlington (VA); On-site; USD 100,000 - 203,000; Full time

Job summary

Accenture Federal Services in Arlington, VA is seeking an experienced Google Cloud Platform (GCP) Cloud Engineer to lead large-scale workload migrations to GCP for federal clients. You will architect, build, and deploy secure, scalable cloud infrastructure to support mission-critical workloads.

Join a team that emphasizes security and innovation, with opportunities to work on BigQuery, Vertex AI, and secure zero-trust architectures, while optimizing cost and performance across deployments.

Qualifications

• 3 to 5+ years of cloud engineering experience with at least 2 years hands-on with Google Cloud Platform
• Proven experience executing cloud migrations (lift-and-shift, re-platforming, or refactoring)
• Strong proficiency in Infrastructure as Code (Terraform preferred) and CI/CD pipelines
• Experience with containerization and orchestration (Docker, Kubernetes/GKE)

Responsibilities

• Design, deploy, and manage GCP foundational components, including BigQuery, Secret Manager, Vertex AI, VPCs, Cloud Storage, and Cloud IAM
• Execute large scale data migrations to GCP using industry best practices and migration tools (e.g., Migrate for Compute Engine)
• Implement secure cloud architectures that comply with federal cloud computing security requirements and Zero Trust principles
• Monitor cloud infrastructure performance, troubleshoot migration issues, and optimize costs

Skills

GCP

Terraform

Docker

Kubernetes/GKE

Migration tools

Tools

BigQuery

Secret Manager

Vertex AI

VPCs

Cloud Storage

Cloud IAM

Job description

Accenture Federal Services in Arlington, VA is seeking an experienced Google Cloud Platform (GCP) Cloud Engineer to lead large-scale workload migrations to GCP for federal clients. You will architect, build, and deploy secure, scalable cloud infrastructure to support mission-critical workloads.

Join a team that emphasizes security and innovation, with opportunities to work on BigQuery, Vertex AI, and secure zero-trust architectures, while optimizing cost and performance across deployments.