Cloud Engineer (GCP)
Accenturefederalservices · Washington, DC
About this role
**About the role** Accenture Federal Services is seeking an experienced **Cloud Engineer (GCP-focused)** to help design and implement secure, automated cloud infrastructure for **enterprise AI workloads** across **Unclassified and Classified** environments. You’ll work at an architect level—building scalable patterns, automated deployment frameworks, and supporting multi-domain compliance requirements. **What you’ll do** - **Multi-Cloud Infrastructure (GCP Focused):** - Provision and configure cloud resources with strong emphasis on **GCP** (Cloud Run, Vertex AI, Artifact Registry, Secret Manager, IAM) - Design scalable patterns for containerized workloads (start with **Cloud Run**, expand to **GKE** as needed) - Deploy and manage **Docker-based** applications across **GCP** and **AWS GovCloud** - Host AI workloads using **Vertex AI (GCP)** and **Bedrock (AWS)** in secure, multi-domain environments - **Infrastructure as Code & DevOps Automation:** - Build infrastructure using **Terraform** (preferably modular patterns) - Create scripts to support deployment, automation, and operational workflows - Maintain **CI/CD pipelines** (e.g., GitHub Actions, Cloud Build) for reproducible deployments across security fabrics - Apply **GitOps/DevOps best practices** (avoid console-driven configuration) - **Secure, Classified, and Cross-Domain Cloud Operations:** - Build and troubleshoot **cross-domain solutions (CDS)** and secure data transfer patterns - Ensure **Zero Trust-aligned** configurations per security domain - Support **FedRAMP** compliance and ATO-related activities for multi-domain deployments - **Enterprise-Scale Architecture & Operational Excellence:** - Design enterprise-grade cloud patterns (multi-tenant, reusable modules, standardized deployment frameworks) - Configure **VPC networking**, IAM policies, access controls, and segmentation across clouds/domains - Implement monitoring, logging, and alerting for reliability, security, and performance - Support cloud migration from on-prem to multi-cloud architectures hosting AI workloads - **Collaboration & Continuous Learning:** - Partner with Cloud Solution Architects, DevOps Engineers, Data Engineers, and AI Developers - Proactively evaluate and adopt new cloud services - Use AI tools to accelerate learning, analysis, troubleshooting, and ideation - Document architecture, configurations, runbooks, and cross-domain designs **Required qualifications** - **5+ years** of hands-on cloud engineering experience - Strong delivery experience on **GCP**, plus working knowledge of **AWS GovCloud** - Expertise deploying **Docker-based** custom software at scale - Strong **Terraform** engineering capability - **CI/CD-first** mindset; comfortable designing DevOps patterns end-to-end - Comfortable working in **secure, regulated, cross-domain** environments - **Active Top Secret clearance required with CI poly** - Willingness to work **onsite in Washington, DC** **Pay range (where applicable)** **$81,000 – $154,700 USD** (base pay range for listed states and DC)
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