Washington, United States
Cloud Engineer - GCP
Accenture Federal Services · Washington · United States
- Occupation
- DevOps / Platform Engineer
Posted: 10/26/2026 · Last checked: 10/28/2026
Job description
Quoted in full from Accenture Federal Services's job posting. Gavroche does not edit it.
The work:
We are looking for an experienced Cloud Engineer with deep hands on expertise in multi cloud environments and a strong emphasis on Google Cloud Platform. This role is highly technical and requires an engineer who can both implement cloud infrastructure and think at an architect level — designing scalable patterns, building automated deployment frameworks, and supporting enterprise AI workloads across multiple security domains and compliance boundaries. You will work heavily with custom software deployments, Docker-based workloads, Cloud Run, and eventually GKE, while ensuring infrastructure is automated, secure, compliant, and built via Terraform and CI/CD pipelines rather than console-driven operations. You're already a strong cloud practitioner who is naturally curious, self-driven, and comfortable exploring new services independently — including using AI tools to accelerate learning and design. This role supports deployments across Unclassified and Classified fabrics, requiring strict adherence to FedRAMP, Zero Trust, and cross-domain (CDS) requirements.
Responsibilities:
Multi Cloud Infrastructure (GCP Focused) Provision and configure cloud resources with a strong emphasis on GCP (Cloud Run, Vertex AI, Artifact Registry, Secret Manager, IAM). Design scalable patterns for containerized workloads, beginning with Cloud Run and expanding to GKE as needed. Deploy and manage Docker-based applications across GCP and AWS GovCloud. Support AI workload hosting using Vertex AI (GCP) and Bedrock (AWS) in secure, multi-domain environments. Infrastructure as Code & DevOps Automation Build all infrastructure using Terraform (preferably modular patterns) and maintain automation-first standards. Write scripts to support deployment, automation, and operational workflows. Maintain CI/CD pipelines (GitHub Actions, Cloud Build, etc.) for reproducible deployments across all security fabrics. Implement GitOps and DevOps best practices; avoid console based configuration. Secure, Classified, and Cross-Domain Cloud Operations Build and maintain cloud architectures spanning Unclassified and Classified environments with strict security boundaries. Implement and troubleshoot cross-domain solutions (CDS), secure data transfer patterns, and enclave-specific configurations. Ensure Zero Trust-aligned configurations for each security domain. Support FedRAMP compliance and ATO-related activities for multi-domain deployments. Enterprise-Scale Architecture & Operational Excellence Design enterprise-grade cloud patterns that scale beyond prototypes — multi-tenant environments, reusable modules, structured network segmentation, and standardized deployment frameworks. Configure VPC networking, IAM policies, access controls, and segmentation strategies across multiple clouds and domains. Implement monitoring, logging, and alerting to ensure platform reliability, security, and performance. Support cloud migration activities transitioning on-prem systems into multi-cloud architectures hosting AI workloads. Collaboration & Continuous Learning Collaborate closely with Cloud Solution Architects, DevOps Engineers, Data Engineers, and AI Developers. Explore and learn new cloud services proactively; identify which services best support architectural and business goals. Leverage AI tools to accelerate learning, analysis, troubleshooting, and ideation. Document architecture, configurations, runbooks, operational procedures, and cross-domain designs.
Here's what we need:
- Minimum 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.
- Have a CI/CD-first mindset; comfortable designing DevOps patterns end-to-end.
- Comfort working in secure, regulated, and cross-domain environments.
- Active Top Secret clearance required with CI poly.
- Must be willing to work onsite in Washington, DC.
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
From Gavroche data
Figures computed from live adverts on Gavroche; the job text above is the employer's.
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200 open roles like this one; at most three per employer shown.
What devops / platform engineer adverts in the United States state
Middle half: 147,750 – 212,500 USD a year; median 180,050 USD.
From 332 adverts by 133 employers that state a salary, annualised.
How devops / platform engineer roles in the United States are worked
4% fully remote · 1% hybrid · 95% do not say
Of 123 adverts. An advert that does not state a work mode is counted as not saying, not as on-site.
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