Accenture
GCP Engineer
$84K–$196K
Washington, DC +1 · Full-time · Posted Oct 15, 2026
- Location
- Washington, DC
Washington, District of Columbia, United States - Experience
- Professional experience required; no number of years specified. Deeper experience may include leading complex platform initiatives.
- Education
- Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience is a bonus.
- Visa sponsorship
- U.S. citizenship required. Applicants must have U.S. work authorization that does not now or in the future require visa sponsorship.
About the job
Builds and operates secure, automated, reliable GCP infrastructure and platform capabilities supporting federal agency modernization.
What you'll do
- Design, build, automate, and operate GCP infrastructure and platform capabilities, including infrastructure as code and CI/CD workflows.
- Deploy and operate containerized workloads; implement observability, resilience, security, and reliability practices; troubleshoot incidents.
- Use approved AI-assisted engineering tools and collaborate with engineering, architecture, security, and client teams.
What they ask for
- Professional experience in GCP cloud engineering, DevOps, platform engineering, infrastructure engineering, SRE, or comparable work, or equivalent practical experience.
- Experience with infrastructure as code, such as Terraform, CloudFormation, Bicep, or comparable technology.
- Experience with CI/CD, Git-based workflows, scripting/automation, and modern software delivery practices.
- Experience with Docker, Kubernetes, container platforms, or comparable workload orchestration technologies; U.S. citizenship required.
Nice to have
- Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience; cloud certifications.
- Experience with GitOps, SRE practices, federal cloud security, regulated systems, or federal consulting.
Pay
$83,600 — $196,000 USD (base pay)
Tools
GCP, Terraform, CloudFormation, Bicep, CI/CD, Git, Docker, Kubernetes
AI focus
Use AFS-approved AI-assisted engineering tools to accelerate automation, troubleshooting, documentation, code development, and platform analysis, validating outputs.
Model-written summary · the original posting is authoritative