Accenture
Cloud Platform Engineer
$84K–$196K
Washington, DC +1 · Full-time · Posted Sep 16, 2026
- Location
- Washington, DC
Washington, District of Columbia, United States - Experience
- No specific number of years stated; professional experience or equivalent practical experience. Candidates with deeper experience may lead complex 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, reusable cloud infrastructure, automation, delivery pipelines, and platform capabilities for federal client teams.
What you'll do
- Design, automate, and operate cloud infrastructure and platform capabilities, including infrastructure as code and CI/CD workflows.
- Deploy and support containerized workloads; implement observability, reliability, resilience, and security practices.
- Use approved AI-assisted tools and partner with engineering, security, architecture, and client teams to improve platform delivery.
What they ask for
- Professional experience in cloud, DevOps, platform, infrastructure, SRE, or comparable work, or equivalent practical experience.
- Hands-on experience with a major cloud platform and infrastructure as code.
- Experience with CI/CD, Git-based workflows, scripting/automation, and modern software delivery practices.
- Experience with Docker, Kubernetes, container platforms, or comparable orchestration; U.S. citizenship required.
Nice to have
- Cloud certifications; experience with Helm, Argo CD, GitOps, service mesh, or platform engineering products.
- Experience with federal cloud security, regulated systems, or federal consulting/government delivery.
Pay
$83,600 — $196,000 USD base salary
Tools
AWS, Azure, GCP, Terraform, CloudFormation, Bicep, 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