AI Platform Engineer Oracle Cloud Infrastructure (OCI)
Location: Arlington, VA Onsite Clearance: Active Secret Clearance Citizenship: Contract: Contract / Contract-to-Hire
Duration: Long-Term
Experience: 5+ Years Cloud Infrastructure / DevSecOps
About the Role
We are seeking an experienced AI Platform Engineer to design, secure, and maintain enterprise AI application environments within Oracle Cloud Infrastructure (OCI).
This role will focus on building secure, scalable, and highly available cloud environments for AI applications while ensuring compliance with Federal and DoD security requirements. The ideal candidate will have strong hands-on experience across OCI infrastructure, networking, IAM, containers, Kubernetes, Infrastructure as Code, and DevSecOps.
Key Responsibilities
- Design, deploy, secure, and maintain AI application environments within OCI.
- Architect and manage OCI networking, compute, storage, and security services.
- Implement and maintain Identity and Access Management (IAM), policies, roles, and security controls.
- Deploy and manage containerized AI applications using Docker and Oracle Kubernetes Engine (OKE).
- Develop and maintain Infrastructure as Code using Terraform.
- Build and maintain secure, automated CI/CD and DevSecOps pipelines.
- Implement cloud security controls aligned with Federal and DoD requirements.
- Support security hardening, vulnerability management, logging, monitoring, and incident response.
- Work closely with application developers, security teams, and architects to ensure AI platforms are secure and production-ready.
- Automate infrastructure provisioning, configuration, and deployment processes.
- Troubleshoot complex cloud infrastructure, networking, container, and deployment issues.
- Contribute to cloud architecture standards, documentation, and modernization initiatives.
Required Experience
- 5+ years of cloud infrastructure and/or DevSecOps experience.
- Strong hands-on experience with Oracle Cloud Infrastructure (OCI).
- Experience with OCI networking, IAM, compute, storage, and security services.
- Strong experience with Docker and Kubernetes, preferably Oracle Kubernetes Engine (OKE).
- Hands-on experience with Terraform / Infrastructure as Code (IaC).
- Experience developing or supporting CI/CD and DevSecOps pipelines.
- Strong understanding of cloud security, networking, identity, and access management.
- Experience securing cloud environments supporting AI/ML applications.
- Knowledge of Federal and/or DoD cybersecurity and compliance requirements.
- Strong troubleshooting and problem-solving skills.
- Active Secret Clearance required.
- U.S. Citizenship required.
- Must be able to work onsite in Arlington, VA.
Nice to Have
- OCI certifications.
- Experience supporting Federal or DoD cloud environments.
- Knowledge of FedRAMP, NIST, RMF, DISA STIGs, or DoD security requirements.
- Experience with AI/ML platforms and infrastructure.
- Experience with Git, Jenkins, GitLab, GitHub Actions, or similar DevSecOps tools.
- Experience with cloud monitoring, SIEM, vulnerability scanning, and security automation.
- Experience implementing highly available and scalable production AI platforms.
Why This Role?
This is an excellent opportunity for an experienced AI Platform Engineer to work on modern cloud and AI infrastructure within a secure Federal/DoD environment.
You will play a key role in building and maintaining secure OCI-based AI platforms, combining cloud engineering, DevSecOps, Kubernetes, Terraform, and cybersecurity to support next-generation AI applications.
Interested? Apply now or reach out to discuss the opportunity in more detail.
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