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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Engineer Oracle Cloud Infrastructure - **Company:** Alldus International Consulting Ltd - **Location:** Arlington, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cyber Security, Continuous Integration, Github, Identity and Access Management, Machine Learning, Oracle (Applications), Azure Machine Learning, Security Information and Event Management, Software Vulnerability Management, Data Logging, Cloud Platform System, Cloud Monitoring, DevOps Tools - Open-source, Gitlab, Git, SC Clearance, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Terraform, Oracle Cloud Infrastructure, Devsecops, Docker, Security Orchestration, Automation & Response, Jenkins, Vulnerability Analysis - **Published:** September 3, 2026 - **Apply:** https://www.dice.com/job-detail/5b4581d9-ec43-4031-8a3f-d06ce63fab9e ## About the Role 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., * 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. ## Description We are seeking an experienced AI Platform Engineer to design, secure, and maintain enterprise AI application environments within Oracle Cloud Infrastructure (OCI)., * 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., 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. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Navigating the AI Wave in DevOps](https://www.wearedevelopers.com/videos/853-navigating-the-ai-wave-in-devops) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Got AI ideas but no money? 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