AI Platform Engineer Oracle Cloud Infrastructure

Alldus International Consulting Ltd
Arlington, VA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+18 more
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

Job 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.

Requirements

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.

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