AI Platform Engineer – Oracle Cloud Infrastructure (OCI)

Alldus; Arlington (VA); On-site; USD 140,000 - 190,000; Part time

Job summary

Alldus is seeking an experienced AI Platform Engineer to design, secure, and maintain enterprise AI environments in Oracle Cloud Infrastructure (OCI). The role emphasizes secure, scalable OCI-based platforms, IAM, and DevSecOps practices, with a focus on DoD/Federal compliance in Arlington, VA onsite.

The candidate will build and secure AI environments, manage OCI networking, compute, storage, and security services, and drive IaC with Terraform while automating CI/CD pipelines and incident

Qualifications

• 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.
• Must be able to work onsite in Arlington, VA.

Responsibilities

• Design, deploy, secure, and maintain AI application environments within OCI.
• Architect and manage OCI networking, compute, storage, and security services.
• Implement and maintain 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.

Skills

OCI

Docker

Kubernetes

Terraform

IaC

DevSecOps

CI/CD

IAM

AI/ML

Git

Jenkins

GitLab

GitHub Actions

Tools

OKE

OCI

Terraform

Git

Jenkins

GitLab

GitHub Actions

Job description

Location: Arlington, VA – Onsite

Contract: Contract / Contract-to-Hire

Duration: Long-Term

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.
• 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.