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AI Platform Engineer; Oracle Cloud Infrastructure); On-site

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: DXC Technology Inc.
Full Time position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    Cybersecurity, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 84000 - 157000 USD Yearly USD 84000.00 157000.00 YEAR
Job Description & How to Apply Below
Position: AI Platform Engineer (Oracle Cloud Infrastructure) (On-site)

Job Description

DXC Technology (NYSE: DXC) helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private, and hybrid clouds. The world’s largest companies and public sector organizations trust DXC to deploy services across the Enterprise Technology Stack to drive new performance levels, competitiveness, and customer experience. Learn more about how we deliver excellence for our customers and colleagues at

Clearance:
Must be a U.S. Citizen with an active Secret Security Clearance.

Work Environment: on-site, Cristal City, Arlington, VA.

Responsibilities
  • Design, deploy, configure, secure, and maintain AI application environments within Oracle Cloud Infrastructure (OCI).
  • Adapt existing containerized applications and supporting services for deployment within secured and hardened OCI environments.
  • Design and implement secure OCI networking including Virtual Cloud Networks (VCNs), private subnets, routing, Network Security Groups (NSGs), private endpoints, DNS, and connectivity to enterprise services and data sources.
  • Implement and maintain identity, authentication, and authorization capabilities using OCI IAM and approved enterprise identity-management technologies.
  • Work with application developers to modify authentication, authorization, session management, service identities, and application configuration as required to meet Federal and DoD security requirements.
  • Design secure service-to-service communication between web applications, AI services, large language models, APIs, databases, integration services, and other enterprise resources.
  • Deploy and support containerized applications using Docker, Kubernetes/Oracle Kubernetes Engine (OKE), OCI Container Registry (OCIR), or comparable container technologies.
  • Configure and secure AI application access to approved LLM services, APIs, enterprise applications, databases, and other supporting services.
  • Implement secure patterns for AI tool and data integrations, including controlled access to enterprise services and Model Context Protocol (MCP)-based connections where applicable.
  • Apply least-privilege access, network segmentation, encryption, secrets management, certificate management, and other security controls across AI application environments.
  • Configure and manage OCI Vault, keys, certificates, secrets, service credentials, and other sensitive application configuration.
  • Develop and maintain Infrastructure as Code (IaC) using Terraform or comparable technologies to create repeatable, controlled, and auditable cloud environments.
  • Integrate platform deployment with source control, CI/CD pipelines, automated builds, security scanning, artifact management, configuration management, and release processes.
  • Configure application and infrastructure logging, monitoring, audit trails, metrics, alerts, and operational dashboards.
  • Partner with cybersecurity teams to implement security controls, hardening requirements, vulnerability remediation, access restrictions, audit requirements, and other compliance measures.
  • Troubleshoot issues across application configuration, OCI networking, IAM, containers, certificates, APIs, service connectivity, authentication, authorization, and cloud infrastructure.
  • Participate in application and architecture reviews to identify security, deployment, networking, authentication, and integration changes needed for successful cloud implementation.
  • Develop reusable platform standards, security patterns, Terraform modules, deployment templates, technical documentation, and operational procedures.
  • Participate in Agile/SAFe activities including PI Planning, backlog refinement, technical reviews, demonstrations, testing, release readiness, and production support.
  • Other duties as assigned.
Requirements

Must be a U.S. Citizen with an active Secret security clearance required.

  • Bachelor's degree in Computer Science, Information Systems, Cybersecurity, Engineering, or a related field; equivalent relevant experience may be considered.
  • 5+ years of hands‑on cloud infrastructure, platform engineering, Dev Sec Ops , cloud security, application…
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