Principal Core Infrastructure Engineer

Jordan Dreams; United Arab Emirates; On-site; AED 360,000 - 480,000; Full time

Job summary

Oracle is seeking a Principal Core Infrastructure Engineer to design, implement, and maintain scalable AI/ML infrastructure supporting customer initiatives. You will work with data scientists, software engineers, and internal cloud services teams to deploy AI/ML solutions securely and efficiently.

In this hands-on role, you’ll optimize performance, troubleshoot POC and production deployments, and mentor junior engineers while staying current with AI/ML trends and technologies.

Qualifications

• Experience in scripting and automation using tools like Ansible, Terraform, Python and/or Kubernetes.
• Solid understanding of networking concepts, security principles, and best practices.
• Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders.
• Strong documentation skills with experience documenting infrastructure designs, configurations, procedures, and troubleshooting steps to facilitate knowledge sharing, ensure maintainability, and enhance team collaboration.
• Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization.

Responsibilities

• Lead the design and architecture of AI/ML infrastructure, considering performance, scalability, and security.
• Implement and maintain AI/ML infrastructure, ensuring efficient and reliable operations.
• Collaborate with customer technical teams to understand their AI/ML requirements and provide tailored solutions.
• Work closely with our cloud services team to integrate AI/ML solutions into our cloud platform.
• Ensure the secure deployment of AI/ML models and data, adhering to industry best practices.
• Monitor and optimize AI/ML infrastructure performance, identifying and resolving bottlenecks.
• Provide technical guidance and mentorship to junior engineers, fostering a culture of knowledge sharing.
• Stay updated with the latest AI/ML technologies and trends, driving innovation within the team.
• Document and communicate infrastructure designs, ensuring clear and concise documentation.
• Engage with customers and stakeholders to gather feedback and ensure their satisfaction with our AI/ML offerings.

Skills

Scripting & Automation

Networking & Security

Problem Solving

Communication

Documentation

Linux

Tools

Docker

Kubernetes

Slurm

PBS

Ansible

Terraform

Job description

As a Principal Core Infrastructure Engineer (AI/ML Forward Deployed Infrastructure Engineer), you will play a critical role in designing, implementing, and maintaining the infrastructure that supports our customers AI and machine learning initiatives.

You will work closely with customer technical teams (data scientists, software engineers, and Infra/IT professionals) and internal cloud services team to ensure their AI/ML solutions are deployed efficiently, securely, and at scale.

Your expertise will be crucial in optimizing our infrastructure for performance, reliability, and cost-effectiveness. In this hands-on technical role you’ll troubleshoot issues for proof of concept (POC) and production deployments.

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [e-mail] or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Responsibilities:

• Lead the design and architecture of AI/ML infrastructure, considering performance, scalability, and security.
• Implement and maintain AI/ML infrastructure, ensuring efficient and reliable operations.
• Collaborate with customer technical teams to understand their AI/ML requirements and provide tailored solutions.
• Work closely with our cloud services team to integrate AI/ML solutions into our cloud platform.
• Ensure the secure deployment of AI/ML models and data, adhering to industry best practices.
• Monitor and optimize AI/ML infrastructure performance, identifying and resolving bottlenecks.
• Provide technical guidance and mentorship to junior engineers, fostering a culture of knowledge sharing.
• Stay updated with the latest AI/ML technologies and trends, driving innovation within the team.
• Document and communicate infrastructure designs, ensuring clear and concise documentation.
• Engage with customers and stakeholders to gather feedback and ensure their satisfaction with our AI/ML offerings.

Qualifications:

• Experience in scripting and automation using tools like Ansible, Terraform, Python and/or Kubernetes.
• Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (like Slurm, PBS, etc.) for managing distributed systems.
• Solid understanding of networking concepts, security principles, and best practices.
• Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders.
• Strong documentation skills with experience documenting infrastructure designs, configurations, procedures, and troubleshooting steps to facilitate knowledge sharing, ensure maintainability, and enhance team collaboration.
• Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization.

Preferred Qualifications

• Strong proficiency in at least one of the programming languages such as Python, Rust, Go, Java, or Scala
• Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads.
• Understanding machine learning frameworks and libraries such as TensorFlow, PyTorch, or sci-kit-learn and their deployment in production environments is a plus.
• Familiarity with DevOps practices and tools for continuous integration, deployment, and monitoring (e.g., Jenkins, GitLab CI/CD, Prometheus).