Principal Core Infrastructure Engineer

Job Title

Principal Core Infrastructure Engineer (AI/ML Forward Deployed Infrastructure Engineer)

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 r 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.

• Work with OCI Strategic customers to grow our business in pre/post‑sales stages in a technical infra expert role.
• Take ownership of problems and work to identify solutions.
• Think through solutions and identify or document potential issues impacting customers.
• Design, deploy, and manage infrastructure components such as cloud resources, distributed computing systems, and data storage solutions to support AI/ML workflows.
• Collaborate with scientists and software/infrastructure engineers to understand infrastructure requirements for training, testing, and deploying machine learning models.
• Implement automation solutions for provisioning, configuring, and monitoring AI/ML infrastructure to streamline operations and enhance productivity.
• Optimize infrastructure performance by tuning parameters, optimizing resource utilization, and implementing caching and data pre‑processing techniques.
• Ensure security and compliance standards are met throughout the AI/ML infrastructure stack, including data encryption, access control, and vulnerability management.
• Troubleshoot infrastructure performance, scalability, and reliability issues and implement solutions to mitigate risks and minimize downtime.
• Stay updated on emerging technologies and best practices in AI/ML infrastructure and evaluate their potential impact on our systems and workflows.
• Document infrastructure designs, configurations, and procedures to facilitate knowledge sharing and ensure maintainability.
• Act as a trusted customer advocate, helping customers and partners understand best practices around advanced GPU solutions and how to migrate workloads to the cloud.
• Educate customers of all sizes on the value proposition of Oracle Cloud and participate in deep architectural discussions.
• Act as a technical liaison between customers, core engineering teams, and support.

• Experience in scripting and automation using tools such as Ansible, Terraform, Python, and/or Kubernetes.
• Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Slurm, PBS) 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.
• Strong Linux skills, with hands‑on experience in Oracle Linux, RHEL, CentOS, Ubuntu, and Debian distributions.

• Strong proficiency in at least one programming language such as Python, Rust, Go, Java, or Scala.
• Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads.
• Understanding of machine learning frameworks and libraries such as Tensor Flow, PyTorch, or sci‑kit‑learn and their deployment in production environments.
• Familiarity with Dev Ops practices and tools for continuous integration, deployment, and monitoring (e.g., Jenkins, Git Lab CI/CD, Prometheus).
• Strong experience with High‑Performance Computing/GPU systems.

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