Principal Core Infrastructure Engineer

Oracle

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Nashville, TN
Salary: $114,600–$234,600 / yr
Posted: 9 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k

This role $175k

$100k most similar roles pay here $249k

This role pays more than 59% of similar roles. Most pay $144,350–$210,817 — the shaded band above. At the midpoint, this role pays about $175k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 781 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 713 roles with salary data.

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At a glance

TL;DR · Principal Core Infrastructure Engineer

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As a Principal Core Infrastructure Engineer, you will join the team as a technical expert focused on designing, implementing, and maintaining infrastructure that supports customer AI and machine learning initiatives. You will collaborate with data scientists and software engineers to manage distributed computing systems, data storage solutions, and cloud resources for training and deploying models. Your daily work involves troubleshooting performance issues, automating provisioning through Ansible, Terraform, Python, or Kubernetes, and optimizing resource utilization for high-performance GPU systems. You will also manage containerization using Docker and orchestration tools like Slurm or PBS while ensuring security compliance across the stack. The role requires proficiency in Linux distributions such as RHEL or Ubuntu, along with experience in networking and potentially programming languages like Rust, Go, or Java to solve complex infrastructure challenges for large-scale AI workloads.

Skills

Oracle Cloud Python Kubernetes Docker Terraform Ansible Linux Shell Scripting Slurm PBS CI/CD Jenkins GitLab CI/CD Prometheus GPU HPC Rust Go Java Scala TensorFlow PyTorch sci-kit-learn

What you'll do

Design, deploy, and manage cloud resources, distributed computing systems, and data storage solutions for AI/ML workflows.
Implement automation solutions using tools like Ansible, Terraform, and Kubernetes to streamline infrastructure provisioning and monitoring.
Optimize infrastructure performance by tuning parameters, managing resource utilization, and implementing caching and data pre-processing techniques.
Troubleshoot complex issues regarding performance, scalability, and reliability for both proof of concept and production deployments.
Ensure security and compliance standards are met across the stack, including encryption, access control, and vulnerability management.
Act as a technical liaison to advise customers on advanced GPU solutions and cloud migration best practices.
Document infrastructure designs, configurations, and procedures to facilitate knowledge sharing and ensure system maintainability.

What we're looking for

Candidates must have 6 to 10+ years of experience in the field.
Experience is required in scripting and automation using Ansible, Terraform, Python, and/or Kubernetes.
Experience with containerization technologies like Docker and Kubernetes and orchestration tools such as Slurm or PBS is required.
Strong Linux skills are required across Oracle Linux, RHEL, CentOS, Ubuntu, and Debian distributions.
Candidates must possess a solid understanding of networking concepts and security principles.
Proficiency in at least one programming language such as Python, Rust, Go, Java, or Scala is preferred.
Proven experience designing and managing infrastructure for AI/ML or HPC workloads is preferred.
Familiarity with machine learning frameworks like TensorFlow or PyTorch and DevOps tools like Jenkins or Prometheus is preferred.

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