Principal Core Infrastructure Engineer

Oracle

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Nashville, TN
Salary: $84,900–$209,500 / yr
Posted: 56 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $178k

This role $147k

$67k most similar roles pay here $253k

This role pays less than 70% of similar roles. Most pay $144,350–$210,817 — the shaded band above. At the midpoint, this role pays about $147k 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 on the AI/ML Forward Deployed Infrastructure Engineering team, you will design, implement, and maintain infrastructure supporting customer machine learning initiatives. You will collaborate with data scientists, software engineers, and internal cloud teams to ensure AI/ML solutions are deployed efficiently, securely, and at scale. Your daily responsibilities include managing cloud resources, distributed computing systems, and data storage while automating provisioning and monitoring workflows. You will troubleshoot performance issues for proof of concept and production deployments while advising on advanced GPU solutions and cloud migrations. The role requires proficiency in Python, Rust, Go, Java, or Scala, along with experience in Ansible, Terraform, Kubernetes, Docker, and Slurm. You must possess strong Linux skills across RHEL, Ubuntu, and Debian distributions to optimize infrastructure for high-performance computing workloads and complex data processing requirements.

Skills

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

What you'll do

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

What we're looking for

Applicants must be able to read, write, and speak English.
Candidates should 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 (Docker, Kubernetes) and orchestration tools like Slurm or PBS is required.
Strong Linux skills are required across Oracle Linux, RHEL, CentOS, Ubuntu, and Debian distributions.
Proficiency in networking concepts, security principles, and infrastructure documentation is required.
Preferred experience includes designing infrastructure for AI/ML or HPC workloads using GPU systems.
Familiarity with machine learning frameworks like PyTorch and DevOps tools like Jenkins or GitLab CI/CD is preferred.

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