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
13 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $201k
This role $175k
$95k most similar roles pay here $294k

This role pays less than 70% of similar roles. Most pay $171,575–$231,000 — the shaded band above. At the midpoint, this role pays about $175k versus about $201k 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 127 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 112 roles with salary data.

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At a glance

TL;DR · Principal Core Infrastructure Engineer

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, and Kubernetes, and optimizing high-performance GPU systems. The role requires proficiency in Linux distributions like RHEL or Ubuntu, along with experience in Python, Rust, Go, Java, or Scala. You will solve complex technical challenges regarding scalability and security while ensuring infrastructure meets specific requirements for machine learning workflows. You will also serve as a technical liaison to help customers migrate workloads to the cloud using advanced GPU solutions.

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.
  • Ensure security and compliance standards are met across the stack, including encryption, access control, and vulnerability management.
  • Troubleshoot complex issues regarding performance, scalability, and reliability for both proof of concept and production deployments.
  • Act as a technical liaison to advise customers on 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

  • Must have 6 to 10+ years of experience in the field.
  • 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 (e.g., Slurm, PBS).
  • Strong Linux skills including system administration, package management, shell scripting, and performance optimization across various distributions.
  • Solid understanding of networking concepts, security principles, and best practices.
  • Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads (preferred).
  • Proficiency in at least one programming language such as Python, Rust, Go, Java, or Scala (preferred).
  • Familiarity with DevOps tools, machine learning frameworks, and high-performance GPU systems (preferred).

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