Principal Core Infrastructure Engineer

Oracle

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
—
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 cloud resources, distributed computing systems, and data storage solutions for training and deploying models. Your daily work involves troubleshooting performance issues, automating provisioning through Ansible, Terraform, Python, or Kubernetes, and managing containerized environments using Docker or Slurm. The role requires deep expertise in Linux distributions like RHEL and Ubuntu, along with proficiency in networking and security protocols. You will specifically solve problems related to high-performance computing and GPU systems while ensuring infrastructure is optimized for reliability and cost-effectiveness. You will also act as a technical liaison to guide customers through complex cloud migrations and architectural discussions.

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, or 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 infrastructure performance, scalability, and reliability for both proof of concept and production deployments.
  • Ensure all AI/ML infrastructure components meet strict security standards, including encryption, access control, and vulnerability management.
  • Act as a technical liaison to advise customers on GPU solutions and cloud migration best practices.
  • Document infrastructure designs, configurations, and troubleshooting procedures to facilitate knowledge sharing and maintainability.

What we're looking for

  • Applicants must be able to read, write, and speak English.
  • 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.
  • Strong documentation skills for infrastructure designs, configurations, procedures, and troubleshooting steps.
  • Proficiency in at least one programming language such as Python, Rust, Go, Java, or Scala (preferred).
  • Experience with AI/ML workloads, GPU systems, and related frameworks like TensorFlow or PyTorch (preferred).

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