Principal Core Infrastructure Engineer

Oracle

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $84,900–$209,500 / yr
Posted: 61 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $192k

This role $147k

$65k most similar roles pay here $271k

This role pays less than 79% of similar roles. Most pay $157,050–$226,350 — the shaded band above. At the midpoint, this role pays about $147k versus about $192k 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 444 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 409 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 AI and machine learning initiatives. You will collaborate with data scientists, software engineers, and internal cloud teams to ensure solutions are deployed efficiently, securely, and at scale. Your daily responsibilities include managing distributed computing systems, automating provisioning via Ansible or Terraform, and optimizing performance for GPU and HPC workloads. You will troubleshoot complex issues in production environments while ensuring security compliance across the infrastructure stack. The role requires proficiency in Linux distributions, Python, Scala, and frameworks like PyTorch. You will also serve as a technical liaison to guide customers through cloud migrations and advanced GPU solutions, solving critical problems related to scaling machine learning models and managing high-performance computing resources.

Skills

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

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, or Kubernetes to streamline provisioning and monitoring.
Optimize infrastructure performance by tuning parameters, managing resource utilization, and implementing caching techniques.
Troubleshoot complex issues regarding scalability, reliability, and performance for both proof of concept and production deployments.
Ensure security compliance across the AI/ML stack, including data encryption and access control.
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.

What we're looking for

Applicants 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.
Candidates must have experience with containerization technologies like Docker and Kubernetes, as well as orchestration tools like Slurm or PBS.
Strong Linux skills are required across Oracle Linux, RHEL, CentOS, Ubuntu, and Debian distributions.
Experience is required in designing and managing infrastructure for AI/ML or HPC workloads.
Proficiency in programming languages such as Python, Rust, Go, Java, or Scala is preferred.
Knowledge of machine learning frameworks like TensorFlow, PyTorch, or sci-kit-learn is a plus.
Familiarity with DevOps practices and CI/CD tools including GitHub, Jenkins, and GitLab CI/CD is required.

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