Senior Member of Technical Staff - AI/ML Infrastructure Engineer 3

Oracle; Santa Clara (CA); On-site; USD 79,000 - 179,000; Full time

Job summary

A leading technology company seeks a Senior Member of Technical Staff specializing in AI/ML Infrastructure Engineering. You will design and maintain infrastructure supporting AI and machine learning initiatives, collaborating with cross-functional teams to optimize performance and security. The ideal candidate will have expertise in containerization, scripting, and Linux systems, and experience managing AI/ML workloads.

Benefits

Comprehensive health coverage

401(k)

Paid time off

Potential bonuses and equity

Qualifications

• Experience scripting and automating with Ansible, Terraform, and Kubernetes.
• Solid Linux skills with hands-on experience in various distributions.
• Strong understanding of security principles and best practices.

Responsibilities

• Design, deploy, and manage infrastructure components for AI/ML workflows.
• Implement automation for provisioning, configuration, and monitoring.
• Troubleshoot and resolve infrastructure issues.

Skills

Scripting and automation

Containerization

Networking

Troubleshooting

Communication

Documentation

Linux

Tools

Ansible

Terraform

Kubernetes

Docker

Jenkins

GitLab

Prometheus

Job description

Senior Member of Technical Staff - AI/ML Infrastructure Engineer 3

Join to apply for the Senior Member of Technical Staff - AI/ML Infrastructure Engineer 3 role at Oracle.

Job Description

As an AI/ML Infrastructure Engineer on the GPU Strategic Customers Engineering team, you will play a critical role in designing, implementing, and maintaining infrastructure supporting our AI and machine learning initiatives. You will collaborate with data scientists, software engineers, and IT professionals to ensure efficient, secure, and scalable deployment of AI/ML models. Your expertise will help optimize infrastructure performance, reliability, and cost-efficiency.

Qualifications

• Experience scripting and automating with tools like Ansible, Terraform, and Kubernetes.
• Experience with containerization (Docker, Kubernetes) and orchestration for distributed systems.
• Strong understanding of networking, security principles, and best practices.
• Excellent troubleshooting skills for complex issues in fast-paced environments.
• Effective communication and collaboration skills for cross-functional teams.
• Proven documentation skills for infrastructure design, configuration, and troubleshooting.
• Solid Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, Debian, including system administration and performance tuning.

Preferred Qualifications

• Proficiency in programming languages such as Python, Rust, Go, Java, or Scala.
• Experience designing and managing infrastructure for AI/ML or HPC workloads.
• Knowledge of machine learning frameworks like TensorFlow, PyTorch, or scikit-learn in production.
• Familiarity with DevOps tools for CI/CD and monitoring (Jenkins, GitLab, Prometheus).
• Experience with High-Performance Computing systems.

Responsibilities

• Own problems and develop solutions.
• Design, deploy, and manage infrastructure components for AI/ML workflows.
• Collaborate to understand infrastructure needs for training, testing, and deployment.
• Implement automation for provisioning, configuration, and monitoring.
• Optimize infrastructure performance and resource utilization.
• Ensure security and compliance standards are met.
• Troubleshoot and resolve infrastructure issues.
• Stay updated on emerging AI/ML infrastructure technologies.
• Document designs, configurations, and procedures.

Additional Information

This role is open for applications for at least three days from the posting date. The US hiring range is $79,800 - $178,100 annually, with potential bonuses and equity. Benefits include comprehensive health coverage, 401(k), paid time off, and more.

About Us

Oracle is a global leader in cloud solutions, committed to innovation, inclusion, and empowering employees. We support a diverse and inclusive workforce and provide accessible accommodations as needed.