2 months ago
Base Salary
$115k - $235k/yr
Responsibilities
- Design, deploy, and manage cloud resources, distributed computing systems, and data storage solutions for AI/ML workflows.
- Collaborate with scientists and software and infrastructure engineers on infrastructure requirements for model training, testing, and deployment.
- Implement automation for provisioning, configuration, and monitoring of AI/ML infrastructure.
- Optimize infrastructure performance, resource utilization, caching, data preprocessing, scalability, reliability, and cost-effectiveness.
- Ensure encryption, access control, vulnerability management, security, and compliance standards across the infrastructure stack.
- Troubleshoot proof-of-concept and production deployment issues and implement risk-mitigation solutions.
- Advise customers and partners on advanced GPU solutions, cloud migration, Oracle Cloud value, and successful deployment architectures.
- Act as a technical liaison between customers, core engineering teams, and support.
- Document infrastructure designs, configurations, procedures, and troubleshooting steps.
- Coordinate moderately complex tasks and projects, provide technical oversight, and prioritize work across initiatives.
- Coach and mentor junior team members, contribute to process improvements, and participate in candidate interviews and hiring recommendations.
Requirements
- Experience with scripting and automation using Ansible, Terraform, Python, and/or Kubernetes.
- Experience with Docker, Kubernetes, and orchestration tools such as Slurm and PBS for distributed systems.
- Strong Linux administration skills across Oracle Linux, RHEL, CentOS, Ubuntu, and Debian, including package management, shell scripting, and performance optimization.
- Solid understanding of networking concepts, security principles, and best practices.
- Strong troubleshooting, problem-solving, communication, collaboration, and technical documentation skills.
- Preferred proficiency in Python, Rust, Go, Java, or Scala.
- Preferred experience designing and managing infrastructure for AI/ML or HPC workloads and strong experience with high-performance computing and GPU systems.
- Familiarity with TensorFlow, PyTorch, scikit-learn, Jenkins, GitLab CI/CD, and Prometheus is preferred.
Benefits
- Comprehensive medical, dental, vision, disability, life, and AD&D insurance options.
- 401(k) savings and investment plan with company match, employee stock purchase plan, and financial planning resources.
- Flexible or accrued vacation, 11 paid holidays, paid sick leave, paid parental leave, and adoption assistance.
- Pre-tax commuter and parking benefits, flexible spending accounts, group legal services, and voluntary auto, homeowner, and pet insurance.
- US hiring range is $114,600 to $234,600 per annum, with potential bonus, equity, and compensation deferral.
- Applications are generally accepted for at least three calendar days or while the posting remains open.
Tech Stack
Categories
Forward Deployed
About Oracle
Oracle builds database technology, enterprise applications, and Oracle Cloud Infrastructure for companies and governments. Its business spans cloud subscriptions, software licenses, and support services across ERP, HCM, CX, and industry suites, plus NetSuite. Founded in 1977 and headquartered in Austin, Texas, Oracle is a public company traded on the NYSE and serves global customers migrating and running critical workloads in its cloud.