Software Engineer

7 days ago


Charleston, West Virginia, United States Oracle Full time
About the Role

We are seeking a highly skilled Software Engineer to join our team at Oracle, where you will play a critical role in designing, implementing, and maintaining the infrastructure that supports our AI and machine learning initiatives.

Key Responsibilities
  • Design, deploy, and manage infrastructure components such as cloud resources, distributed computing systems, and data storage solutions to support AI/ML workflows.
  • Collaborate with scientists and software/infrastructure engineers to understand infrastructure requirements for training, testing, and deploying machine learning models.
  • Implement automation solutions for provisioning, configuring, and monitoring AI/ML infrastructure to streamline operations and enhance productivity.
  • Optimize infrastructure performance by tuning parameters, optimizing resource utilization, and implementing caching and data pre-processing techniques.
  • Ensure security and compliance standards are met throughout the AI/ML infrastructure stack, including data encryption, access control, and vulnerability management.
  • Troubleshoot infrastructure performance, scalability, and reliability issues and implement solutions to mitigate risks and minimize downtime.
  • Stay updated on emerging technologies and best practices in AI/ML infrastructure and evaluate their potential impact on our systems and workflows.
  • Document infrastructure designs, configurations, and procedures to facilitate knowledge sharing and ensure maintainability.
Requirements
  • Experience in scripting and automation using tools like Ansible, Terraform, and/or Kubernetes.
  • Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems.
  • Solid understanding of networking concepts, security principles, and best practices.
  • Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment.
  • Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders.
  • Strong documentation skills with experience documenting infrastructure designs, configurations, procedures, and troubleshooting steps to facilitate knowledge sharing, ensure maintainability, and enhance team collaboration.
  • Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization.
Preferred Qualifications
  • Strong proficiency in at least one of the programming languages such as Python, Rust, Go, Java, or Scala.
  • Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads.
  • Understanding machine learning frameworks and libraries such as TensorFlow, PyTorch, or sci-kit-learn and their deployment in production environments is a plus.
  • Familiarity with DevOps practices and tools for continuous integration, deployment, and monitoring (e.g., Jenkins, GitLab CI/CD, Prometheus).
  • Strong experience with High-Performance Computing systems.
About Us

At Oracle, we are committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We've partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency.



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