oracle - United States | 2024-08-06 05:41:12

As an Software Engineer on the Strategic Customers Engineering team, you will play a critical role in designing, implementing, maintaining, and improving the infrastructure that supports OCI`s strategic customers, including GPU customers. 

You will work cross-functionally with data scientists, software engineers, and IT professionals across OCI to ensure that our customers` infrastructure is deployed efficiently, securely, and at scale. Your expertise will be crucial in optimizing our infrastructure for performance, reliability, and cost-effectiveness.

Qualifications:

• 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

• Experience in monitoring and automation tools
• Experience in scaling software infrastructures
• Strong proficiency in at least one modern programming language 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 

 

Career Level - IC4

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