Senior Information Technology Engineer
3 weeks ago
Senior IT Engineer - AI Infrastructure Management
Job Summary
We are seeking a highly skilled Senior IT Engineer to lead and maintain a cutting-edge AI development and training infrastructure. This role focuses on managing GPU servers, Kubernetes clusters (via Rancher), and large-scale storage systems to ensure smooth, optimized performance across all operations. As a key technical leader, you will collaborate closely with development teams to provide robust support and resources, enabling seamless project execution.
Key Responsibilities:
- Kubernetes and Rancher Management: Configure, scale, and maintain Kubernetes clusters and Rancher for multi-cluster environments, ensuring optimal resource allocation and high performance.
- GPU Resource Management: Oversee GPU servers and resources, managing scheduling, load balancing, and performance tuning for AI workloads.
- Storage Management: Maintain and optimize large-scale storage systems, guaranteeing high availability, superior performance, and data persistence.
- DevOps and Automation: Implement and manage CI/CD pipelines, leveraging tools like Terraform, Ansible, Jenkins, and GitLab CI to streamline infrastructure operations.
- Monitoring and Troubleshooting: Set up and maintain monitoring and logging systems (e.g., Prometheus, Grafana, ELK) to ensure maximum availability and rapid issue resolution.
- AI Framework Optimization: Work with data scientists and AI developers to enhance AI frameworks (e.g., TensorFlow, PyTorch) for optimal performance on GPU and cluster environments.
- Security and Access Management: Establish and manage role-based access control (RBAC), ensuring data security, encryption, and backup protocols are in place.
- Team Support and Collaboration: Provide technical support and training for AI teams, promoting effective infrastructure use and smooth operational flow.
Required Qualifications:
- Demonstrated experience in managing large-scale Kubernetes clusters and containerization technologies (e.g., Docker).
- Strong understanding of GPU resource management and optimization tailored to AI workloads.
- Expertise in managing large storage systems and implementing robust data persistence strategies.
- Proficiency in scripting and automation (Python, Bash, Go) with hands-on experience in Infrastructure as Code (IaC) tools like Terraform and Ansible.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and experience in optimizing them for high-performance environments.
- Proficient in using monitoring and logging tools such as Prometheus, Grafana, and ELK.
- Excellent communication and collaboration skills, with a proactive approach to troubleshooting and supporting technical teams.
Desired Qualifications:
- Experience with Rancher or other Kubernetes management platforms.
- Familiarity with hybrid cloud environments.
- Preferred certifications: Red Hat Certified System Administrator (RHCSA), Certified Kubernetes Administrator (CKA).
- Mandarin proficiency is advantageous.
About the Company:
By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice here.
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