AI基础设施工程师 - SRE（Kubernetes）

We are a fast-growing AI infrastructure company building cutting-edge GPU cloud platforms and high-performance inference solutions that empower AI developers, startups, and enterprises worldwide. As we scale our global operations, we are looking for a skilled and hands-on AI Infra Engineer – SRE (Kubernetes) to join our Global Infrastructure team.

Bachelor’s degree in Computer Science, Engineering, or a related technical field. 3+ years of practical experience in data center operations, infrastructure engineering, or site reliability engineering. Strong background in infrastructure automation using tools such as Terraform and Ansible. Deep hands-on experience with Kubernetes in large-scale environments, including: NVIDIA GPU Operator for GPU driver management, device plugins, container toolkit, and monitoring (DCGM). NVIDIA Network Operator for high-performance networking, RDMA, and GPUDirect support. CNI (Container Network Interface) and CSI (Container Storage Interface) plugins tailored for AI/ML workloads. Integration with job schedulers such as Slurm in Kubernetes clusters. Proficiency in Linux system administration and scripting (Python, Bash). Experience with observability stacks including Prometheus, Grafana, and Loki. Solid understanding of GPU architecture, NVIDIA CUDA, NCCL, and AI/ML frameworks is a strong plus. Excellent troubleshooting skills with the ability to analyze complex system logs and performance metrics. Strong communication and collaboration skills to work effectively with engineering and operations teams.