We are looking for a senior AI Infrastructure Engineer to design, build, and operate robust AI/ML infrastructure on public cloud platforms. The ideal candidate will have deep hands-on experience in cloud-native environments, container orchestration, Infrastructure as Code, CI/CD, and observability, ensuring scalable, secure, and efficient AI workloads.
我们正在招聘一名资深的 AI基础架构工程师，负责在公有云环境中设计、搭建和运营稳定高效的AI/ML基础架构。理想候选人需要具备云原生环境、容器编排、基础设施即代码、CI/CD 以及可观测性方面的丰富实战经验，确保AI工作负载的可扩展性、安全性和高性能。

• ■Senior level hands-on experience with deployment and operations on public cloud platforms (AWS/Azure/GCP or domestic platforms like Alibaba Cloud/Tencent Cloud).
  具备资深水平的公有云平台实战经验，能够在 AWS/Azure/GCP 或阿里云/腾讯云等国内平台上独立完成系统的部署与运维。

• ■Proficient in containerization technologies (Docker) and container orchestration tools (Kubernetes).
  精通容器化技术（Docker）以及容器编排工具（Kubernetes），具有实际生产环境经验。

• ■Skilled in using Infrastructure as Code tools (e.g., Terraform, Ansible) for environment management.
  熟练使用基础设施即代码工具（如 Terraform、Ansible）进行环境管理和自动化运维。

• ■Practical experience in building, maintaining, and optimizing CI/CD pipelines (familiar with tools like GitHub Actions/GitLab CI/Jenkins).
  具备搭建、维护和优化 CI/CD 流水线的实践经验，熟悉 GitHub Actions、GitLab CI、Jenkins 等工具。

• ■Familiar with monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK Stack).
  熟悉监控、日志与告警系统（如 Prometheus、Grafana、ELK Stack），能独立完成监控体系的搭建与优化。

• ■Senior level knowledge of computer networking, DNS, CDN, and other related fundamentals.
  具备资深水平的计算机网络基础知识，熟悉 DNS、CDN 等相关原理和配置。