Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Programming language experience in python, go, shell scripts.
- 5+ years of experience in DevOps or a related role.
- Proficiency in cloud platforms such as AWS, Azure（prefer）.
- Strong experience with containerization and orchestration tools like Docker and Kubernetes.
- Solid understanding of CI/CD tools such as Jenkins, Azure Pipeline.
- Familiarity with infrastructure as code tools like Terraform or Ansible.
- Familiarity with GitOps
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong communication skills and the ability to collaborate effectively with cross-functional teams.
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Responsibilities:
- Design, implement, and manage scalable, secure, and reliable infrastructure for AI projects.
- Collaborate with data scientists and software engineers to streamline the deployment and operation of AI models.
- Automate the deployment, monitoring, and scaling of AI applications using tools like Kubernetes, Docker, and Terraform.
- Develop and maintain CI/CD pipelines to ensure efficient and error-free code releases.
- Develop and maintain Infrastructure as code (IaC) solutions, automation of deployment, building High Availability network, working on container network
- Monitor system performance, troubleshoot issues, and optimize infrastructure for cost and performance.
- Mentor junior DevOps engineers and provide guidance on best practices and emerging technologies.

基本职责：在工程团队或产品线中执行 DevOps 相关任务。

任职要求：


61 拥有计算机科学、工程或相关领域的学士或硕士学位。
61 具备 Python、Go 语言以及 Shell 脚本的编程语言使用经验。
61 拥有 5 年以上 DevOps 或相关岗位的工作经验。
61 熟练掌握如 AWS、Azure 等云平台（优先考虑）。
61 在容器化和编排工具（如 Docker 和 Kubernetes）方面拥有丰富经验。
61 深入理解持续集成 / 持续交付（CI/CD）工具，例如 Jenkins、Azure Pipeline。
61 熟悉基础设施即代码（IaC）工具，如 Terraform 或 Ansible。
61 熟悉 GitOps。
61 具备出色的问题解决能力，能够在快节奏的环境中工作。
61 拥有较强的沟通能力，能够与跨职能团队进行高效协作。

工作职责：


61 为人工智能项目设计、实施并管理可扩展、安全且可靠的基础设施。
61 与数据科学家和软件工程师合作，简化人工智能模型的部署和运营流程。
61 使用 Kubernetes、Docker 和 Terraform 等工具，实现人工智能应用程序的自动化部署、监控和扩展。
61 开发并维护持续集成 / 持续交付（CI/CD）管道，以确保代码能够高效且无差错地发布。
61 开发并维护基础设施即代码（IaC）解决方案，实现部署自动化，构建高可用性网络，开展容器网络相关工作。
61 监控系统性能，排查问题，并针对成本和性能对基础设施进行优化。
61 指导初级 DevOps 工程师，并就***实践和新兴技术提供指导。