高级devops运维工程师

Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in DevOps or a related role.
- Proficiency in cloud platforms such as AWS, Azure.
- 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.
- Programming language experience in python, go, shell scripts.

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.
- 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.