What you’ll do  

• Work with AI DevOps team to manage AI product and services globally. 
• Lead the process of moving applications from development to production and make sure our products run smoothly in production.  
• Design, implement, and manage DevOps capabilities using CI/CD toolsets and automation.  
• Analyze the existing infrastructure and provide expertise on containerization and migration to Kubernetes (K8S).  
• Work on infrastructure as code and ensure teams have the environments, deployment pipelines, and tools necessary to be efficient, e.g., automate processes for environment setup, deployments, monitoring and debugging, etc. 
• Identify and address security and performance issues. Maintain a strong focus on quality and customer satisfaction. 

What you bring  

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related discipline that provides a solid background in software development. 
• Experience with cloud tools such as Cloud Foundry, Kubernetes, Docker, Jenkins, Ansible, Kibana, Grafana, or Dynatace. 
• Good technical understanding of the intersection of development and operations (DevOps), monitoring/management/deployment tools and processes.  
• Experience with public cloud infrastructure such as AWS, Azure, or GCP.  
• You are an excellent collaborator with good communication skills. 
• Fluency both written and spoken in English,