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,
Linux kernel programming, Operating system fundamentals, Shell scripting, Kubernetes, AWS, Jenkins
Tech you'll learn
Artificial Intelligence, Generative AI, Large Language Models