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.
- 4 to 7 years of relevant experiences
- 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
Tech you bring
Linux kernel programming, Operating system fundamentals, Shell scripting, Kubernetes, AWS, Jenkins
Tech you'll learn
Artificial Intelligence, Generative AI, Large Language Models
We win with inclusion
Successful candidates might be required to undergo a background verification with an external vendor.