GCP Agentic AI DevOps Engineer

About this kind of role

What a GCP Agentic AI DevOps Engineer usually does. The employer's own details are in the listing.

Typically does: This role focuses on building, deploying, and maintaining infrastructure for Artificial Intelligence applications using Google Cloud Platform (GCP). Responsibilities include automating deployment pipelines, managing cloud resources, and ensuring the scalability and reliability of AI models. They often collaborate with data scientists and machine learning engineers to optimize performance and troubleshoot issues. Continuous integration and continuous delivery (CI/CD) practices are central to this position.

Tools and skills: Proficiency in scripting languages like Python, experience with containerization technologies like Docker and Kubernetes, and familiarity with infrastructure-as-code tools such as Terraform are generally required, alongside a strong understanding of GCP services.

Good fit for: Individuals with a background in DevOps and a passion for machine learning, who enjoy automating complex processes and working in a fast-paced environment, often thrive in this role.