GCP DevOps - Agentic AI Engineer

Your responsibilities: Design, provision and manage scalable GCP infrastructure using Terraform and reusable infrastructure-as-code modules within governed landing-zone environments. Build and maintain end-to-end CI/CD pipelines covering build, package, containerise, deploy and release activities, using GitHub Actions or equivalent tooling. Deploy and operate applications across development, UAT and production environments using serverless compute, containers, cloud storage and messaging services. Engineer and support practical AI/GenAI applications and agent-based systems, including enterprise LLM integrations and agent orchestration patterns. Implement secure access controls, service identities, IAM roles and secrets-management practices appropriate for a regulated enterprise environment. Your Profile Essential skills/knowledge/experience: Strong, hands-on cloud engineering experience, with deep practical knowledge of GCP preferred. Proven expertise in Terraform, reusable modules and delivery within structured or governed cloud landing zones. Experience creating end-to-end CI/CD pipelines using GitHub Actions or equivalent, together with Docker-based build and containerisation practices. Demonstrated ability to deploy, configure and troubleshoot cloud applications across Dev, UAT and Prod environments, including runtime issues. Practical experience building or deploying AI/GenAI applications or agent-based systems, with familiarity in LLM integration and agent ..... full job details .....