4 of 4 Google Kubernetes Engine Jobs in Scotland

services in Python, build APIs and micro-services, implement LLM-based solutions including agentic workflows, and deliver into a multi-cloud environment using Terraform, Kubernetes, and CI/CD pipelines. This role offers you the opportunity to grow your expertise in applied AI engineering while contributing to systems that … with demonstrated ability to critically evaluate and validate AI-generated outputs Strong experience with container orchestration platforms (Kubernetes distributions such as EKS, AKS, GKE or OpenShift, or managed equivalents such as ECS or Azure Container Apps), and with the cloud infrastructure that supports them. Experience with relational and/ ...

security, and ethical AI standards. Key Responsibilities: Strategy & Design: Define end to end architectures for AI, ML, data, and agentic AI solutions running on Google Cloud Platform.Develop and maintain iterative designs aligned to modern engineering practice. Ensure alignment to platform strategy, technology standards, and security controls. Technical … Leadership: Deliver high-quality, secure solutions using GCP cloud-native services, and event- driven patterns. Architect GCP workloads using services such asBigQuery, Cloud Run, GKE, Cloud Storage, Dataflow, Pub/Sub, Vertex AI, Looker, and Cloud Composer. Cloud, Platform & Integration: Apply strong understanding of Kubernetes, service mesh, ingress, workload ...

security, and ethical AI standards. Key Responsibilities: · Strategy & Design: Define end to end architectures for AI, ML, data, and agentic AI solutions running on Google Cloud Platform.Develop and maintain iterative designs aligned to modern engineering practice. Ensure alignment to platform strategy, technology standards, and security controls. · Technical … Leadership: Deliver high-quality, secure solutions using GCP cloud-native services, and event- driven patterns. Architect GCP workloads using services such asBigQuery, Cloud Run, GKE, Cloud Storage, Dataflow, Pub/Sub, Vertex AI, Looker, and Cloud Composer. · Cloud, Platform & Integration: Apply strong understanding of Kubernetes, service mesh, ingress, workload ...

design of scalable, resilient, and highly secure data and artificial intelligence platforms, bridging commercial requirements with modern engineering execution. Operating across a cutting-edge Google Cloud Platform (GCP) ecosystem, you will drive strategic initiatives spanning Machine Learning, LLMOps, Retrieval-Augmented Generation (RAG), agentic AI, and large-scale cloud migrations. … security controls, and ethical AI practices. Cloud-Native Technical Leadership: Architect secure, high-performance workloads using GCP services including Vertex AI, BigQuery, Cloud Run, GKE, Dataflow, Pub/Sub, Cloud Storage, Looker, and Cloud Composer. Enterprise Integration & Security: Design robust API and service integration patterns utilising Istio service mesh ...