3 of 3 Google Kubernetes Engine Jobs in Edinburgh

making it fast for researchers and engineers to work on, and impossible to misuse. What you'll be doing: Design, build, and operate the Kubernetes-based platform hosting agentic research workloads, including ephemeral and isolated execution environments. Own infrastructure-as-code across GCP using Terraform, delivering reproducible, reviewable … RBAC, and multi-tenancy isolation. Strong Terraform and infrastructure-as-code skills, with a track record of managing production cloud estates. Substantial GCP experience (GKE, IAM, VPC/networking, Cloud Build/Artifact Registry, or equivalents) - or comparable depth in another major cloud with willingness to work in GCP.Container ...

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 ...

Provide technical leadership and influence both technical and non-technical stakeholders. Ideally have banking/payments/core banking exposure, plus tools like Apigee, GKE/Kubernetes, Harness, ArchiMate, BDD/TDD, and AI governance/responsible AI. Key filter: They don't want just a senior developer, tech ...