1 to 25 of 950 Permanent GCP Jobs in the UK

seeking a dynamic technology leader to join our GCP Platform team as a GCP Sr Architect. This role will be pivotal in building and delivering GCP cloud capabilities and solutions to internal and external clients ensuring the successful transformation of legacy platforms and workloads into robust, scalable, and modern cloud … based workloads and services. Reporting to Director of GCP Platform, this role will be responsible for leading development, sales, solution and delivery of GCP Cloud capabilities. You will lead a team of Sr. Cloud Architects and Engineers to build and deliver GCP Cloud platform capabilities ensuring high availability, security ...

engineering practices Real-world experience building and maintaining CI/CD pipelines and automated testing frameworks Solid experience with cloud platforms (AWS, Azure or GCP) and Infrastructure as Code Knowledge of modern architecture patterns: microservices, event-driven, containerised (Docker/Kubernetes) Experience leading engineering teams through successful delivery Strong grounding ...

scale using Terraform or similar Infrastructure as Code (IaC) tools. Understanding of large-scale deployment strategies, container orchestration (Kubernetes, Docker), and cloud platforms ( GCP, AWS or Azure ). Confidence with continuous integration and continuous deployment (CI/CD) practices, ensuring the smooth delivery and deployment of new features and updates. ...

proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and experience with software architecture patterns. Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker ...

Boot, and microservices Solid understanding of Agile and DevOps practices , with real-world CI/CD delivery Experience with cloud platforms (AWS, Azure or GCP) and Infrastructure as Code Proficiency with automated testing, code quality practices and modern engineering tooling Knowledge of microservices, containers (Docker/Kubernetes), or serverless architectures ...

build, and maintain automated CI/CD pipelines, primarily using Docker/Kubernetes Leverage cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) to design scalable, reliable, and efficient DevOps solutions Set up and optimize virtual infrastructure, including hardware integrations, (sub)system onboarding, and hardware migrations Manage containerized … environments. Hands-on experience with containerization technologies, such as Docker and Kubernetes. Practical knowledge of cloud platforms like AWS, Azure, or Google Cloud Platform (GCP). Familiarity with access and identity management systems (RBAC en IAM) and Agile way of working. Experience with Infrastructure as Code (IaC) tools such ...

across a range of tooling in the following areas: Programming: with at least one language; Python, Go, Java, Ruby, TypeScript etc Cloud: Either AWS, GCP or Azure Container/Orchestration: Docker, Kubernetes IAC: Terraform, Cloud Formation, CrossPlane, Ansible (Config Mgt) CI/CD: CircleCI, GitHub Actions, Jenkins, etc The Role ...

They are seeking a Cloud DevOps Engineer with experience delivering production-ready solutions on Google Cloud. Candidates will ideally have: Hands-on experience with GCP services such as Cloud Functions, Cloud Run, GKE, Compute Engine, VPCs, Cloud Spanner, Cloud SQL, and BigQuery Strong knowledge of microservices, event-driven architectures ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...

concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability to design data ...