6 of 6 Permanent Google Compute Engine Jobs in London

also need you to contribute to developing the team, perhaps by sharing your expertise or mentoring teammates.QualificationsWhat We’re Looking forPA is a Google Cloud Premier Partner and we create innovative solutions using the whole spectrum of Google Cloud products and services, as well as other leading cloud … your understanding of cloud technologies, architectures and techniques that are most important.You probably have experience in designing and delivering solutions on Google Cloud, perhaps using serverless products such as Cloud Run, or infrastructure such as Compute Engine and GKE, AI such as Vertex AI, ADK or Agent ...

understand integration requirements and develop comprehensive test strategies. Design and develop automated test scripts using industry-standard testing frameworks and tools tailored for Google Cloud Platform services. Create and maintain test data sets and environments to simulate real-world scenarios and ensure thorough test coverage. Conduct performance and scalability … troubleshoot issues encountered during integration testing, working closely with development teams to prioritize and resolve defects. Continuously monitor and evaluate the latest advancements in Google Cloud Platform technologies and incorporate best practices into the testing process. Contribute to the enhancement of CI/CD pipelines to enable automated deployment ...

Authority (TDA) sessions for cloud engagements, owning governance gates, decision records, and design sign-off.Architect multi-cloud solutions spanning AWS, Azure, and GCP across compute, storage, networking, and identity, selecting the right platform and services for each workload.Lead migration strategy and execution for on-premises to cloud programmes: workload … multi-region connectivity.Migration tooling: Azure Migrate for assessment, replatforming, and cutover.Containers: AKS architecture for modernised workloads.GCP (Strong Working/Expert Level)Core services: Compute Engine, VPC, Cloud Storage, and Cloud IAM.Landing zone: Resource Manager hierarchy and Organization Policy design.Networking: Cloud Interconnect and hybrid connectivity design.Migration tooling: Migrate ...

focused on improving software delivery, cloud platform capabilities, security, architecture standards, and developer productivity. The ideal candidate will have hands‐on experience within the Google Cloud Platform (GCP) ecosystem and a strong interest in modern DevOps and platform engineering practices. How you’ll CREATE: The responsibilities of this position … practical experience with Terraform, Chef, Git, Vault, Jira, and Confluence. Experience with Kubernetes platforms (EKS, GKE) and containerised environments. Hands‐on experience with EC2, Compute Engine, Lambda, RDS, and related cloud services. Scripting experience using Python, PowerShell, Bash, Golang, and cloud CLIs. Experience supporting Linux (AWS Linux, Ubuntu ...

What will you bring to the table? Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery). Strong experience in Python and fluency in another language. Knowledge of Infrastructure as Code tools (e.g. … date with new technology in the AI space. Nice to have: Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI. Familiarity with frameworks for building complex, multi‐step generative AI applications, like LangGraph. Experience with Agent‐to‐Agent (A2A) communication or coordination ...

using Terraform for GCP environments. Ensure infrastructure configurations are scalable, reliable, and follow best practices. GCP Platform Management: Architect and manage GCP environments, including compute, storage, and networking components. Collaborate with cross-functional teams to understand requirements and provide scalable infrastructure solutions. Vertex AI Integration: Work closely with data … with Wiz Security Control and its integration for continuous security monitoring in GCP environments. GCP Services: In-depth knowledge of various GCP services, including Compute Engine, Cloud Storage, VPC, and IAM. Automation Tools: Proficiency in scripting languages (e.g., Python, Bash) and automation tools for GCP resource management. Security ...