Description

Cloud Engineer (Google Cloud) Location: London (Hybrid) Type: Permanent Salary: competitive salary + benefits Join a Growing Global Consultancy We're working with a global technology consultancy that is experiencing significant growth across Cloud, Data and AI. With a strong pipeline of Google Cloud projects and increasing demand from enterprise customers, it's an exciting time to join a business investing heavily in its cloud engineering capability. This role offers the opportunity to work on large-scale Google Cloud transformations, helping clients design, build and optimise modern cloud platforms, data environments and AI-driven solutions. The Opportunity As a Cloud Engineer, you'll work closely with Architects and delivery teams to implement production-grade solutions on Google Cloud Platform. You'll be involved in a variety of projects spanning cloud infrastructure, data engineering, platform modernisation and AI technologies. This is a hands-on engineering role suited to someone who enjoys building cloud-native solutions, automating deployments and working directly with customers to solve complex technical challenges. Key Responsibilities * Build, deploy and manage Google Cloud infrastructure using Terraform and Infrastructure as Code principles. * Design and support containerised environments using Kubernetes (GKE), Docker and Cloud Run. * Develop and maintain CI/CD pipelines to enable automated, scalable deployments. * Deliver cloud migration and modernisation projects for enterprise clients. * Build and support data platforms using services such as BigQuery, Dataflow, Dataproc, Pub/Sub and Composer. * Contribute to AI and machine learning solutions using Vertex AI and associated Google Cloud services. * Work closely with clients, architects and stakeholders throughout project delivery. * Apply cloud security, governance and networking best practices across all solutions. Key Experience Required * 3+ years' experience in a Cloud Engineering, Data Engineering, Platform Engineering or DevOps role. * Strong hands-on experience with Google Cloud Platform (GCP). * Expertise in Terraform and Infrastructure as Code. * Experience with Kubernetes/GKE, Docker and containerised workloads. * Knowledge of CI/CD tooling and deployment automation. * Good understanding of cloud networking, IAM, security and governance. * Experience building data platforms and pipelines within GCP. * Exposure to AI/ML services such as Vertex AI or similar cloud-based AI platforms. * Proficiency in Python, Go or Shell scripting. * Previous consultancy, professional services or client-facing project experience would be highly advantageous. * Google Cloud certifications are desirable