Cloud Engineer (Google Cloud)
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.