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.