At a Glance
- Tasks: Build and manage Google Cloud infrastructure while solving complex technical challenges.
- Company: Join a rapidly growing global technology consultancy focused on Cloud, Data, and AI.
- Benefits: Enjoy a competitive salary, benefits, and a hybrid work model.
- Other info: Collaborative environment with opportunities for professional growth and innovation.
- Why this job: Make a real impact by working on exciting cloud transformation projects.
- Qualifications: 3+ years in Cloud Engineering with strong GCP and Terraform skills.
The predicted salary is between 63000 - 77000 Β£ per year.
- Cloud Engineer (Google Cloud)
- 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 Big Query, 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 Dev Ops 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
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