Google Cloud Engineer — Hybrid, Data & AI Focus

Lynx Recruitment Ltd; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Lynx Recruitment Ltd in London is seeking a Cloud Engineer (Google Cloud) to join a growing global tech consultancy. The role is hybrid and focuses on delivering Google Cloud, data and AI projects for enterprise clients.

You will build and modernise cloud infrastructure, manage containerised workloads and data pipelines, using Terraform, Kubernetes and CI/CD pipelines, working closely with architects and stakeholders.

Qualifications

• 3+ years in Cloud/Platform/DevOps roles.
• Strong hands-on with Google Cloud Platform (GCP).
• Expertise with Terraform and IaC.
• Experience with Kubernetes/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/pipelines in GCP.
• Exposure to Vertex AI or similar cloud AI services.
• Proficiency in Python, Go or Shell scripting.

Responsibilities

• Build, deploy and manage Google Cloud infrastructure using Terraform and IaC.
• Design and support containerised environments using Kubernetes (GKE), Docker and Cloud Run.
• Develop and maintain CI/CD pipelines for automated, scalable deployments.
• Deliver cloud migration and modernisation projects for enterprise clients.
• Build and support data platforms using BigQuery, Dataflow, Dataproc, Pub/Sub and Composer.
• Contribute to AI/ML solutions using Vertex AI and related GCP services.
• Collaborate with clients, architects and stakeholders throughout project delivery.
• Apply cloud security, governance and networking best practices across solutions.

Skills

GCP expertise

Terraform

Kubernetes

CI/CD

Python

Go/Shell scripting

Client-facing

Tools

Terraform

Kubernetes (GKE)

Docker

CI/CD tooling

Job description

Lynx Recruitment Ltd in London is seeking a Cloud Engineer (Google Cloud) to join a growing global tech consultancy. The role is hybrid and focuses on delivering Google Cloud, data and AI projects for enterprise clients.

You will build and modernise cloud infrastructure, manage containerised workloads and data pipelines, using Terraform, Kubernetes and CI/CD pipelines, working closely with architects and stakeholders.