GCP CloudOps Engineer

£40,000 to 73,000 GBP

Bonus

Hybrid WORKING

Location: Manchester, North West - United Kingdom Type: Permanent

GCP CloudOps Engineer

£40,000 - £73,000 + Bonus

Manchester | Hybrid

Hiring across multiple levels (mid, senior & lead)

We're hiring CloudOps engineers to help run and improve large-scale Google Cloud environments used by enterprise customers.

This is a hands-on operations and engineering role focused on reliability, automation, supportability, and continuous improvement across cloud platforms. You'll work closely with infrastructure, platform, and development teams to keep systems stable, secure, and scalable.

We're open to different levels of experience, so whether you're already leading cloud operations or you're looking to step into a more senior role, we'd like to hear from you.

What you'll be doing • Managing day-to-day operations across GCP environments

• Monitoring cloud platforms and responding to incidents, alerts, and service issues


• Troubleshooting infrastructure, networking, and application-related problems


• Improving platform reliability through automation and operational improvements


• Writing scripts and tooling to remove manual processes and improve efficiency


• Supporting CI/CD pipelines and deployment processes


• Working with developers and engineering teams to improve platform performance


• Managing IAM, security controls, and cloud governance standards


• Producing operational documentation, runbooks, and technical guides


• Supporting production environments as part of an on-call rota

Senior and lead engineers will also help mentor other team members, review technical approaches, and drive operational best practices across the wider platform team.

Tech stack / experience

We're looking for people with experience in some of the following: • Google Cloud Platform (GCP)

• Compute Engine, GKE, Cloud Run, networking, IAM, logging/monitoring


• Infrastructure support within cloud or platform environments


• Terraform or infrastructure-as-code tooling


• Python, Bash, or similar scripting languages


• CI/CD pipelines and DevOps tooling


• Kubernetes or containerised workloads


• Monitoring and observability tooling


• Linux administration


• Incident management and root cause analysis

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