DEVOPS Engineer, GCP Engineer

Experis UK Careers; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading financial services firm in London seeks a GCP DevOps Engineer to architect cloud-native infrastructure supporting AI systems. This full-time role involves designing resilient solutions on Google Cloud Platform and automating deployments using CI/CD practices. Candidates should have experience with Terraform and Kubernetes. The position offers a competitive salary between £60,000 and £80,000, depending on experience, with a hybrid work model.

Qualifications

• Experience in designing and managing infrastructure on Google Cloud Platform.
• Proficient in Infrastructure as Code (IaC) using Terraform.
• Hands-on knowledge of container orchestration using Kubernetes.

Responsibilities

• Design and manage scalable infrastructure on Google Cloud Platform.
• Implement Infrastructure as Code for consistent deployments.
• Develop and maintain CI/CD pipelines for automation.

Skills

GCP cloud infrastructure management

Terraform

CI/CD pipelines

Kubernetes

Tools

Google Cloud Build

Jenkins

GitHub Actions

Job description

GCP DevOps Engineer - AI Infrastructure (Financial Services)

Location : London

Contract Type : Full-time / Permanent

2 days required at Office and 3 from home per week

£60000 - 80000 DOE

Join a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We're seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure that supports high-performance AI systems. This is a hands‑on technical role with strategic impact across infrastructure, automation, and security.

Key Responsibilities

Infrastructure & Cloud Engineering

• Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP).
• Implement Infrastructure as Code (IaC) using Terraform to ensure consistent and secure deployments.
• Utilize GCP services such as Compute Engine , Cloud Run , Cloud Functions , BigQuery , and Kubernetes to support AI workloads.

CI / CD & Automation

• Develop and maintain CI / CD pipelines using Google Cloud Build , Jenkins , and GitHub Actions.

Automate deployment wor...