GCP AI Infra DevOps Engineer — Hybrid, London

Experis; Filton; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading financial services firm in the UK seeks an experienced GCP DevOps Engineer to architect and maintain cloud-native infrastructure that supports high-performance AI systems. The role involves designing scalable solutions on Google Cloud Platform, implementing Infrastructure as Code, and developing CI/CD pipelines. Ideal candidates will have hands-on experience with GCP services and tools such as Docker, Terraform, and CI/CD platforms. This position offers flexibility with 2 days in the office and 3 days remote.

Qualifications

• Hands-on experience with GCP services, including Compute Engine and Kubernetes.
• Proficient in scripting using Python or Bash.
• Deep understanding of containerization using Docker.

Responsibilities

• Design, build, and manage scalable infrastructure on GCP.
• Implement Infrastructure as Code (IaC) using Terraform.
• Develop and maintain CI/CD pipelines for deployment automation.

Skills

GCP services (Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run)

Scripting with Python or Bash

Docker and Kubernetes for containerization

CI/CD tools (Google Cloud Build, Jenkins, GitHub Actions)

Terraform and IaC tools

Multi-cloud environments

Monitoring tools (Prometheus)

AI/ML infrastructure knowledge

Job description

A leading financial services firm in the UK seeks an experienced GCP DevOps Engineer to architect and maintain cloud-native infrastructure that supports high-performance AI systems. The role involves designing scalable solutions on Google Cloud Platform, implementing Infrastructure as Code, and developing CI/CD pipelines. Ideal candidates will have hands-on experience with GCP services and tools such as Docker, Terraform, and CI/CD platforms. This position offers flexibility with 2 days in the office and 3 days remote.