DEVOPS Engineer, GCP Engineer

Experis; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A financial services firm in London is seeking a skilled GCP DevOps Engineer to design and maintain cloud-native infrastructure for AI systems. Responsibilities include managing scalable infrastructure on GCP, implementing Infrastructure as Code with Terraform, and developing CI/CD pipelines using industry-standard tools. Ideal candidates will have strong experience with GCP, Docker, Kubernetes, and a proactive DevOps approach.

Qualifications

• Strong hands-on experience with GCP services including Compute Engine and Kubernetes.
• Deep understanding of Docker for containerization.
• Expertise in CI/CD tools like Jenkins and GitHub Actions.

Responsibilities

• Design and manage scalable infrastructure on GCP.
• Implement Infrastructure as Code using Terraform.
• Develop and maintain CI/CD pipelines.

Skills

GCP services

Python

Bash

Docker

Kubernetes

Terraform

CI/CD tools

Monitoring tools

AI/ML infrastructure

Tools

Google Cloud Build

Jenkins

GitHub Actions

Prometheus

Job description

Overview

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

£(Apply online only) 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.

Responsibilities

• Infrastructure & Cloud Engineering: Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform (GCP).
• Infrastructure as Code: Implement IaC using Terraform to ensure consistent and secure deployments.
• Cloud services: 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.
• Automation: Automate deployment workflows and operational tasks to improve efficiency and reduce manual errors.
• DevOps culture: Drive adoption of DevOps best practices across engineering teams.
• Containerization & Orchestration: Build and manage containerized applications using Docker and orchestrate them with Kubernetes.
• Reliability: Ensure high availability and scalability of AI services through robust orchestration strategies.
• Monitoring & Reliability: Set up monitoring and alerting systems using Cloud Monitoring, Cloud Logging, Prometheus.
• Operations: Troubleshoot infrastructure issues and ensure minimal downtime for critical AI services.

Qualifications

• Strong hands-on experience with GCP services: Compute Engine, Kubernetes, Cloud Storage, BigQuery, Cloud Run.
• Proficient in scripting with Python or Bash.
• Deep understanding of Docker and Kubernetes for containerization and orchestration.
• Expertise in CI/CD tools: Google Cloud Build, Jenkins, GitHub Actions.
• Proven experience with Terraform and other IaC tools.
• Experience in multi-cloud environments.
• Familiarity with monitoring tools such as Prometheus.
• Exposure to AI/ML infrastructure and data workflows in financial services.

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