DEVOPS Engineer, GCP Engineer

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

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.

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.
• Develop and maintain CI/CD pipelines using Google Cloud Build, Jenkins, and GitHub Actions.
• Automate deployment workflows and operational tasks to improve efficiency and reduce manual errors.
• Drive adoption of DevOps best practices across engineering teams.
• Build and manage containerized applications using Docker and orchestrate them with Kubernetes.
• Ensure high availability and scalability of AI services through robust orchestration strategies.
• Set up monitoring and alerting systems using Cloud Monitoring, Cloud Logging, Prometheus.
• Troubleshoot infrastructure issues and ensure minimal downtime for critical AI services.

Required Skills

• 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.