DEVOPS Engineer, GCP Engineer

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

Job summary

A forward-thinking financial services firm is seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure that supports high-performance AI systems. You will design, build, and manage scalable infrastructure on Google Cloud while implementing Infrastructure as Code using Terraform. Strong hands-on experience with GCP, Docker, and CI/CD tools is essential. This full-time position offers a salary between £60,000 and £80,000, with a hybrid work setup.

Qualifications

• Strong hands-on experience with GCP services.
• Proficient in scripting with Python or Bash.
• Deep understanding of Docker and Kubernetes.

Responsibilities

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

Skills

GCP services expertise

Scripting with Python or Bash

Docker and Kubernetes proficiency

CI/CD tools experience

Terraform and IaC knowledge

Multi-cloud environments experience

Monitoring tools familiarity

AI/ML infrastructure exposure

Job description

GCP DevOps Engineer - AI Infrastructure (Financial Services)

Location: London

Contract Type: Full-time / Permanent

Work Hours: 2 days in office, 3 days remote

Salary: £60,000 - £80,000 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.

Key Responsibilities

• 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.
• Set up monitoring and alerting systems using Cloud Monitoring, Cloud Logging, and 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.

We encourage applicants of all backgrounds to apply.