DEVOPS Engineer, GCP Engineer

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

Job summary

A leading financial services firm is seeking a skilled GCP DevOps Engineer to architect and maintain cloud-native infrastructure supporting high-performance AI systems. The role requires expertise in Google Cloud Platform, containerization with Docker, CI/CD practices using tools like Jenkins and GitHub Actions, and proficiency in Infrastructure as Code with Terraform. The position is primarily hybrid, with two days in the office, leveraging innovative technologies to enhance decision-making and customer experience.

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.
• Familiarity with monitoring tools such as Prometheus.

Responsibilities

• Design, build, and manage scalable, resilient infrastructure on Google Cloud Platform.
• Develop and maintain CI/CD pipelines using Google Cloud Build and Jenkins.
• Build and manage containerized applications using Docker and orchestrate them with Kubernetes.
• Set up monitoring and alerting systems using Cloud Monitoring and Prometheus.

Skills

Google Cloud Platform services experience

Scripting with Python

Docker expertise

Kubernetes proficiency

CI/CD tools knowledge

Infrastructure as Code (Terraform)

Multi-cloud experience

Monitoring tools familiarity

Exposure to AI/ML workflows

Tools

Google Cloud Build

Jenkins

GitHub Actions

Terraform

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.

CI/CD & Automation

• 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.

Containerization & Orchestration

• Build and manage containerized applications using Docker and orchestrate them with Kubernetes.
• 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
• 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.