GCP DevOps Engineer for AI Infra (Hybrid London)

Experis; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading recruitment agency is seeking a GCP DevOps Engineer for a financial services firm in London. This full-time role involves architecting cloud-native infrastructure to support AI systems. Responsibilities include managing GCP, implementing Infrastructure as Code, and developing CI/CD pipelines. Strong experience with GCP services, scripting, Docker, and Kubernetes is essential. This position allows for a hybrid work model, with 2 days at the office and 3 days from home.

Qualifications

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

Responsibilities

• Design, build, and manage scalable infrastructure on GCP.
• Implement Infrastructure as Code using Terraform.
• Develop and maintain CI / CD pipelines.
• Develop and maintain CI / CD pipelines using Google Cloud Build, Jenkins, and GitHub Actions.
• Automate deployment workflows to improve efficiency.
• Build and manage containerized applications using Docker and Kubernetes.
• Set up monitoring and alerting systems using Cloud Monitoring and Prometheus.

Skills

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

Scripting (Python or Bash)

Docker and Kubernetes

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

Terraform and other IaC tools

Multi-cloud environments

Monitoring tools (Prometheus)

AI / ML infrastructure

Job description

A leading recruitment agency is seeking a GCP DevOps Engineer for a financial services firm in London. This full-time role involves architecting cloud-native infrastructure to support AI systems. Responsibilities include managing GCP, implementing Infrastructure as Code, and developing CI/CD pipelines. Strong experience with GCP services, scripting, Docker, and Kubernetes is essential. This position allows for a hybrid work model, with 2 days at the office and 3 days from home.