DEVOPS Engineer, GCP Engineer

GCP Dev Ops 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 Dev Ops 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.

• 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
  , Big Query
  , and Kubernetes to support AI workloads.

• Develop and maintain CI/CD pipelines using Google Cloud Build
  , Jenkins
  , and Git Hub Actions
  .
• Automate deployment workflows and operational tasks to improve efficiency and reduce manual errors.
• Drive adoption of Dev Ops 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.

• Strong hands-on experience with GCP services
  :
  Compute Engine, Kubernetes, Cloud Storage, Big Query, 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, Git Hub 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.