DevOps Engineer - London

• 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.

Technologies:

• AI
• Architect
• BigQuery
• Bash
• CI/CD
• Cloud
• DevOps
• Docker
• GCP
• GitHub
• Support
• Jenkins
• Kubernetes
• Prometheus
• Python
• Security
• Terraform
• Business Intelligence
• Marketing
• SAP

• 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 Infrastructure as Code (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 are a forward-thinking financial services firm leveraging AI to transform decision-making and customer experiences. We are 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. The position is full-time and requires 2 days at the office and 3 days from home per week, offering a competitive salary based on experience.