Location: London Job Type: Permanent Industry: Cloud & Infrastructure Job reference: 945643542_1761747708 Posted: about 11 hours ago
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
£60000 - 80000 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.
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