GCP Cloud Engineer

Role: GCP Cloud Engineer / DevOps Engineer (with strong GenAI experience) Location: Remote UK Hours Engagement: Contract, Start in Jan 2026 Industry: Financial Services SmartCo are seeking a highly skilled GCP Cloud Engineer / DevOps professional with hands-on experience in building and deploying GenAI solutions. This role supports a large-scale financial services programme, focusing on modern GCP infrastructure and AI platform enablement across multi-cloud environments (GCP, AWS, Azure), and plays a key role in shaping and optimising GCP infrastructure from an AI perspective, ensuring scalability, automation, and compliance across environments. Key Responsibilities: • Design, build, and maintain GCP cloud infrastructure with enterprise-grade security, scalability, and compliance standards. • Architect and deploy AI-ready GCP environments, translating AWS or Azure AI components into GCP-native GenAI equivalents (Vertex AI, Gemini, Document AI, Vision API). • Implement CI/CD pipelines and IaC using Terraform. • Deploy and manage containerised workloads with Docker and Kubernetes (GKE). • Develop and support GenAI infrastructure, including retrieval pipelines, vector databases, embeddings, and model deployment. • Collaborate with AI engineering teams to design and integrate AI architectures and frameworks into production systems. • Build observability and automation for AI workloads (monitoring, logging, performance optimization) using tools like Cloud Monitoring & Logging. • Ensure best practices in DevSecOps, cost optimization, and cloud governance. Required Skills & Experience: • Strong hands-on experience with GCP Cloud (Compute Engine, GKE, Cloud Run, Cloud Functions, Vertex AI, BigQuery, IAM, Cloud Storage, Deployment Manager/Terraform). • Proven background in DevOps, automation, CI/CD (GitHub Actions, Jenkins, GitLab CI), containerization (Docker, Kubernetes). • Practical exposure to GenAI & AI infrastructure tools, including: o GCP: Vertex AI, Gemini, Document AI, Vision API o AWS: Bedrock, SageMaker, Kendra o Azure: AI Foundry, Cognitive Services, Databricks o Other: LangGraph, LangSmith, Agentic Frameworks, MCP/A2A • Experience with Python or Bash scripting, vector databases, embeddings, and RAG pipelines. • Strong understanding of cloud security, networking, and identity management. • Experience architecting or maintaining AI-oriented GCP infrastructures. • Prior experience in Financial Services or other Corporate/regulated environments. Internal Interviews will take place in December.