Overview
Senior GCP Cloud Engineer specializing in Generative AI solutions for banking clients. Hands-on building production infrastructure on Google Cloud Platform with a focus on security, compliance, and operational excellence.
Location: Rome, Latium, Italy (partial remote/onsite as applicable).
About The Project
Join Neurons Lab as a Senior GCP Cloud Engineer working on Generative AI solutions for banking clients. You will be hands-on building production infrastructure on Google Cloud Platform while contributing to architecture design with emphasis on security, compliance, and operational excellence.
Your Impact
* Build cloud infrastructure using Terraform, Kubernetes, and Docker.
* Work across multiple banking GenAI projects, implementing architectures, creating reusable IaC patterns, and maintaining high security standards.
Duration & Reporting
Part-time long-term engagement with project-based allocations. Direct report to Head of Cloud.
Objective
Build and operate GenAI cloud infrastructure for banking clients on Google Cloud Platform.
* Engineering Excellence: Build production infrastructure using Terraform, deploy on Kubernetes/GKE, containerize with Docker, implement CI/CD pipelines.
* Architecture Support: Contribute to architecture design, create technical specifications, and provide engineering insights during solution design.
* Client Success: Implement secure, scalable, cost-effective solutions aligned with GCP best practices and financial regulations.
* Knowledge Transfer: Create reusable IaC patterns, comprehensive documentation, and operational runbooks.
KPIs
* Deploy infrastructure through IaC (Terraform) with zero manual configuration.
* Create at least 3 reusable IaC components or architectural patterns per quarter.
* Implement CI/CD pipelines for all projects with automated testing and deployment.
* Document architecture and implementation details for knowledge sharing.
* Maintain 95%+ uptime for production GenAI endpoints.
Areas of Responsibility
Cloud Engineering (70%)
* Build and maintain GCP infrastructure using Terraform; develop reusable modules for GenAI patterns.
* Deploy and manage applications on GKE; Kubernetes manifests, Helm charts, container security.
* Containerize applications with Docker; multi-stage builds, optimization, security.
* Develop Python applications: FastAPI backends, GenAI integration (RAG, LLM apps, chat interfaces).
* Deploy GenAI model serving: Vertex AI endpoints, containerized models on GKE, vector databases.
* Implement CI/CD pipelines: Cloud Build, GitHub Actions, automated testing and deployment.
* Security & compliance: IAM, VPC Service Controls, encryption, banking regulations (PCI-DSS, GDPR, MAS TRM).
* Cost optimization: GPU/TPU workload optimization, spot VMs, auto-scaling, monitoring.
* Manage GPU resources, ML pipelines, model performance monitoring.
Architecture Support (30%)
* Contribute to GCP architecture design for GenAI solutions (RAG, LLM applications, ML platforms).
* Create technical specifications, provide cost estimates and feasibility input.
* Participate in technical presentations and demos.
* Stay current with GCP AI/ML services (Vertex AI, Gemini, etc.).
Skills & Knowledge
Certifications & Core Platform
* Google Cloud Certified Professional Cloud Architect (REQUIRED - active).
* Core GCP services: GCE, GKE, Cloud Run, Vertex AI, VPC, IAM, Cloud KMS, Secret Manager.
* AWS Certified Solutions Architect (strong plus); multi-cloud experience valued.
Must-Have Technical Skills
* Terraform (expert); GCP infrastructure, reusable modules, best practices.
* Kubernetes/GKE (expert); deployment strategies, security, networking, Helm.
* Docker (expert); containerization, multi-stage builds, optimization.
* Python (advanced); OOP, async, FastAPI/Flask, GenAI libraries (LangChain, LlamaIndex).
* GenAI: LLMs, RAG, vector databases, prompt engineering, Vertex AI.
* GPU/TPU management; optimization for training/inference workloads.
* CI/CD pipelines: Cloud Build, GitHub Actions, GitLab CI.
* Linux/UNIX administration, networking fundamentals.
Strong Plus
* Banking/FSI experience with compliance (PCI-DSS, GDPR, MAS TRM).
* Multi-cloud architecture experience.
* Modern DevOps practices and monitoring tools.
Communication
* Advanced English (written and verbal).
* Client-facing presentations and demos.
* Technical documentation.
Experience
* 5+ years in cloud engineering, DevOps, or solution architecture roles.
* 2+ years hands-on with GCP (GCE, GKE, Vertex AI); AWS experience is a strong plus.
* 2+ years with Terraform for GCP – reusable modules, automation.
* 2+ years with Kubernetes (GKE preferred) and Docker in production.
* 2+ years Python programming – APIs (FastAPI/Flask), GenAI applications.
* GenAI/ML workloads (strong plus) – LLM apps, RAG systems, GPU/TPU compute.
* Banking/FSI experience (strong plus) – financial services clients, compliance, security.
Questions for Applicants
* GCP Certification: Confirm your Google Cloud Certified Professional Cloud Architect status (cert ID, issue date, expiration).
* GCP GenAI Experience: Describe a GenAI project on GCP; services used; architecture; challenges.
* Terraform & Kubernetes on GCP: Examples of Terraform + GKE patterns; module structure.
* Banking/FSI Experience: Describe projects, compliance requirements, and security controls.
* AWS Background: Level of AWS experience and any multi-cloud projects.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering and Information Technology
* Industries: IT Services and IT Consulting
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