Cloud Solutions Architect and DevSecOps

Partner with customers to translate business priorities into secure, scalable Azure architectures, guiding decisions with a strong focus on outcomes. Design and validate AI-ready cloud foundations, networking, identity, compute, and data, ensuring platforms are ready to support AI workloads at scale. Help customers move from AI experimentation to production by aligning Copilot and Azure AI services with governance, security, and real operational use cases. Embed Zero Trust, compliance, cost control, and resilience into every architecture, using Azure best practices to support mission-critical and regulated workloads. Lead on-line technical workshops, pilots, and architecture reviews, aligning stakeholders and defining clear next steps while shaping a sustainable, multi-year cloud and AI strategy

Lead Engineer for managing, building, and defining the infrastructure (ARM, CloudFormation, Terraform) and architecture (DDD, Microservices and Kubernetes) in multiple zones for 500k+ users. Work with PoC focused on Copilot, n8n, and other automatization tools. Improving client/developers reliability with CI/CD pipelines reducing delivery time by 80%. Being data-driven and optimizing resource allocation resulting in a 65% reduction in operational expenses. Improve application observability/alarms using tools as Azure Monitor, AWS CloudWatch, Prometheus, and Grafana. Enhanced by 40% the security on Cloud using Microsoft Defender for Cloud, Entra ID, Policies and AWS Control Tower

Key person for infrastructure/Architecture definitions to improve the automation with Terraform for all leading cloud providers (AWS, GCP and Azure) and Kubernetes. Reduced cloud internal operational costs by 15% through rigorous cost analysis and optimization strategies. Improved system reliability by 30%, leading to enhanced developer's satisfaction with CI/CD pipelines. Enhanced security standards by 40% by introducing automated security compliance/governance checks with Microsoft Defender for Cloud