Michael Tedescucci
Verified Expert in Engineering
Enterprise Cloud Solution Architect and Developer
Foxborough, MA, United States
Toptal member since April 21, 2026
Michael is a strategic enterprise cloud solution architect with extensive experience bridging the gap between complex business objectives and technical execution. He specializes in delivering high-value, scalable architectures by combining long-term technical strategy with the hands-on astuteness required for seamless implementation. Michael has guided organizations through digital transformations, ensuring every cloud investment drives measurable business growth and operational excellence.
Portfolio
Experience
- VMware - 20 years
- Solution Architecture - 20 years
- Identity & Access Management (IAM) - 14 years
- Amazon Web Services (AWS) - 12 years
- Cloud Networking - 12 years
- Google Cloud - 10 years
- GCP Security - 8 years
- Google AI Platform - 5 years
Preferred Environment
Google Cloud, Amazon Web Services (AWS), Microsoft Azure, VMware, Cloud Networking, Terraform, Prompt Engineering
The most amazing...
...project I've implemented was a solution that accelerated the diagnosis of breast cancer for a local health provider.
Work Experience
Owner | Consultant
Vistamattutina
- Established a technical consulting services-based company to assist in transformative projects across networking, security, data, and artificial intelligence.
- Consulted on an engagement with a major clothing retailer in multiple aspects of their cloud security posture management and the implementation of their Google Cloud platform to conform to the designed governance framework.
- Worked very closely with Google Cloud on roadmapped technologies that will assist in moving the retail organizations' platform forward.
Google Cloud Architect (Contract)
Analog Devices
- Implemented Portkey.ai gateway and enabled MCP buildout for developers to have a standard set of tools to build AI agents across the organization, supported AI models. Provided governance, guardrails, quotas, and observability to LLM usage.
- Utilized the Google Cloud Well-Architected Framework, redesigned the landing zone for security, cost, and performance optimization, reliability, and operational excellence.
- Applied Cloud KMS across storage and compute services to enforce encryption requirements and support separation-of-duty controls within the new landing zone design.
Cloud FinOps Automation Architect
Redapt
- Investigated the validity of Google Cloud projects under the customer's organization, reducing the number of valid projects and resources by 83% and achieving approximately $290,000 in monthly cost savings.
- Integrated the Google Cloud landscape into customers’ visualization and reporting tools, such as Stacklet, Grafana, and Tenable, to provide different teams with reporting capabilities for the Google Cloud environment.
- Integrated Okta capabilities for authentication and authorization for access to the Google Cloud console and SDK toolkit, as well as Sailpoint for request-to-fulfillment for new projects in their Google Cloud organization.
Senior Cloud Architect
GXO Logistics
- Led the transformation of on-premises data centers to Google Cloud (GCP and GCVE, Azure, and AWS, ensuring security and scalability. Implement Infrastructure as Code solutions (Terraform, Go) and develop FinOps practices to optimize cloud spend.
- Architected and implemented Google Apigee API Gateway to use as a model gateway with security, governance, budgets, and analytics to major LLM providers like Gemini, OpenAI, Anthropic, Meta, LLaMa, etc.
- Leveraged Vertex AI Vision models (e.g., product search, classification, custom models) to analyze images/video of physical products, automatically extracting identifying features and key attributes.
Senior Infrastructure Architect
Lemongrass
- Led, as a Google Cloud SME, the creation of organizational artifacts (architectural diagrams, infrastructure blueprints, automation standards, etc.) to provide a scalable, flexible, and sustainable foundation for the migration of SAP customers to GCP.
- Conducted workshops to gather information from global organizations, enabling the creation of effective landing zones for stable and scalable deployments.
- Led technical pre-sales opportunities involving Advanced Security, SAP Datasphere to Google BigQuery migrations and integrations.
Enterprise Cloud Architect
Acushnet Holdings Corp
- Architected the organization’s technology roadmap, blueprints, and repeatable patterns in relation to private, hybrid, and public clouds.
- Worked in conjunction with the organization’s business, application, data, security, and infrastructure teams to provide the standards and guardrails to modernize and transform the business.
- Drove cloud strategy and governance. Led the implementation of key cloud governance frameworks (to standardize security, compliance, and cost management across AWS, Azure, and GCP deployments, effectively eliminating shadow IT and optimizing spend.
- Championed cloud adoption and optimization: Spearheaded the adoption of SAP S/4HANA on Azure and established the foundation for Google Cloud to support Acushnet's Manhattan Active Warehouse Management System.
- Collaborated with enterprise architects to develop an application capability matrix and certification process to consolidate the application footprint. Created business architecture models to ensure alignment between technology and business goals.
Experience
Cloud Integration for Medical Device Data Streaming
Complex Global Multicloud Networking and Security Implementation Project
SaaS Platform for Sales Intelligence
Governance Platform for AI LLM Access
Certifications
Google Cloud Generative AI Leader
Google Cloud Professional Cloud Architect
Google Cloud
Microsoft Azure AZ-900
Microsoft
AWS Certified Cloud Practitioner
AWS
Google Cloud Digital Leader
Computer Engineering
Computer Learning Center
Skills
Libraries/APIs
Google Cloud API, Apigee
Tools
Google Compute Engine (GCE), VMware, Terraform, Google AI Platform, GCP Security, Equinix Fabric, BigQuery, Google Kubernetes Engine (GKE)
Platforms
Google Cloud Platform (GCP), Amazon Web Services (AWS), Vertex AI, Cloud Run, Google Cloud Engine
Storage
Google Cloud
Languages
Python
Paradigms
DevOps, Model Context Protocol (MCP)
Other
Prompt Engineering, Google, Leadership, Identity & Access Management (IAM), Solution Architecture, Business Continuity & Disaster Recovery (BCDR), Cloud Engineering, Customer Success, Enterprise Architecture, GCP DevSecOps, CI/CD Pipelines, Multicloud, Infrastructure as Code (IaC), Google Network Connectivity Center, Microsoft Azure, Cloud Networking, Computer Engineering, Application Security, Scalability, Cisco, Design, Technical Requirements, Business Requirements, Contact Center as a Service, Speech to Intent, portkey.al, OpenAI, Anthropic, Artificial Intelligence (AI), Hugging Face, Google Cloud Security Command Center (SCC), Technology Consulting, PaloAlto PRISMA, Agentic AI Systems, Terraform Cloud, Google Load Balancer, Google Cloud VMWare Engine, AlloyDB, Google Cloud Landing Zone, Organization Policies, Google Cloud Network Connectivity Center, Cisco MultiCloud Defense, FinOps, Labeling, Tagging, SailPoint IdentityNow (IDN), Okta, Mainframe Operations, Mainframe Programming, Cloud Migration, SAP on Google Cloud, Manhattan Active, SAP
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