Chief Technology Officer · Distinguished Engineer · AI Architect
Building production AI systems and governing enterprise architecture
at the intersection of regulated cloud and executive strategy.
Tysons, VA — Remote / Hybrid
Matthew Venne — Tysons, VA
Profile
In 2013, Matthew Venne couldn't spell SSH. His degrees — B.S. Physics and B.A. French from James Madison University — had nothing to do with computers. His first real job was receptionist. When the CEO offered him a SharePoint help desk role, he had no idea what it entailed. He said yes anyway. His principle: don't deny yourself an opportunity just because you feel unprepared — you always underestimate yourself and overestimate the competition.
What followed was a decade of relentless, deliberate upskilling. Certifications came one by one — earning every active AWS certification to become an AWS Gold Jacket Recipient, then GCP Professional Cloud Architect, then all three Kubernetes certifications: CKA, CKAD, and CKS. Between jobs, he opened his own cloud accounts and built things purely to understand how they worked. His philosophy: invest in yourself the way you invest in entertainment — people will pay $200/month for streaming but balk at $20 on a cloud lab that advances their own career.
The arc accelerated. Help desk → SharePoint administrator → cloud engineer → Senior Architect → Chief Technology Officer and Distinguished Engineer at StackArmor. Today he leads 40+ engineers across GCP, AWS, and AI innovation, governing FedRAMP-authorized platforms that serve government agencies at 99.99% uptime — and building what may be the most capable autonomous AI system operating in a regulated production environment.
The governing principle hasn't changed since day one: "It's not the amount of years in your experience — it's the amount of experience in your years."
Selected Work
Architected and built from the ground up — a hardened, FIPS-compliant, near-zero-vulnerability Rust-based agentic platform (variant of the OpenClaw framework) running on Google Cloud Run in a FedRAMP production SaaS environment. Leverages Vertex AI Gemini to autonomously execute SRE and compliance workflows without human intervention: incident response, tenant provisioning, Ansible playbook generation, FedRAMP 20x vulnerability analysis, and Significant Change Notification drafting.
A purpose-built Go CLI serving as the secure, zero-trust interface between Peregrine and the enterprise security stack — VCS, Change Management, EDR, Vulnerability Management, and CSPM. Designed as an MCP-callable tool and Claude Code subprocess, enabling "LLM proposes, CLI executes, log proves" compliance automation patterns. Uses GCP Service Account Impersonation and Identity-Aware Proxy for auditable, credential-less automation. Reduced agent token usage by 25% and response time by 40%.
Authored the multi-year architecture roadmap establishing GCP as the organization's default execution layer. Terraform- and Ansible-managed infrastructure supporting six government agencies, 17 SaaS cells, 100+ VMs and databases, and 20+ TB of managed data — sustained at 99.99% uptime. Led modernization of two production SaaS platforms, reducing operational costs 70%+ ($1M annual savings) while improving reliability, deployment velocity, and security posture.
Established enterprise AI governance framework: usage policies, risk guardrails, model access controls, audit logging, and boundary-aware orchestration — enabling organization-wide AI adoption within FedRAMP authorization boundaries. Led AI enablement across 40+ engineers: prompting standards, review workflows, approved model and tool combinations, IP protection policies, and data handling guardrails. Certified IEEE CertifAIEd Assessor for Responsible AI.
Technical Domains
Career
Credentials & Writing
AWS Gold Jacket
Speaking on Container Security · AWS Community Event · Boston, MA
AWS Gold Jacket · All Certifications Active
AI Security · AWS Public Sector Summit · Washington DC
Published Writing
Speaking & Advisory
Open to advisory engagements, board-level technology counsel, and speaking on AI governance, regulated cloud architecture, and engineering organization design.
Contact
CTO, VP Engineering, and VP Enterprise Architecture opportunities.
Advisory engagements and board-level technology counsel welcome.