Cloud Architecture
Secure, resilient and scalable AWS and Azure architectures, including multi-account, landing-zone, hybrid and multi-region designs.
Cloud Engineering · Platform Engineering · DevOps/SRE · Python
With 24+ years of IT experience, I combine cloud architecture, hands-on engineering, infrastructure automation, software development, and production operations across AWS and Microsoft Azure.
I design, build, automate, and operate cloud platforms and the applications that run on them.
My career spans databases, operating systems, enterprise infrastructure, networking, cloud engineering, software development, DevOps/SRE, and platform architecture.
From architecture and platform design to implementation, automation, reliability, and backend engineering.
Secure, resilient and scalable AWS and Azure architectures, including multi-account, landing-zone, hybrid and multi-region designs.
Hands-on implementation across networking, compute, storage, databases, identity, serverless and managed cloud services.
EKS, AKS and self-managed Kubernetes with Helm, ArgoCD, GitOps, ingress, storage, RBAC and production troubleshooting.
Infrastructure as Code, CI/CD, deployment automation, observability, reliability engineering, disaster recovery and incident response.
Production APIs and cloud-native systems using Python, Django, Flask, serverless, event-driven architecture and microservices.
IAM, SAML, secure network segmentation, VPNs, firewalls, cloud connectivity and CIS-aligned security controls.
Technology choices are grouped around the engineering problems they help solve.
AWS is my strongest cloud platform, with substantial Azure architecture and engineering experience.
Architecture, administration, upgrades, application delivery and production troubleshooting.
Reusable, version-controlled infrastructure and configuration automation.
Hands-on cloud-native application development with Python as the primary language.
A long technical career gives me context for what happens underneath a cloud architecture.
Linux, RHEL, Solaris, enterprise server administration, hardening and troubleshooting.
Oracle DBA / Apps DBA foundation, high availability, backup, recovery, tuning and migrations.
TCP/IP, DNS, VPC/VNet architecture, VPNs, firewalls, segmentation and hybrid connectivity.
AWS and Azure architecture, security, resilience, serverless and managed services.
Python, Django, Flask, APIs, event-driven systems and cloud-native backend services.
Kubernetes, EKS, AKS, Helm, ArgoCD, GitOps, CI/CD and platform operations.
A progression from software and database engineering to enterprise infrastructure, cloud engineering and principal-level architecture.
These case studies are intentionally presented at a high level. Confidential implementation details and diagrams are excluded.
Modernized a legacy enterprise application into a Python/Django-based Azure solution using VMs, Functions, Blob Storage and Azure SQL.
View case studies →Designed a serverless application using managed Azure services, API Management, Functions, Cosmos DB and Azure SQL.
View case studies →Built an automated AWS security compliance auditing and auto-remediation platform aligned with CIS benchmarks.
View case studies →Designed, deployed, upgraded and operated Kubernetes environments across EKS, AKS and self-managed platforms.
View case studies →I bring architecture thinking, engineering discipline and enterprise operational experience together.
My background spans databases and operating systems through infrastructure, networking, applications, cloud and platforms.
I work across design and implementation, not only architecture documentation.
Security, reliability, observability, disaster recovery and operational realities are part of the design.
Reusable IaC, CI/CD and GitOps help make infrastructure repeatable, auditable and easier to operate.
Python and backend engineering experience lets me connect application requirements to platform decisions.
More than two decades of technical and leadership experience help bridge engineering decisions and organizational priorities.
Primary cloud architecture certification.
Database and enterprise systems foundation.
Cloud Native Computing Foundation training.
Whether you are designing a cloud platform, modernizing an application, improving reliability, or looking for hands-on cloud engineering expertise, let's start with a focused conversation.
Open to employment, remote opportunities, architecture engagements, consulting and technical projects.