Azure Cloud Architecture
Azure-first design and modernization: tenant structure, landing zones, governance, Entra identity, policy, networking, automation, and operational reliability.
Azure-first cloud architecture. Identity. Secure platforms.
Mathias Koeppel
I design Azure-first cloud, identity, and platform systems for teams that need security, reliability, and adoption to hold up under real operational pressure. The work spans Azure Government, Entra, Okta, Zero Trust, private AKS, PKI, DevSecOps, incident response, and controlled AI adoption.
Proof
Built for environments where architecture has to survive scrutiny.
600+ user environments
tenant administration, identity controls, DLP, SSO, and access governance
GovCloud platforms
private AKS, FIPS-aware patterns, PKI, policy, and secure access paths
800+ client accounts
multi-tenant SaaS operations, messaging systems, reliability, and support
Major security response
executive communication, evidence collection, remediation, and recovery
Consulting focus
Practical architecture for complex environments.
Identity and Zero Trust
Entra, Okta, Zscaler, SCIM, SSO, hardware-backed authentication, Conditional Access, onboarding/offboarding automation, and secure access models for distributed teams.
Cloud Security and Compliance
NIST 800-53, FedRAMP, CMMC, FIPS-aligned architecture, audit evidence, incident response support, Microsoft Sentinel, Defender, Datadog, CrowdStrike, and pragmatic security operations workflows.
AI Platform and LLMOps Architecture
Secure enterprise AI patterns, GovCloud AI boundaries, prompt and data governance, internal assistant design, AI infrastructure automation, and controlled adoption paths that do not ask teams to trust blindly.
How I help
From messy infrastructure to governed platforms.
Turn messy cloud estates into operating models
Clarify ownership, architecture, identity, backup, recovery, and lifecycle rules so teams stop depending on tribal knowledge.
Bridge leadership and implementation
Translate executive risk, customer pressure, and engineering reality into plans that can be defended and delivered.
Build automation that respects risk
Use AI and scripting where they improve speed, while keeping control points, auditability, and human judgment where they matter.
Selected work
Proof points pulled from real systems.
Public-safe examples from cloud, security, SaaS, and automation work. Specific enough to matter. Stripped of sensitive implementation detail. See active projects for current public builds.
Secure internal AI platform
Designed secure internal AI platform patterns inside a regulated-cloud context, with bounded data flow, prompt governance, model orchestration, and review paths for sensitive engineering work.
600+ user Microsoft tenant governance
Managed Entra, Okta federation, Zscaler access, Conditional Access, Purview DLP, Copilot for Gov, SCIM/SSO automation, and YubiKey-backed authentication.
Private Azure Gov Kubernetes
Designed private Azure Government Kubernetes patterns with governed access, DNS ownership, PKI, secrets, certificate automation, policy controls, and operator runbooks.
800+ account SaaS operations
Worked on multi-tenant cinema SaaS operations, including RabbitMQ-based message flows, near-real-time data movement, client reliability, and field deployments across large account portfolios.
90+ cinema infrastructure deployments
Served as a core field engineer for multi-site rollout work involving Service Framework design, PKI planning, distributed message brokers, customer coordination, and on-site execution.
Local-first career operations system
Built an AI-assisted job evaluation and document-generation system with local files, model-agnostic evaluators, PDF generation, liveness checks, and a dashboard for pipeline review.
Technical range
The work spans architecture, operations, and leadership.
Cloud and platform
Azure Gov, AWS GovCloud, AKS/EKS, Docker, Terraform, Bicep, Azure DevOps, GitHub Actions.
Security and compliance
NIST 800-53, FedRAMP M/H, CMMC, FIPS, Zero Trust, Sentinel, Defender, CrowdStrike, Darktrace.
Identity and access
Entra, Okta, Zscaler, SSO federation, SCIM, Conditional Access, DLP, hardware-backed authentication.
Automation and AI
Secure LLM tools, prompt governance, PowerShell, Bash, workflow automation, practical AI operations.
Start here
Need secure cloud architecture that people will actually use?
Send a short note with the problem, timeline, and what success would look like. I help teams design Azure-first platforms, identity systems, and operational infrastructure that can survive production reality.