DevOps & Platform Lead · Azure Cloud Architect Expert (AZ-305)
Production-Ready AI & LLM Systems

Daniel Nwosuh

Engineering scalable cloud infrastructure and turnkey AI systems — from deployment pipelines to LLM applications, packaged and production-ready.

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Areas of Expertise

Experience

Supplemental Health Care
Feb 2024 — Present
DevOps & Platform Lead
Remote · Salt Lake City, UT
  • Lead a team of 5 engineers owning DevOps strategy, platform engineering, and cloud infrastructure reliability for a healthcare staffing organization — driving Agile/Scrum ceremonies, reporting quarterly to the Head of Engineering, and delivering 90% of initiatives on time.
  • Architected and automated scalable Azure infrastructure with Terraform across 20+ environments spanning Container Apps, Web Apps, VMs, Azure SQL, and Virtual Networks — zero configuration drift, auto-scaling absorbing 10x traffic spikes at 99.9% uptime.
  • Delivered $250K+ in annual Azure cost savings through compute reservation optimization, Application Insights trace and retention tuning, and AKS consolidation.
  • Built reusable Terraform modules (Azure, Auth0, Airbyte) that cut code duplication 75%; automated IAM provisioning with enforced Azure Policy for 100% policy compliance.
  • Introduced agentic AI into the workflow — using LLMs to build, deploy, and orchestrate Infrastructure as Code, with a review process ensuring AI-generated applications met security, coding-standard, and multi-stage QA requirements.
  • Engineered a Redis caching layer that cut a hot-path response from 2–5 seconds to under 100ms.
  • Enabled HIPAA, SOC 2, and PCI readiness using Drata for automated evidence collection; locked down VNets with NSGs, private endpoints, and Private Link via Terraform-enforced network segmentation.
  • Implemented secure VPN infrastructure (SAML-integrated Point-to-Site and Site-to-Site via Azure VPN Gateway) for 150+ remote users at 99.9% uptime, plus custom Strongswan VPNs supporting 50+ partner organizations with zero security incidents.
  • Built a client-facing SFTP ingestion pipeline (Azure Blob, Entra ID auth, managed identities, Azure DevOps CI/CD) with ETL into Synapse and Apache Superset analytics — processing 40,000+ files monthly.
  • Stood up observability with Azure Monitor, App Insights, Prometheus, Grafana, Loki, and Event Grid alerting; hardened frontends with App Gateway and Front Door WAF rules — 15% response-time improvement.
Hexagon Asset Lifecycle Intelligence
Oct 2022 — Jan 2024
Senior DevOps Engineer — System Design & Architecture Engineering
Remote · Huntsville, AL
  • Standardized Azure deployments with Azure CLI and YAML pipelines (Bicep/ARM, AKS, Container Registry, Cosmos DB, App Service); drove IaC adoption and governance across teams.
  • Configured the underlying networking — VNets, NSGs, private endpoints, load balancing, DNS — to keep services secure and reachable.
  • Managed Entra ID and built Conditional Access policies governing who could access what, from where, and under what conditions; enforced RBAC and access governance.
  • Wrote the .NET applications and services behind the platform — APIs, background workers, integration layer to the manufacturing systems — owning code-to-prod in Azure.
  • Built and ran Azure Virtual Desktop and Windows 365 (host pools, session hosts, golden images) on the VM, networking, and identity layer I managed; administered Exchange Online, SharePoint, Teams, OneDrive.
  • Drove CI/CD for enterprise apps with security built in via vulnerability scanning, secrets management, and remediation; cut deployment from hours to minutes by automating Linux and Windows pipelines.
  • Set the Git branching strategy, ran the SVN-to-Azure-DevOps migration, stood up SLA/SLO monitoring and incident management, and delivered HA/DR environments across staging, test, and production.
General Motors
Oct 2019 — Oct 2022
Software Engineer
Remote · Austin, TX
  • Ran manufacturing software automation on Agile/Scrum — designed scalable backend and frontend systems and replaced manual workflows with ones that scaled.
  • Built .NET applications and services backing the automation platform (APIs, background workers, integration layer to manufacturing systems), code-to-prod in Azure.
  • Built out Azure deployments with Azure CLI and YAML pipelines (Bicep/ARM, AKS, Azure AD, Container Registry, Cosmos DB, App Service); automated Linux, Windows, and iOS releases with Bash, Python, and PowerShell — saved 1,800+ hours across large projects.
  • Configured networking under the platform (VNets, subnets, NSGs, private endpoints, load balancing, DNS) — locked down access paths and kept traffic off the public internet where it didn't belong.
  • Drove end-to-end CI/CD adoption (monitoring, automated testing, code coverage, deployment docs, DB rollback, artifact management, code reviews, release notes); tightened pipeline security and ran the Bitbucket-to-Azure-DevOps migration.
  • Tracked SLAs/SLOs and managed Azure SQL, PostgreSQL, Redis, and Liquibase; stood up infrastructure with Terraform, Docker, Packer, Ansible, and AKS; trained new hires on Azure DevOps and the SDLC.

Education & Certifications

Education
M.S., Computer Software Engineering
North Dakota State University · Fargo, ND
B.S., Natural Sciences
Central Christian College of Kansas · McPherson, KS
Microsoft Certifications
Azure Solutions Architect Expert
AZ-305 · Microsoft Certified
Azure Fundamentals
AZ-900 · Microsoft Certified

Ventures

In Development Document Intelligence

Vellum

AI-powered document analysis for commercial banking and small business.

Loan underwriting that understands the difference between a C&I deal and a real estate transaction — running the right DSCR calculation, surfacing collateral comps, and pairing every weakness with a mitigant. Plus a receipts engine that turns shoebox bookkeeping into clean, audit-ready PDFs.

Loan Underwriting DSCR & Cash Flow Collateral Comps Guarantor PFS Receipt OCR PDF Generation
Preview
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Let's Build Something Together

[email protected]

■ Daniel Nwosuh