Open to Full-Time & Contract (1099)Chicago, IL — USA
Currently · Snorkel AI / DevOps Eng.
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Jordan.

↳ Discipline

Multi-Cloud
Engineer

↳ PracticePlatforms, infrastructure, and automation across AWS and Azure. AI-integrated systems, cloud security, FinOps, and production observability, all defined as code.

View Work →Schedule a Call ↗

↳ Reach me

jordandn6@outlook.com·LinkedIn·GitHub

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About

Origin / Practice
Scope of Work

After leaving law school, I redirected toward software engineering and cloud infrastructure. My work emphasizes reliability, reproducibility, and operational awareness across the software development lifecycle.

Currently at Snorkel AI as a DevOps Engineer, running DevSecOps pipelines, Kubernetes blue-green deployments on AKS, and event-driven AWS remediation. Independently building Azure FinOps tooling, production monitoring, and Zero Trust identity infrastructure.

YRS Cloud

Certs · SAA Active

2×

AWS · Azure

Infra · Integration

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Focus

Core capabilities
Proven in production

Cloud Foundations & Governance

Multi-account and multi-subscription foundations built in Terraform: OU and management group hierarchies, SCP and Azure Policy guardrails, hub-spoke networking, account vending, and centralized audit logging.

AWS Landing Zone Automator ↗Azure Landing Zone ↗AWS SCP Governance ↗

FinOps & Cost Engineering

Cost visibility built as software on both clouds: anomaly detection against rolling baselines, spend forecasting, tagging compliance for attribution, and scale-to-zero patterns that keep idle cost near nothing.

Cost Intelligence Dashboard →Azure FinOps Dashboard ↗LLM Gateway Cost Routing ↗

Resilience & Incident Response

Systems that answer failure without a human in the hot path: cross-region failover with automated database promotion, alarm-driven remediation, and AI-assisted incident runbooks, all verified against live cloud breakage.

Multi-Region Failover Manager →AWS Incident Responder →Azure Event-Driven Remediation ↗

Platform & DevSecOps

Paved roads on Kubernetes across both clouds: GitOps reconciliation, self-service infrastructure APIs, admission policy, and CI/CD pipelines gated on SAST, container scanning, and DAST before anything deploys.

AWS Developer Platform →Cloud Security Lab →Azure DevSecOps Pipeline ↗

Data Platform Engineering

The storage, catalog, transformation, and governance layers data teams build on: serverless lakehouses and medallion architecture across both clouds, dbt analytics engineering with data-quality test gates, and columnar Parquet that cuts query scan cost, all in Terraform with keyless, least-privilege access.

AWS Serverless Lakehouse ↗dbt Analytics Engineering ↗Azure Medallion Lakehouse ↗

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