AI-accelerated delivery
I use AI to accelerate development, analysis, automation, and internal tooling while keeping decisions grounded in delivery, reliability, and operational constraints.
Jon Holman
AI‑accelerated delivery, grounded in engineering.
Principal Engineer • DevSecOps • AWS • TypeScript • Node.js
I build secure cloud systems and improve engineering delivery. My work combines DevSecOps, AWS, and full-stack engineering with practical AI use in development, analysis, automation, and internal tooling. The point is faster execution, clearer decisions, and stronger systems.
What I Do
Current work at the intersection of delivery, security, and AI.
I work where cloud delivery, platform operations, and engineering execution meet. That includes release controls, infrastructure automation, compliance-aware workflows, and the systems teams depend on when the stakes are high.
Cloud and DevSecOps
My work centers on secure AWS delivery, release workflows, infrastructure automation, compliance-aware operations, and the systems teams rely on to ship with less friction.
Pragmatic engineering
I do my best work turning messy requirements into working systems, stronger workflows, and clearer paths forward for teams building under pressure.
AI in Practice
How AI fits into the work.
I treat AI as an amplifier for engineering teams: useful when it speeds up work, reduces repetition, or improves clarity, but always subordinate to sound judgment and operational reality.
- Accelerating implementation and debugging without losing architectural judgment.
- Building internal tooling and analysis workflows that reduce repetitive work.
- Improving delivery speed while preserving security, auditability, and operational trust.
Experience Highlights
More than twenty years across software, cloud platforms, and delivery systems.
My background spans full-stack development, architecture, public-sector systems, cloud modernization, and platform delivery. Recent work has centered on AWS, DevSecOps, and AI-enabled engineering workflows.
Principal Engineer
Supporting federal health applications on AWS with DevSecOps, release controls, infrastructure automation, and AI-enabled internal tooling.
Solutions Architect
Led cloud practice work across serverless delivery, modernization initiatives, and engineering guidance for AWS and Azure teams.
Architect and engineering lead
More than 20 years across cloud platforms, web systems, automation, accessibility, and large-scale public-sector delivery.