Staff Software Engineer · Amazon
I build the platforms, standards, and architecture that let large engineering organizations ship faster at global scale.
Seattle-based staff engineer focused on the ambiguous, cross-org problems that sit between product, platform, and infrastructure. My work spans customer-facing commerce, org-wide performance governance, microfrontend platform enablement, secure identity and payments, and production AI systems across web, mobile, and console.
Key contributions
Global customer-facing architecture
Defined the technical strategy for commerce across web, mobile, and console spanning 88 countries, 23 marketplaces, and 5+ organizations, including secure identity, payments, and internationalization.
Performance governance at org scale
Founded a performance program across 200+ engineers and 25+ services with shared measurement, release gates, and delegation mechanisms, driving up to 5× checkout and 10.5× address resolution improvements.
Platform enablement
Architected a microfrontend platform that let 6+ teams and 11 microfrontends ship independently, reducing onboarding from weeks to days through shared tooling and automated compatibility validation.
Production AI systems
Built deterministic AI workflows for engineering automation, including a multi-stage pipeline and provenance-tracked knowledge graph, with hallucinations reduced below 2%.
Selected Work
A few examples of how I approach system design, technical direction, and org-level leverage.
How I work
Constraints before technology
The best architecture comes from understanding organizational, regulatory, and operational constraints first. I designed a global commerce experience around legal-entity boundaries and marketplace-scoped authentication, not around a framework preference.
Mechanisms that survive delegation
I build standards, tooling, and operating models that continue working without me. The performance program I founded now runs independently 30+ weeks after I transferred ownership.
Platforms over heroics
The highest-leverage work improves how teams build and ship, not just what they ship. A microfrontend platform that reduced onboarding from weeks to days has more compounding value than any single feature.
Measurable outcomes
I ground every technical decision in data: 5× checkout improvement, 10.5× address resolution, 45% build-time reduction, <2% hallucination rate. If it can't be measured, it can't be governed.
What people say
"Jon is the most knowledgeable UI engineer I have ever seen. His design of micro-frontend architecture is thoroughly considerate. When a problem arises, you can trust that Jon can give the best advice."
Peer, Amazon
"Jon's exceptional ability to solve complex technical problems while maintaining customer focus sets him apart. He consistently ensures technical solutions meet both immediate needs and long-term customer experience goals."
Peer, Amazon
"Jon's super power is his ability to quickly and thoroughly resolve any technical problem that arises in his space. He is highly trusted to solve problems regardless of complexity or ambiguity."
Peer, Amazon
"Jon consistently demonstrates a strong ability to solve complex technical problems across all web UI components and architectures. He quickly gets teams aligned on decisions impacting delivery."
Engineering Manager, Amazon
Recent focus
Amazon, Project Kuiper
Global commerce architecture across 88 countries, org-scale performance governance, microfrontend platform for 6+ teams, secure console payments, production AI systems
Amazon, QuickSight
Embedding SDK performance (28% latency reduction), customization strategy, test coverage improvement (42% → 73%), measurement frameworks
Amazon, AWS IoT
Monolith-to-microfrontend rearchitecture across 9 teams, 45% build reduction, 70% deployment improvement, console feature launches
Interested in talking?
I'm looking for Staff, Principal, and Senior Staff roles where the core challenge is defining how complex software gets built across teams: customer-facing architecture, platform enablement, performance engineering, or applied AI infrastructure.
Open to remote, Seattle/Bellevue-based, or relocation to Europe.