Senior platform and DevSecOps engineering centered on Kubernetes, secure CI/CD, GitOps, and edge and on-prem delivery. Built for regulated programs, multi-architecture fleets, constrained networks, and teams that need dependable systems under real operational pressure.
Select a layer below or move through the architecture to inspect how orchestration, policy, delivery, compute, and application engineering reinforce one operating model.
Kubernetes, GitOps, infrastructure as code, and policy-driven delivery keep the platform repeatable across secure, on-prem, and edge environments.
The operating model is shaped by defense, public-sector, and enterprise programs where compliance boundaries, constrained infrastructure, and field realities are part of the design brief.
Kubernetes, GitOps, and infrastructure as code define a repeatable operating model across regulated and constrained environments.
Clusters, overlays, applications, and promotion paths are treated as versioned system state. That keeps deployments reproducible across on-prem, cloud, and edge targets.
Real deployments include air-gapped sites, field hardware, and tightly controlled networks. The platform adapts to the environment while the control model stays consistent.
Hardening, policy, scanning, secrets handling, and image provenance are enforced inside the delivery path rather than checked after the fact.
Every artifact, policy gate, registry action, and deployment decision stays explainable under audit, compliance review, or field pressure.
Architecture has to respect compute variance, multi-architecture images, field operations, and the narrower margins that come with deployed hardware.
Backend services, internal tooling, frontend systems, and data work keep the platform grounded in real delivery needs instead of abstract infrastructure theory.
Each capability block maps to recurring responsibilities: hardened orchestration, traceable delivery, edge deployment, and software systems that support the platform itself.
Kubernetes, K3s, OpenShift, ArgoCD, RBAC, multi-cluster workflows, and environment promotion patterns.
SELinux, registry control, image scanning, SAST/DAST, secrets handling, FIPS/STIG awareness, and least-privilege delivery rails.
Terraform, Helm, Kustomize, Jenkins, GitHub, GitLab, Gitea, Harbor, Zot, and identity-aware promotion pipelines.
Multi-arch support for x86 and arm64, Jetson and Blackwell targets, air-gapped delivery, and field-ready operating constraints.
Go, Rust, Chi, Actix, Node.js, and distributed service work shaped around performance, reliability, and operability.
Vue 3, Nuxt 4, HTMX, Alpine.js, and Tailwind CSS used to turn platform internals into usable interfaces.
Delivery is backed by operational writing, incident clarity, Git-based workflows, and the tooling needed to keep systems understandable after launch.
AI/ML deployment flows, model serving on Kubernetes, MLOps patterns, and agentic automation integrated into practical platform operations.
From source control to runtime feedback, the system keeps provenance, policy, promotion, and operations aligned across mixed environments.
The stack is organized by operating domain rather than keyword list, so the platform reads as a connected system instead of disconnected tools.
The engineering model is tuned for environments where reliability, compliance, constrained infrastructure, and cross-team clarity are all first-order concerns.
Platform transformation from legacy orchestration toward K3s-based Kubernetes, hardened registries, identity services, and GitOps delivery across constrained field environments.
OpenShift and Kubernetes delivery under tighter governance, with ArgoCD, secure Jenkins pipelines, RBAC, policy enforcement, and documentation that supports auditability.
AWS-backed deployments, web platforms, frontend systems, browser-based product work, CI/CD upgrades, and reliability improvements that connect infrastructure to delivery outcomes.
Kubernetes, GitOps, supply-chain controls, edge hardware enablement, and Go/Rust engineering combine into one delivery model for high-trust environments.