David Kornel
Open source + platform engineering

Developer. Quality engineer. Platform builder.

I work mainly in open source, building and testing Java-based tooling around Kubernetes and OpenShift.

Most of my public work happens through collaborative projects like StreamsHub, skodjob, Strimzi, and EnMasse, with a lot of focus on GitOps, automation, and platform reliability. Lately I have also been spending time on AI tooling and MCP, mainly from the Java side.

View public work LinkedIn GitHub
Software Developer at IBM Senior Principal SQE Red Hat background Brno, Czech Republic
About

Built for production.

My work sits at the intersection of software development, operations, and quality. I care about systems that are understandable, testable, and stable when people actually have to run them.

Profile

I write software, build test tooling, and help shape the delivery side around it. A lot of my work has been in Kubernetes and OpenShift environments, especially around operator testing, CI/CD, and production-like validation. I tend to work where development, platform concerns, and release confidence meet.

Kubernetes / OpenShift Open source development Cloud-native platforms Hands-on development Quality-driven delivery Java development AI / MCP

How I add value

  • Reduce friction between development, testing, and operations.
  • Design workflows that make reliable releases easier, not slower.
  • Automate validation around Kubernetes platforms and operator-based systems.
  • Keep engineering quality visible through faster, more useful feedback loops.
Signals

Signals at a glance.

Public collaboration, long-term engineering activity, certification depth, and a current technical direction tied to cloud-native delivery work.

4

Core collaborations

Public work across StreamsHub, skodjob, Strimzi, and EnMasse.

2015

GitHub since

Years of public engineering activity across development, testing, automation, and platform work.

2

Major chapters

Professional track shaped by Red Hat and continued today within IBM.

RH

Certification track

Red Hat certification path including architecture and OpenShift architecture.

Certifications

Verified platform credibility.

Professional credibility built through hands-on Red Hat certification tracks, public technical work, and ongoing badge-based learning. Architecture, OpenShift platform design, and cloud-native platforms are core areas.

Red Hat certifications

I hold Red Hat certifications including Red Hat Certified Architect and Red Hat Certified OpenShift Architect. Those certifications align directly with the platform, architecture, Kubernetes, OpenShift, and production-oriented engineering work I do.

Red Hat Certified Architect Red Hat Certified OpenShift Architect Platform architecture Cloud-native systems

Learning profile

  • Strong interest in Kubernetes and broader cloud-native engineering.
  • Continuous learning reflected through certification paths and badge-based achievements.
  • Current investment in AI tooling, AI-assisted development, and Model Context Protocol workflows.
  • Professional profile designed to expand with verified badge links and deeper certification detail.
Experience

Red Hat roots. IBM chapter.

Publicly visible experience shows a path through Red Hat into IBM, with long-running focus on reliability, operator testing, automation, and delivery quality in Kubernetes-centered environments.

IBM

Continuing work across software development, engineering quality, and operational effectiveness. The emphasis is on dependable delivery, strong feedback cycles, and engineering systems that remain healthy as they evolve.

Red Hat

Built experience in environments where Kubernetes, OpenShift, platform reliability, and practical automation matter. That background continues to shape how I approach release quality, operator testing, and engineering workflow design.

Projects

Public work with real context.

Most of my public code is collaborative open-source work rather than standalone personal repositories. The strongest examples sit across StreamsHub, skodjob, Strimzi, and EnMasse.

kubetest4j

A library for testing Kubernetes deployments and operators using the Fabric8 API. It fits closely with the kind of cloud-native testing and validation work I spend most of my time on.

Java Kubernetes Operator testing

Open repository

EnMasse

Self-service messaging on Kubernetes and OpenShift, and a good example of the messaging and platform work I contributed to in open source.

Java Messaging Kubernetes / OpenShift

Open repository

StreamsHub MCP

Model Context Protocol servers that give AI assistants direct access to Kubernetes-based streaming infrastructure, including Strimzi-managed Kafka environments.

Java MCP Kubernetes Strimzi

Open repository

Now

Current technical direction.

What I am currently building, studying, and connecting back into production-minded engineering work.

AI and MCP from the Java side

Current exploration is focused on AI-native engineering workflows, practical automation, AI-assisted development, and Model Context Protocol workflows, mainly from the Java side.

Current focus areas
  • AI-enabled development workflows that stay useful and reviewable.
  • MCP patterns that reduce manual context-switching and improve automation speed.
  • Quality systems that improve signal in CI/CD without slowing teams down.

Cloud-native reliability

Keeping a strong focus on Kubernetes and OpenShift resilience, observability, and sustainable platform operations. The through-line is practical quality: feedback that helps teams make better release decisions.

Contact

Public profiles and verification.

You can reach me through the public profiles below. They cover code, professional context, certification badges, and speaking activity.

GitHub

Public code, project history, and a direct technical profile anchored to my work.

github.com/kornys

Sessionize

Public speaker profile with sessions centered on observability, reliable environments, and cloud-native engineering.

sessionize.com/david-kornel