AI-supported engineering
Not hype, but leverage. Modern toolchains accelerate analysis and refactoring cycles without sacrificing stability.
About Schiesser IT
Pragmatism meets technical depth.
Marcus Schiesser helps companies modernize large, business-critical legacy systems step by step. Not through actionism, but through technical clarity and reliable decisions.
Marcus Schiesser
Dipl.-Informatiker, MBA
Philosophy
Preserve what works, modernize selectively.
For more than two decades, the focus has been on the core of complex enterprise systems: business-critical structures that form the backbone of a company and still need to stay fit for current requirements.
Proven engineering discipline and modern tools are not opposites. AI-supported engineering accelerates analysis and refactoring as long as stability, traceability, and maintainability are not compromised.
20+
Years of experience
Java
Core expertise
Pragmatic approach
Architecture is never an end in itself. The goal is always the balance between technical excellence and economic reality.
Real seniority
Systems are understood across their whole lifecycle: from first production rollout to modernization under real business pressure.
Experience from product and practice
Enterprise legacy systems and cloud architectures from first-hand experience.
Around twelve years ago, Marcus Schiesser wrote the first German-language book on Java EE 7: Java EE 7 Workshop.
He built Java systems for large organizations such as DB Systel GmbH and Mercedes-Benz. That experience shapes the perspective on business-critical legacy systems: technically deep, organizationally demanding, and always under real operational pressure.
Later, he became CTO of Glasnostic, a VC-funded cloud computing startup in San Francisco. This combines deep enterprise-system experience with a clear understanding of modern cloud architectures.
Java Enterprise Edition
Early domain authority in the German-speaking enterprise Java ecosystem.
DB Systel GmbH and Mercedes-Benz
Experience with large organizations, complex landscapes, and long-lived core business workflows.
CTO at Glasnostic
Cloud computing experience from a VC-funded startup in San Francisco, including product and architecture responsibility.