GECKO is a German systems integrator built on a mature polyglot stack: .NET, Java, Spring, Kubernetes, Docker, and AWS/Azure. The company shows zero adopting/replacing activity—a sign of a stable, production-focused engineering culture rather than one chasing new tools. Hiring is engineering-heavy (23 of 32 roles), concentrated in mid-level and intern tracks, suggesting a scaling operation focused on delivery execution rather than strategic leadership expansion.
GECKO Software, founded in 1990 and headquartered in Rostock, Germany, delivers custom software development, business applications, and managed IT services to mid-market enterprises and higher-education institutions. The company operates across three service lines: bespoke software engineering, managed infrastructure and IT support, and digital transformation consulting. Their project focus spans university management systems, campus resource platforms, ML-enabled solutions, and enterprise digitalization—pointing to a strong presence in the public and academic sectors. All hiring is currently German-based.
GECKO's stack centers on .NET, Java, Spring, Kubernetes, Docker, AWS, and Azure. Front-end covers Vue, Angular, JavaScript, and Thymeleaf. Infrastructure includes GitLab CI/CD, Ansible, Terraform, and Proxmox VE. Database layer is PL/SQL. No recent adopts or replacements are signaled.
Primary project areas include university management systems, campus resource and document management, agile digitalization programs, ML/data science initiatives, technical audits, and complex platform development. Pain points center on university digitalization, ISO 27001 compliance, and managing long enterprise sales cycles.
GECKO Software's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.