European retail chain modernizing operations through Atlassian and AI-driven process automation
Müller is a 70-year-old German retail operator with 960+ stores across nine European countries and 35,500 employees. The tech stack reveals a mix of enterprise infrastructure (SAP, Dynamics 365, Cisco) anchored by Atlassian tooling (Jira, Confluence, Service Management) and customer support via Zendesk. Active projects cluster around legacy system migration, document automation, and AI-driven process improvement—indicating a shift from manual, fragmented workflows toward integrated, intelligence-augmented operations. Engineering hiring remains minimal but focused, with mid-to-senior roles concentrated in IT service optimization rather than new product development.
Müller operates one of Europe's largest specialty retail networks, with stores in nine countries and a core workforce of approximately 35,500 employees from 122 countries. The business spans pharmacy, cosmetics, stationery, toys, household goods, and media. Operationally, the company is in the midst of a digital transformation: legacy systems are being migrated to modern architecture, document and knowledge management are being automated, and customer service processes are being optimized through AI and Atlassian platform enhancements. The organization employs an apprenticeship-driven talent model alongside broader hiring, with ongoing investments in IT service delivery and governance structures to support cross-border scale.
Müller uses SAP and Dynamics 365 for enterprise operations, Atlassian suite (Jira, Confluence, Service Management) for IT and knowledge management, Zendesk for customer support, PostgreSQL and MariaDB for databases, and Cisco and HUAWEI networking infrastructure.
Yes. Müller has six active engineering roles (mostly mid- and senior-level) concentrated in IT service optimization, legacy system migration, and Atlassian platform customization. Hiring is currently limited to Germany.
Current priorities include legacy system migration to modern architecture, AI-driven process improvement, document and knowledge base automation, Atlassian platform enhancements, and customer service process optimization through Zendesk and internal tooling.
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