Nationwide mail and parcel delivery network across Germany and abroad
Deutsche Post und DHL runs Germany's mail and parcel delivery network, and its hiring is overwhelmingly junior logistics and operations staff, a sign the business scales through physical sorting and delivery capacity rather than software. The stack pairs industrial controls (Siemens S7, Profibus) with a Java/Spring Boot, OpenShift and Kubernetes platform, while Azure AI and OpenAI align with efforts to digitalize customer service.
Notable leadership hires: Architect Engineer Lead, Team Lead Customer Service, IT Project Lead
Deutsche Post und DHL delivers letters and parcels throughout Germany over a nationwide transport and delivery network. Beyond domestic mail, it handles cross-border mail, serves business customers in markets including the USA, the Netherlands, the UK and Spain, and offers dialogue marketing, press distribution and corporate communications services. Consumer-facing offerings include Packstation lockers, live tracking, mobile stamps and the Post & DHL App. It is a public company with more than 10,001 employees and currently hires in Germany, the United States and India.
Its stack includes Java, Spring Boot, MongoDB, Kubernetes, OpenShift, Ansible, Prometheus, Grafana and Elasticsearch, plus SAP, Salesforce, Tableau, Power BI, Azure AI and OpenAI, along with Siemens S7 and Profibus for sorting equipment.
Yes. Hiring focuses mainly on junior logistics and operations roles, with smaller openings in sales, engineering and customer support. Overall hiring velocity is currently slowing.
Deutsche Post und DHL is currently hiring in Germany, the United States and India.
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Deutsche Post und DHL'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.