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Schwarz Digits, the IT and digital division of the Schwarz Group, seeks a highly experienced Software Architect or Backend Engineer to design the automated testing foundation for OpenStack, Kubernetes, and complex REST/gRPC APIs. You will build testing frameworks and backend tooling to validate infrastructure at scale, with a focus on reliability and safe production deployments.
You will lead the design of a holistic testing strategy, integrate automated tests into CI/CD workflows, and push
Schwarz Digits creates the technological foundation for digital sovereignty in Europe. As the IT and digital division of the Schwarz Group, we develop and manage the IT infrastructures for the retail divisions Lidl and Kaufland, as well as Schwarz Production and PreZero. At the same time, we operate as an independent provider in the external market to support companies across Europe in their digital transformation. We bundle our core services in the areas of Cloud, Cyber Security, Data & AI, Communication, and Workspace.
Join us and contribute to digital sovereignty in Europe. With us, you will work at the intersection of agility and security: You will benefit from fast decision-making processes, enjoy genuine creative freedom in your projects, and be able to build upon the stable foundation of the Schwarz Group.
The IaaS domain owns the compute, storage, and networking primitives our customers run their workloads on. Validating a cloud platform at this scale is not a traditional QA job. It is a complex distributed systems engineering challenge.
We are looking for a highly experienced Software Architect or Backend Engineer who is passionate about developer experience, CI/CD, and system reliability. Rather than just writing test scripts, you will design the architecture, build the testing frameworks, and engineer the backend tooling that our IaaS teams use to validate their code. Your mission is to build the automated engineering foundation that proves our infrastructure is highly reliable, performant, and safe to deploy to production at scale.