Introduction text

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.

Your Tasks

• Improve the IaaS API: stability, scalability, code quality, new features.
• Scale the billing pipeline to 10x and 100x volume and new resource types.
• Own features end-to-end - "You Build It, You Run It": ship, operate, get paged, fix.
• Make architectural decisions across service boundaries.
• Review API contributions from other IaaS teams.
• Raise the bar in code review, mentor, document the things that aren't obvious.

Your Profile

• Several years of production Go. Idiomatic, well-tested, and you can justify your design choices.
• Effective testing - you know when to use each level of the test pyramid.
• Distributed systems experience: idempotency, retries, partial failures, eventual consistency.
• Deep relational database knowledge; experience at large scale is a plus.
• Linux fundamentals: logs, network, processes.
• Kubernetes and Helm as daily tools. You can debug a misbehaving pod.
• OpenStack sits beneath our API. You don't need to be an expert, but you should be willing to debug at that layer and learn as you go.
• You fix what is in front of you. Broken pipeline, flaky test, missing/outdated documentation - you address it, or you bring it up.
• You can take a half-formed problem statement, identify what needs to happen, challenge it if it's wrong, and drive it to production.