§ Careers# Cloud & DevOps Engineer – Kubernetes, Edge & CloudDATATRONiQ is a deep-tech startup from Germany for Industrial IoT and Edge AI. As Cloud & DevOps Engineer you own our Kubernetes landscape — from the edge cluster at the customer site to the cloud. You keep our Go services, dashboards, and ML pipelines running reliably. Your skill decides how reliably we deploy and how smoothly our platform runs. If you understand what good infrastructure looks like and want to help shape it — let's talk.Location: Stuttgart, Ulm or BerlinLevel: Mid–Senior · 3+ years experienceStack: Kubernetes · Linux · Helm · GitOps · GitLab CI · PrometheusApply via work@datatroniq.com→2. /3. Cloud & DevOps Engineer – Kubernetes, Edge & Cloud§ The role## About the roleOur platform runs on multiple Kubernetes clusters: on-prem at the customer site, in the cloud, and on edge gateways right on the production floor. Some of them in environments that don't tolerate outages — plants running 24/7. Your job is to keep these systems running reliably and let the team deploy faster without breaking things.Your stack: Kubernetes, Linux, Helm, common cloud platforms, CI/CD and GitOps over GitLab. Observability runs on Prometheus and Grafana. Security and network design are part of the job — we build for environments where cybersecurity isn't just a checkbox.We work in a small, tightly coordinated team. Code reviews and pair programming are a fixed part of the week. Every Friday we share interesting finds from the web and new tools in our show-and-tell sessions. As Cloud & DevOps Engineer you are not part of a pure ops team — you work daily with the backend, frontend, and data science teams and ensure the availability of the platform.01§ Responsibilities* → You operate and scale our Kubernetes clusters — on-prem, in the cloud, and at the edge — with an eye on availability, efficiency, and performance.* → You build and maintain our CI/CD pipelines with GitOps: linting, tests, builds, rollouts across staging and production.* → You secure our infrastructure — network segmentation, access control, secrets management — and make security the default.* → You develop and maintain Kubernetes operators and Helm charts together with the backend team.* → You automate where the friction is: manual steps, repetitive alerts, config drift between environments.* → You back up the backend, frontend, and data science teams on deployments and Kubernetes debugging.- → At least three years of hands-on Kubernetes experience, ideally across mixed on-prem and cloud environments.- → Bonus: experience with edge deployments, industrial networks (OT/IT segregation), or airgap installations.