> Markdown version of [/jobs/ext/4686391-senior-cloud-architect-ai-native](https://www.wearedevelopers.com/jobs/ext/4686391-senior-cloud-architect-ai-native). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Cloud Architect (AI-native) - **Company:** lumibit - **Location:** Grünwald, Germany (Remote available) - **Experience:** Expert - **Salary:** €65,000 - €120,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, DevOps, Large Language Models, Grafana, Agentic-AI, Information Technology, Terraform - **Published:** November 12, 2026 - **Apply:** https://www.adzuna.de/details/5961928880 ## About the Role * At least five years of experience in cloud architecture, platform engineering or DevOps, with deep knowledge of Azure or AWS, infrastructure as code (e.g. Terraform) and CI/CD * A degree in computer science or a related field * You've designed a platform that runs in production and stayed responsible for it, including when things went wrong * You've explained a technical trade-off to a client clearly enough that their management could make the decision * You work with coding agents such as Claude Code every day, and you've built at least one system in which LLMs or agents do real work * Very good English; German is a plus * Experience with sovereign clouds such as STACKIT or IONOS, observability tools such as OpenTelemetry or Grafana, or an Azure or AWS certification is a plus ## Description As a Senior Cloud Architect (AI-native) at Lumibit, you own the cloud platforms that our client processes run on, from the first architecture sketch to stable operation. You report to our Managing Directors and work closely with our engineering team and directly with our clients. When we take over a process, your architecture decides whether agents can run it securely, reliably and at a sensible cost. Don't build the cloud the way it was built ten years ago: design it for agents from the start., * Design and own the cloud architecture of our client solutions on Azure, AWS and sovereign clouds, including the runtime for AI agents and LLM workloads * Turn a client process into a target architecture: which steps agents take over, where people stay in the loop, and how data, models and existing systems connect * Set the standards for security, governance and data protection, so that agent-based systems meet our clients' compliance requirements * Build the platform as code with our engineers, covering infrastructure, CI/CD, observability and the evaluation of agents, and let agents write and review a large part of it * Lead clients technically through migration and modernisation, and explain architecture decisions to engineers and management alike * Track cloud and inference costs, performance and reliability, and keep improving them