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München, Bayern, Deutschland
Onsite
At Lio, we're building the AI workforce for procurement. As a Site Reliability Engineer, you'll work directly with our CTO to build the infrastructure that powers one of Europe's fastest-growing enterprise AI startups. From scaling our platform across regions to optimizing databases for agentic AI, you'll help shape the foundation that enables Lio to serve global enterprise customers with exceptional performance and reliability.
Work directly with our CTO on the architecture and scaling of Lio's infrastructure
Design and operate highly reliable cloud infrastructure for production AI workloads
Scale our platform globally with multi-region deployments and high-availability architectures
Optimize databases for agentic AI workloads, including Vector Search, Hybrid RAG, MCP, and high-performance query execution
Improve backend performance, latency, throughput, and resource efficiency
Build observability, SLOs, alerting, and incident response processes
Automate deployments, infrastructure, and developer workflows
Partner closely with product engineering teams to build systems that scale with rapid growth
Experience operating production workloads on a major cloud platform
Strong Python skills and experience optimizing backend services
Solid understanding of distributed systems, asynchronous processing, and scalable architectures
Experience with monitoring, observability, and incident management
Experience optimizing databases at scale (MongoDB is a plus)
Familiarity with CI/CD pipelines (GitHub Actions preferred)
Passion for automation, infrastructure, and solving complex scaling challenges
Work directly with our CTO on company-defining infrastructure decisions. Build the foundation for one of Europe's fastest-growing enterprise AI companies. Solve challenging problems around global scaling, reliability, and agentic AI infrastructure. Competitive compensation, meaningful equity, and exceptional teammates. 100% on-site in our Munich office, where we build together every day