Site Reliability Engineer (SRE) (m/w/d)
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At a glance
Job overview
Lio is hiring a Site Reliability Engineer (SRE) (m/w/d). Lio is building the AI workforce for procurement and seeks a Site Reliability Engineer to work directly with the CTO, designing and scaling highly reliable cloud infrastructure for production AI workloads, optimizing databases, improving performance, and establishing observability and automation across a globally distributed platform.
Key focus areas include Work directly with the CTO on architecture and scaling of infrastructure, Design and operate highly reliable cloud infrastructure for production AI workloads, and Scale the platform globally with multi‑region deployments and high‑availability architectures.
Important skills include Observability, Incident Management, Continuous Integration, Asynchronous Processing, Scalable Architectures, and Monitoring. Preferred (not required): Github, Distributed Systems, Databases, and Continuous Delivery.
Skills & qualifications
Skills
Qualifications
Full job description
Build and scale the infrastructure behind enterprise AI. 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.
What you'll do
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Work directly with our CTO on the architecture and scaling of Lio's infrastructure
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Design and operate highly reliable cloud infrastructure for production AI workloads
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Scale our platform globally with multi-region deployments and high-availability architectures
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Optimize databases for agentic AI workloads, including Vector Search, Hybrid RAG, MCP , and high-performance query execution
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Improve backend performance, latency, throughput, and resource efficiency
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Build observability, SLOs, alerting, and incident response processes
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Automate deployments, infrastructure, and developer workflows
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Partner closely with product engineering teams to build systems that scale with rapid growth
What we're looking for
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Experience operating production workloads on a major cloud platform
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Strong Python skills and experience optimizing backend services
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Solid understanding of distributed systems, asynchronous processing, and scalable architectures
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Experience with monitoring, observability, and incident management
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Experience optimizing databases at scale (MongoDB is a plus)
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Familiarity with CI/CD pipelines (GitHub Actions preferred)
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Passion for automation, infrastructure, and solving complex scaling challenges
Why Lio? 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
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