Site Reliability Engineer

📋 Job Overview

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.

🏢 About Lio

We are building the AI workforce for procurement. Our mission is to transform how companies manage their supply chains through cutting-edge AI solutions.

🎯 The Role

As a Site Reliability Engineer at Lio, you will be a key player in ensuring our platform's reliability and scalability. You'll collaborate closely with our CTO and engineering teams to design, implement, and maintain robust infrastructure that supports our AI-driven procurement solutions.

✅ Key Responsibilities

• 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

📌 Required Qualifications

• 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

⭐ Desirable Experience

• Previous experience in a fast-growing startup environment
• Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes
• Experience with infrastructure as code tools like Terraform

🎁 Benefits

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.

🛂 Visa & Eligibility

100% on-site in our Munich office, where we build together every day.