Site Reliability Engineer (SRE) – Enterprise AI Infrastructure

About the role

As a Site Reliability Engineer at Lio, you will partner directly with the CTO to design, build, and scale the infrastructure that powers Europe’s fastest‑growing enterprise AI startup. You will ensure high performance, reliability, and global availability for AI workloads that serve large corporate customers.

Key responsibilities

• Design and operate highly reliable cloud infrastructure for production AI workloads.
• Scale the 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 provisioning, and developer workflows.
• Collaborate closely with product engineering teams to support rapid growth.

Required profile

• Experience operating production workloads on a major cloud platform.
• Strong Python skills and a track record of optimizing backend services.
• Solid understanding of distributed systems, asynchronous processing, and scalable architectures.
• Hands‑on experience with monitoring, observability, and incident management.
• Experience optimizing databases at scale (MongoDB a plus).
• Familiarity with CI/CD pipelines, preferably GitHub Actions.
• Passion for automation, infrastructure, and solving complex scaling challenges.

Required skills

• Python
• Major cloud platforms (AWS, GCP or Azure)
• Distributed systems
• Asynchronous processing
• Monitoring and observability tools
• Incident management
• Database optimization (MongoDB preferred)
• CI/CD pipelines (GitHub Actions)

What we offer

• Direct influence on company‑defining infrastructure decisions.
• Competitive compensation, meaningful equity, and a collaborative team.
• 100% on‑site work in our Munich office.