Site Reliability Engineer / SRE (all genders)

Lio (formerly askLio); München; Vor Ort; EUR 90.000 - 150.000; Vollzeit

Benefits dieser Stelle

On-site Munich

Equity

Competitive compensation

Zusammenfassung

Lio is building the AI infrastructure behind enterprise procurement. We seek a Site Reliability Engineer to work with our CTO to design and scale production systems for a rapidly growing AI startup.

This role focuses on reliability, multi-region deployments, and high performance across modern cloud platforms. You will optimize databases, implement observability with SLOs, automate deployments, and collaborate with product engineering to support global growth.

Qualifikationen

• 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.

Aufgaben

• Collaborate with the CTO on architecture and scaling of Lio's infrastructure.
• 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, and developer workflows.
• Partner closely with product engineering teams to build systems that scale with rapid growth.

Kenntnisse

Cloud platform experience

Python

Distributed systems

Observability/Monitoring

Database optimization

CI/CD

Automation & scaling

Tools

MongoDB

GitHub Actions

Jobbeschreibung

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

• 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

What we're looking for

• 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

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