Volver

Site Reliability Engineer (SRE) (m/w/d)

CompraTica Empleos

EMP:Technology
Munich Office
Tiempo Completo
Remoto
0 vistas

Descripción

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 doWork directly with our CTO on the architecture and scaling of Lio's infrastructureDesign and operate highly reliable cloud infrastructure for production AI workloadsScale our platform globally with multi-region deployments and high-availability architecturesOptimize databases for agentic AI workloads, including Vector Search, Hybrid RAG, MCP, and high-performance query executionImprove backend performance, latency, throughput, and resource efficiencyBuild observability, SLOs, alerting, and incident response processesAutomate deployments, infrastructure, and developer workflowsPartner closely with product engineering teams to build systems that scale with rapid growthWhat we're looking forExperience operating production workloads on a major cloud platformStrong Python.

Habilidades

and experience optimizing backend servicesSolid understanding of distributed systems, asynchronous processing, and scalable architecturesExperience with monitoring, observability, and incident managementExperience optimizing databases at scale (MongoDB is a plus)Familiarity with CI/CD pipelines (GitHub Actions preferred)Passion for automation, infrastructure, and solving complex scaling challengesWhy 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 exce.

¿Te interesa? Aplicá ahora