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

Lio · Munich Officesenior

En corto

▸Ingeniero de confiabilidad de sitios que construye infraestructura de IA empresarial escalable en nube.
▸Trabajas directamente con el CTO en arquitectura, despliegues multi-región y optimización de bases de datos para IA agente.
▸Destaca el hecho de trabajar en una startup de IA empresarial en rápido crecimiento en Múnich, en equipo totalmente presencial.

No se requiere inglés.

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¿Qué piden?

✓Experiencia operando cargas de trabajo de producción en una nube principal.
✓Habilidades sólidas en Python y optimización de servicios backend.
✓Entendimiento sólido de sistemas distribuidos y arquitecturas escalables.
✓Experiencia con monitoreo, observabilidad y gestión de incidentes.
✓Experiencia en optimización de bases de datos a gran escala (MongoDB es un plus).
✓Familiaridad con pipelines CI/CD (GitHub Actions preferido).

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

Cloud platform (major cloud)PythonDistributed systemsAsynchronous processingMulti-region deploymentsHigh-availability architectureVector SearchHybrid RAGMCPGitHub Actions

¿A quién escribirle en Lio?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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.

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