Site Reliability Engineer / SRE (all genders)

Lio·Munich Officemid

In short

→Ingeniero de Confianza en Sitio que construye e escala infraestructura de IA empresarial en la nube.
→Trabajas directamente con el CTO en arquitectura, despliegues multi-región y optimización de bases de datos para IA agente.
→Destacado: Eres parte clave en la fundación de una de las startups de IA empresarial más rápidas de Europa.

Any questions about the role? Feel free to reach out to Cansel.

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

What they ask for

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

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Cloud platform (major providerPythonDistributed systemsAsynchronous processingScalable architecturesMonitoringObservabilityIncident managementCI/CD pipelinesGitHub Actions

Who should you write to at Lio?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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 Any questions about the role? Feel free to reach out to Cansel .

Looking for something similar?

Leave your email and we'll alert you when matching jobs appear.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.