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

Posted Yesterday
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Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
Mid level
Artificial Intelligence • Software
The Role
Design, operate, and scale highly reliable cloud infrastructure for production AI workloads. Implement multi-region deployments, optimize databases and backend performance for agentic AI (vector search, Hybrid RAG, MCP), build observability/SLOs/incident response, automate deployments and developer workflows, and collaborate with product teams and the CTO to ensure global reliability and efficiency.
Summary Generated by Built In
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

Skills Required

  • 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 experience
  • Familiarity with CI/CD pipelines
  • Experience with GitHub Actions
  • Passion for automation and infrastructure
  • Willingness to work 100% on-site in Munich
Am I A Good Fit?
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The Company
HQ: Munich, Bayern
92 Employees
Year Founded: 2022

What We Do

Lio (formerly known as askLio) builds the world's most advanced AI procurement workforce for enterprise companies worldwide. Every purchase request is managed by specialized agents working in parallel - researching vendors, negotiating terms, managing approvals, and tracking deliveries simultaneously. What once consumed your team's hours is now executed by a coordinated network of AI Agents.

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