# Site Reliability Engineer / SRE (all genders) at Lio (formerly askLio)

> Onsite · Germany · Unspecified · DevOps / SRE / Infra · open. Source: https://alderhq.app/jobs/ashby%3Alio%3A4f67e6d6-72ca-4248-a748-3bd8d3c769ea (read 2026-11-10).

## Facts (observed)

- Company: [Lio (formerly askLio)](https://alderhq.app/companies/lio-formerly-asklio)
- Location text: Munich Office
- Where it can be done from (inferred): Onsite · Germany (evidence: "Location: Munich Office")
- Posted: 2026-10-05 (37 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/lio/4f67e6d6-72ca-4248-a748-3bd8d3c769ea
- Skills listed (inferred): Python, MongoDB, LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Munich, n 5): p25 €90k, median €90k, p75 €95k

## Description (the employer's text)

### 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Alio%3A4f67e6d6-72ca-4248-a748-3bd8d3c769ea and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.