Posting record
Open 12+ days
- Lio's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Lio, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
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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