3 months ago
Munich, GermanySenior
Responsibilities
- Work with the CTO on the architecture and scaling of Lio’s infrastructure.
- Design and operate reliable cloud infrastructure for production AI workloads.
- Build 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 with product engineering teams to build systems that scale with company growth.
Requirements
- 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.
- Familiarity with CI/CD pipelines, preferably GitHub Actions.
- Passion for automation, infrastructure, and solving complex scaling challenges.
- MongoDB experience is a plus.
Benefits
- Work directly with the CTO on company-defining infrastructure decisions.
- Meaningful equity and competitive compensation.
- Collaborate with exceptional teammates in a fast-growing enterprise AI company.
- 100% on-site work in the Munich office.
Tech Stack
Categories
Site Reliability
About Lio
Lio builds an AI-driven procurement assistant for enterprise teams, using specialized agents to manage purchase requests end-to-end—vendor research, negotiation, approvals, and delivery tracking. It sells its platform as SaaS to large organizations seeking to automate routine sourcing and purchasing workflows. The company was founded in 2022 and is headquartered in Munich, and is backed by investors including Andreessen Horowitz and Y Combinator.