1 month 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
