a16z Site Reliability Engineer / SRE (all genders)
Summary
Build and maintain cloud infrastructure for an enterprise AI platform, ensuring reliability, scalability, and performance while automating operations and improving developer experience.
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
What they ask for
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 is a plus)
- Familiarity with CI/CD pipelines (GitHub Actions preferred)
- Passion for automation, infrastructure, and solving complex scaling challenges
Skills
As published by ashby · 12 questions · 3 written answers
Basics
First Name, Email, CV
Short answers (5)
- Last Name
- Phone optional
- LinkedIn/GitHub Link optional
- Start date
- Salary expectations in €
Pick from a list (4)
- Are you located in Munich / would you be willing to move here?
- I’m aware that this is a 100% on-site role and I’m fully comfortable with that.
- Proficiency in German
- Are you authorized to work in Germany?
Written answers (3)
- Why do you want to join us?
- What are your relevant experiences for this role?
- What is your spike (idiosyncratic strength)?
