Site Reliability Engineer / SRE (all genders)
Join Lio as a Site Reliability Engineer to build and scale the infrastructure for one of Europe's fastest-growing enterprise AI startups.
Posted by employer 1 month ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Building the AI workforce for procurement and optimizing databases for agentic AI workloads.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the Site Reliability Engineer at Lio focuses on building and scaling the infrastructure that supports enterprise AI solutions. Key skills include strong Python programming, experience with cloud platforms, and a solid grasp of distributed systems and database optimization. This position is ideal for someone with a background in production workloads and a passion for automation, particularly in a fast-paced startup environment. The engineer will collaborate closely with the CTO and product teams to ensure the platform's reliability and performance as the company grows.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Lio's career page.
- Lio has 19 other open roles including Forward Deployed Engineer (all genders), Core Engineer (all genders), Founders Associate Internship - COO Office (all genders).
- 6532 active Python roles on Joblaze right now.
- 539 active CI/CD roles on Joblaze right now.
- 431 active distributed systems roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3235 roles). See Python salary trends
Quick facts
- Is the Site Reliability Engineer / SRE (all genders) role remote?
- No — this is an on-site role in Munich Office.
- Where is the role based?
- Lio is hiring for this position in Munich Office.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: CI/CD, Incident Management, MongoDB, Observability, Python, cloud infrastructure.
- What seniority level is this role?
- Lio targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Site Reliability Engineer / SRE (all genders) role at Lio.
From the original posting
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.