Site Reliability Engineer / SRE (all genders)

Posted One Month Ago
Be an Early Applicant
Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
Mid level
Artificial Intelligence • Software
The Role
Design, operate, and scale highly reliable cloud infrastructure for production AI workloads. Implement multi-region deployments, optimize databases and backend performance for agentic AI (vector search, Hybrid RAG, MCP), build observability/SLOs/incident response, automate deployments and developer workflows, and collaborate with product teams and the CTO to ensure global reliability and efficiency.
Summary Generated by Built In
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.

Skills 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 experience
  • Familiarity with CI/CD pipelines
  • Experience with GitHub Actions
  • Passion for automation and infrastructure
  • Willingness to work 100% on-site in Munich
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, New York
150 Employees
Year Founded: 2024

What We Do

Lio (formerly known as askLio) builds the world's most advanced AI procurement workforce for enterprise companies worldwide. Every purchase request is managed by specialized agents working in parallel - researching vendors, negotiating terms, managing approvals, and tracking deliveries simultaneously. What once consumed your team's hours is now executed by a coordinated network of AI Agents.

Similar Jobs

Mondelēz International Logo Mondelēz International

Senior Product Manager

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Remote or Hybrid
3 Locations
90000 Employees

Mondelēz International Logo Mondelēz International

o9 Data & Integration Lead

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Remote or Hybrid
2 Locations
90000 Employees

Compa Logo Compa

Enterprise Account Executive

Artificial Intelligence • HR Tech • Software • Business Intelligence
Remote or Hybrid
3 Locations
75 Employees
200K-225K Annually

Mondelēz International Logo Mondelēz International

Scientist

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Remote or Hybrid
3 Locations
90000 Employees

Similar Companies Hiring

Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
43 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account