Site Reliability Engineer (SRE) (m/w/d)

United States Digital Space LLC; München; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Equity compensation

Zusammenfassung

United States Digital Space LLC is seeking a Site Reliability Engineer to build and scale infrastructure powering enterprise AI workloads. You will work with our CTO to design reliable cloud infrastructure, enable multi-region deployments, and optimize databases for high-performance AI tasks.

You will improve backend performance and automate deployments, while strengthening observability and incident response. This role is on-site in Munich, with equity being offered as part of the package.

Qualifikationen

• Proficient in Python development and backend optimization.

Aufgaben

• Operate production workloads on a major cloud platform.
• Design and operate reliable cloud infrastructure for AI workloads.
• Scale platform globally with multi-region deployments and high availability.
• Optimize databases for AI workloads (Vector Search, Hybrid RAG, MCP).
• Improve backend performance, latency, throughput, and efficiency.
• Build observability, SLOs, alerting, and incident response processes.
• Automate deployments and developer workflows.
• Collaborate with product engineering to scale systems during rapid growth.

Kenntnisse

Python

Cloud platforms

Distributed systems

Observability

CI/CD

MongoDB

Automation

Jobbeschreibung

Build and scale the infrastructure behind enterprise AI.At the company, 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 the company 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 the company'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 the company?

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

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