Build and operate the backend systems that let AI agents use connected tools reliably. You will own core infrastructure across integrations, secure code execution, and multi-tenant data, working closely with the founding team in a fast-moving environment.
Design and operate a tool gateway that exposes connected APIs and MCP integrations through a Python SDK, with routing, authentication, rate limits, and reliability built in.
Run persistent, isolated Linux sandboxes for workspaces, with attention to security, autoscaling, and cost.
Own durable, high-performance multi-tenant state and persistence systems designed to handle failures.
Identify and resolve integration issues, then improve system architecture to prevent them from recurring.
Work directly with users and the founding team to make and ship product and infrastructure decisions.
Typically 3 to 10+ years of experience building and operating production backend systems.
Strong distributed systems experience, including designing for reliability and operating systems through failure.
Hands-on expertise with containers, Linux internals, sandboxing, and safely running untrusted code.
Experience building Python services and working with infrastructure tooling such as Modal.
Practical experience with OAuth, webhooks, rate limits, and third-party API integrations.
Background in infrastructure, platform, developer tools, runtime systems, or secure code execution, with experience designing multi-tenant systems.
Visa sponsorship is not available.
On-site in Munich, Germany. Candidates based in Warsaw, Poland, or willing to relocate to Munich or Warsaw for on-site work may also be considered.