System Architect

pDesign Systems That Scale Without Breaking /p pYou see systems, not just code. You think about what happens at scale, under load, when things go wrong. /p pMaybe you've seen too many architectures that looked good on paper but fell apart in production. Maybe you're the person who asks "what happens when this fails?" before anyone else. Maybe you want to design systems that are elegant—not just functional. /p pAt PromptPartner, we build AI automation systems that run critical workflows for European businesses. These systems need to be reliable, scalable, and maintainable. We need someone who can design them right from the start. /p h3What You'll Do /h3 ul libDesign system architectures /b for automation platforms that scale /li libMake technical decisions /b about databases, APIs, integrations, and infrastructure /li libBalance trade-offs /b between speed, reliability, and complexity /li libReview and improve /b existing systems to handle growth /li libDocument decisions /b so the team understands the "why" /li libMentor developers /b on architectural thinking /li /ul h3You Think About Things Like... /h3 ul liHow data flows between systems /li liWhat happens when third-party APIs fail /li liHow to design for 10x growth without rewriting everything /li liWhere to put complexity—and where to avoid it /li liWhen to build vs. when to buy /li liHow to keep systems simple as requirements change /li /ul pYou don't need to be an expert in all of these—but you should understand how they fit together: /p ul libDatabases /b: PostgreSQL, Redis, when to use what /li libAPIs /b: REST, GraphQL, webhooks, event-driven patterns /li libIntegrations /b: Third-party APIs, data pipelines, n8n/automation tools /li /ul pWe're an AI company—we use AI tools ourselves. /p ul libClaude Code /b or similar for rapid prototyping and documentation /li liUsing AI to explore design alternatives and document decisions /li liWriting clear PRDs and architecture specs that AI tools can execute /li liUnderstanding how to design systems that AI agents can interact with /li liStaying current with AI tools—things change weekly, we adapt fast /li liExperience with bMCP (Model Context Protocol) /b for AI agent architectures is a plus /li /ul h3You're Right for This If... /h3 ul liYou've designed and built systems that scaled—not just talked about them /li liYou can explain complex architecture decisions in simple terms /li liYou think about failure modes before they happen /liliYou balance perfection with pragmatism—you ship /li liYou've made architectural mistakes and learned from them /li liYou enjoy mentoring others on technical decisions /li /ul h3This Isn't for You If... /h3 ul liYou prefer theory over implementation /li liYou design in isolation without understanding business needs /li liYou optimize for elegance over practical outcomes /li liYou've never built systems at meaningful scale /li liYou can't simplify complex ideas for non-technical stakeholders /li /ul h3What You Get /h3 ul libLocation /b Remote (Europe) or hybrid in Zurich /li libCompensation /b Base + Performance Bonus /li libEquity /b Significant equity package /li libLearning /b Annual learning budget /li libHome Office /b Setup budget provided /li libImpact /b Shape technical direction of the company /li /ul #J-18808-Ljbffr