System Architect

Role overview Set the technical direction for automation platforms that must remain reliable as usage and complexity grow. This role combines hands-on architectural design with reviewing existing systems, weighing practical trade-offs, documenting decisions, and helping developers apply sound system design.

Responsibilities - Design architectures for automation systems that can scale while remaining reliable and maintainable. - Make and explain decisions about data stores, APIs, integrations, queues, and infrastructure. - Evaluate trade-offs among delivery speed, complexity, reliability, and future growth. - Review current systems and recommend changes that help them handle increased load or changing requirements. - Identify failure modes, including external service outages, and plan for graceful handling and recovery. - Record architectural decisions and mentor developers in applying system-level thinking.

Requirements - Experience designing and building systems that have operated at meaningful scale. - Ability to reason about data flows, integrations, asynchronous processing, and infrastructure patterns. - Practical understanding of databases, APIs, queues, containers, and cloud deployment approaches. - Strong judgment in balancing robust design with timely delivery and business needs. - Ability to explain complex decisions clearly to engineers and non-technical stakeholders. - Experience learning from architectural mistakes and adapting designs based on operational outcomes.

Nice to have - Familiarity with workflow automation platforms, event-driven systems, and AI agent integrations. - Experience using AI tools to explore design options, prototype ideas, and produce clear technical specifications; knowledge of model context protocols is a plus.

Benefits and work setup - Remote work in Europe or a hybrid arrangement in Zurich. - Base compensation plus a performance bonus, a significant equity package, an annual learning budget, and a home office setup budget. - Opportunity to shape technical direction.

Candidates are asked to present a system they designed and its trade-offs, reflect on a decision they would make differently, describe their use of AI tools, and outline an approach to a high-volume automation platform.