• Architect new agent runtime infrastructure that will support us scaling to the next 100x users • Implement the foundations of multi-person apps and realtime collaboration features • Design systems that support lab schools redesigning education from the ground up - from AI-native curricula to entirely new operational models • Collaborate with the ML team to select and build data infrastructure that can power realtime steering of LLM interactions • Work with product and app engineering to create secure, ephemeral backend sandboxes that enable power users to add sophisticated custom functionality to the apps they’re creating on Playlab • Contribute to open sourcing components of our platform and supporting country-specific and self-hosted deployments • Research, make tradeoffs, design and implement the core systems that enable us to rapidly iterate on AI-native educational experiences • Help design the engineering culture and technical strategy • Stay on top of new technologies, platforms and techniques to unlock new functionality and improve existing features • Work cross functionally and with customers so your system designs support the real needs of users as well as engineering goals • Balance experimentation with production excellence - be quick and creative when exploring new possibilities, ensure reliability, observability, and maintainability when productionizing systems • Take security and privacy seriously and work it into your architectural decisions • Work with product and engineering to both set and support the roadmap • Mentor engineers on system design and platform engineering through pairing and reviews.