Principal Platform Engineer at Playlab | Torre

Principal Platform Engineer

You'll architect scalable AI platforms, empowering educators to shape the future of learning.
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Full-time

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Compensation
USD190k - 230k/year
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Remote (anywhere)
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Emma of Torre.ai
2 months ago

Requirements and responsibilities


About PlaylabPlaylab is a tech non-profit dedicated to helping educators and students become critical consumers and creators of AI. We believe that an open-source, community-driven approach is key to harnessing the potential of AI in education. We equip communities with AI tools and hands-on professional development that empowers educators & students to build custom AI apps for their unique context. Over 60,000 educators have published apps on Playlab – and the impact is growing every day.At Playlab, we believe that AI is a new design material - one that should be shaped by many to bring their ideas about learning to life. If you're passionate about building creative, equitable futures for students and teachers, we hope you’ll join us.The RolePlaylab seeks a Principal Platform Engineer to join our growing Engineering team. As a Principal Platform Engineer, you’ll be architecting systems that help us scale what works and makes it possible to continuously experiment quickly with brand new ideas at the edges of what these technologies can do.Examples of the workArchitect new agent runtime infrastructure that will support us scaling to the next 100x usersImplement the foundations of multi-person apps and realtime collaboration featuresDesign systems that support lab schools redesigning education from the ground up - from AI-native curricula to entirely new operational modelsCollaborate with the ML team to select and build data infrastructure that can power realtime steering of LLM interactionsWork 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 PlaylabContribute to open sourcing components of our platform and supporting country-specific and self-hosted deploymentsAnd more…ExpectationsResearch, make tradeoffs, design and implement the core systems that enable us to rapidly iterate on AI-native educational experiencesHelp design the engineering culture and technical strategyStay on top of new technologies, platforms and techniques to unlock new functionality and improve existing featuresWork cross functionally and with customers so your system designs support the real needs of users as well as engineering goalsBalance experimentation with production excellence - be quick and creative when exploring new possibilities, ensure reliability, observability, and maintainability when productionizing systemsTake security and privacy seriously and work it into your architectural decisionsWork with product and engineering to both set and support the roadmapMentor engineers on system design and platform engineering through pairing and reviewsQualifications10+ years architecting and building scalable software systemsStrong experience designing and deploying production systems on Kubernetes and AWS, ideally with TerraformStrong experience implementing observability, monitoring, and redundancy for critical systemsProficient in Python or TypeScript (ideally both)Experience with security and privacy considerations when designing multi-tenant infrastructure processing sensitive dataThrive in high-agency, high collaboration culturesGreat communication that makes working remote-first workBonus Points For...Experience designing AI infrastructureExperience with designing creative platformsExperience in education or building in edtechTechnologiesKubernetes, AWS, Terraform, Typescript (Remix/React, Node), Python, Postgres, Neo4J, Vector Databases, Airflow
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