Backend Product Engineer

What You'll Do: Own the design, development, and maintenance of our backend services and data systems that power our products. Build and maintain APIs and services running on Google Cloud Platform (GCP).Manage our data layer across PostgreSQL, Firestore, and Firebase — including schema design, data integrity, migrations, and performance. Practice AI-first development: use AI coding and development tools daily, and help shape how the team applies them. Design backend systems that support AI-powered product features (for example, integrating LLM APIs and building the data pipelines that feed them).Partner closely with our SRE to manage, monitor, and improve the environment — deployments, observability, incident response, and infrastructure decisions. Safeguard the data of the schools and students we serve through sound security and privacy practices. Write clear documentation and communicate technical decisions to both technical and non-technical teammates. Cloud: Google Cloud Platform (GCP) Databases: PostgreSQL, Firestore Platform services: Firebase

Language: TypeScript/Python

What We're Looking For: 5+ years of professional backend development experience. Strong technical skills and solid experience building and running production APIs and services. Hands-on experience with relational databases (PostgreSQL preferred) — schema design, queries, and performance tuning. Experience with a major cloud platform; GCP experience is a requirement, as is Firebase/Firestore. Genuine enthusiasm for AI-assisted development — you already use tools like Claude Code, Cursor, or Copilot and can speak to how they've changed the way you work. Experience integrating AI/LLM APIs into applications, or a strong desire to build that skill quickly. Comfort collaborating on infrastructure and reliability work — you don't need to be an SRE, but you should care about how your systems run in production. Clear communication and the ability to work well with teammates across engineering, product, and support. Experience in education technology or with assessment/testing platforms. Familiarity with accessibility requirements (WCAG) and how they shape product decisions. Experience with data migrations between environments (for example, staging to production).Experience with observability tooling and incident response.