Full Stack Engineer

Overview

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The full stack software engineer designs, develops, and maintains software systems powering Yale School of Medicine’s digital communications platforms, including a custom content management system (Beatrix) that serves hundreds of websites and a unified public web experience e.edu. The role spans both sides of the stack: building and refining React-based front‑end interfaces‑page templates, component libraries, interactive features—and developing the C#/.NET Core back‑end services, APIs, and data layers that power them.

This is a mid‑level engineering role on a small, high‑impact Yale‑based team that is actively transitioning to an AI‑first development model‑one where AI agents handle implementation, testing, and deployment, and engineers focus on architecture, orchestration, and quality.

The ideal candidate brings demonstrated experience using AI tools and agents to write, test, and ship production code‑not as an experiment, but as a core part of how they work. They are equally comfortable building polished, accessible user interfaces as they are working in back‑end services and database layers. They collaborate directly with product managers and designers, translate Figma designs into production‑ready components, and contribute to the architectural decisions that shape platform direction.

This is not a position for someone who wants to write code the traditional way and occasionally use AI as a convenience tool. The team is moving toward a model where AI agents handle the majority of implementation, testing, and deployment. The engineer in this role is expected to embrace that shift fully—to be someone who has already made it, and who can help accelerate the rest of the team’s transition.

This engineer will spend the majority of their time building and shipping features across both the front end and back end of Beatrix, YSM’s custom content management system, and the public web experience e.edu. Day to day, this means writing React components and page templates that implement a cohesive design system; developing and maintaining C#/.NET Core APIs and MSSQL data layers;

and using AI coding tools as the primary method of development, not as an occasional assist.

The team is in the early stages of rebuilding Beatrix on a metadata‑driven, AI‑native architecture. This engineer will contribute directly to that effort‑helping define how AI agents generate, test, and deploy code across the platform. They will also help codify infrastructure, improve deployment pipelines, and establish review patterns for AI‑generated output.