Full Stack Engineer

Overview Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community, eligible for opportunities through the New Haven Hiring Initiative, or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale! 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 at medicine.yale.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 at medicine.yale.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. Key Responsibilities AI‑first development. Use AI coding tools and agents (e.g., Claude Code, Augment, Cursor) as the primary method of writing, testing, and iterating on code. Contribute to defining and improving the team’s AI‑assisted development workflows. Front‑end engineering. Build and maintain React‑based user interfaces for both the public‑facing website (medicine.yale.edu) and the Beatrix CMS authoring experience. Develop reusable component libraries, implement page‑level templates from a cohesive design system, and ensure interfaces are responsive, accessible, and performant. Translate Figma designs into production‑ready code. Back‑end engineering. Develop and maintain C#/.NET Core APIs, MSSQL and NoSQL data layers, and the service architecture that powers Beatrix and related platforms. Work across the full data lifecycle from ingestion and transformation to API delivery. Platform architecture. Contribute to the design and build‑out of Beatrix v2, a metadata‑driven platform using a stable core engine and Lua scripting for domain behavior. In this architecture, the React front end is where the bulk of the engineering effort lives, interpreting metadata and Lua‑defined logic into the interfaces users interact with. Help define patterns that allow AI to reliably generate, test, and deploy both front‑end components and back‑end features. AI orchestration and agent management. Configure, supervise, and improve AI agents that handle feature scaffolding, bug resolution, automated testing, and deployment. Treat this as a core engineering discipline, not an add‑on. Infrastructure as code. Help codify and automate pipelines, deployments, monitoring, and environment management using tools like Terraform and Bicep so that infrastructure is documented, testable, and not dependent on institutional knowledge held by any one person or team. Code quality and review. Participate in code reviews—including AI‑assisted review tools such as Code Rabbit or Augment Code Review—with a focus on ensuring AI‑generated code meets quality, security, and maintainability standards. Help establish review patterns for an AI‑first workflow where volume of code output increases significantly. Collaboration with product. Work directly with product managers and designers in an integrated model—not handoff‑based—to rapidly iterate on features from definition through deployment. Offshore coordination. Collaborate with offshore team members on feature development and enhancements while supporting the broader goal of transitioning system ownership to the Yale‑based team. Continuous improvement. Identify opportunities for refactoring by examining system usage patterns and optimization opportunities. Stay current with advances in AI‑assisted development, and bring new approaches and tools to the team proactively. Required Skills and Abilities Demonstrated, hands‑on experience using AI tools and agents to write and ship production code. This means current, daily use of tools like Claude Code, Cursor, Augment, or similar—not familiarity, not interest, but proven practice. Candidates should be able to describe specific examples of how AI has changed the way they build software. Strong skills in JavaScript/TypeScript and React, including component architecture, state management, responsive design, and accessibility. Experience building reusable component libraries, design systems, or template frameworks in React where consistency and reusability across many pages or sites is a core requirement. Experience translating design comps into production interfaces. This role carries significant front‑end responsibility—candidates must demonstrate depth here, not just familiarity. Solid experience with C#, Web API on ASP.NET Core, MSSQL, and NoSQL databases. Familiarity with CQRS patterns is a plus. Experience with or strong aptitude for lightweight scripting languages (Lua, Python) and a willingness to work in a metadata‑driven architecture where AI generates domain logic. Working knowledge of CI/CD pipelines, deployment automation, containerization, and infrastructure‑as‑code principles (Terraform, Bicep). Comfort with Azure or similar cloud environments preferred. Preferred Skills and Abilities Experience contributing to or building CMS platforms, metadata‑driven systems, or multi‑tenant web applications and working in integrated product‑engineering teams. Comfort with rapid iteration, direct feedback, and shared ownership of outcomes. Experience working on small, senior engineering teams where individuals own significant portions of the stack. Experience with automated testing frameworks, particularly in the context of AI‑generated code validation. Strong analytical and critical thinking skills. Ability to debug complex systems, evaluate tradeoffs in architectural decisions, and operate with a high degree of autonomy. Ability to communicate technical concepts clearly to non‑technical stakeholders, including product managers, designers, and web content teams. Preferred Education Bachelor's degree in computer science or a related field with four to six years of professional full stack software development experience, or an equivalent combination of education and experience. Principal Responsibilities Develop programs or systems of small to moderate size and complexity. Modify existing systems at all levels of difficulty. Provide informational input into decisions concerning the development and delivery of applications, programs and systems. Define and analyze requirements to meet stakeholder expectations, intended end‑user needs, scheduled timelines, and budgetary targets. Analyze, define, and design new systems and applications. Write code in support of business solutions. Manage project plans including architectural design, technology selection, and methodologies to apply. Troubleshoot problems and provide ongoing maintenance and support for applications and systems. Prepare documentation, user manuals, and develop formal proposals for new systems and modifications to existing systems. Mentor technical staff and provide training for end users. Contribute in the development of policies or modifications to existing policies. Apply and stay current with emerging technologies and methodologies. Provide ongoing input to the establishment of programming standards, procedures, and methodologies. May perform other duties as assigned. Required Education and Experience Bachelor's Degree in a related field and two years of related work experience or an equivalent combination of education and experience. Job Details Job Posting Date: 04/23/2026 Job Category: Professional Bargaining Unit: NON Compensation Grade: Administration & Operations Compensation Grade Profile: Supervisor; Senior Associate (P5) Salary Range: $68,000.00 – $120,500.00 Time Type: Full time Duration Type: Staff Fixed Duration (Fixed Term) Work Model: Hybrid EEO Statement The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual’s sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran. Inquiries concerning Yale's policy against discrimination and harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA). Additional Information Yale University is a tobacco‑free campus. #J-18808-Ljbffr Yale University