Condé Nast

Software Engineer II

1 World Trade Center, New York, NY · Mid

Sponsorship not specified$145k-$165kDetected 12 days ago

TypeScriptReactHTMLCSSExpressFull-Stack DevelopmentCode ReviewGraphQLLLMsRAGAccessibilityIntellectual PropertyCollaboration

About the role

We are hiring a Front End Software Engineer / SE2: Full Stack to elevate the visual and interactive qualities of our consumer facing experiences across our portfolio of brands.
You will work at the intersection of brand expression, system architecture, and user experience, bringing finesse to interfaces that millions of readers interact with every day.
Be ready to defend your work, provide milestones on your progress and communicate your intentions to a group of peers.

You'll collaborate closely with our Product Design Lead, editorial partners, and platform engineers to bridge design intent with production-quality code.
Build polished, high quality UI elements as React components with a strong focus on layout, typography and interactive fidelity.
Inform Design, Product and Editorial teams on engineering rationale. Be ready to defend your work, provide milestones on your progress and communicate your intentions to a group of peers.
Work with GraphQL schemas, fragments, and resolvers to deliver efficient, minimal data payloads.
Shape GQL patterns that support component-driven design and editorial storytelling flows.
Design with Core Web Vitals in mind, continuously improving LCP, CLS, INP, and client-side performance.
Mentor through example, helping teammates build their craft and front-end intuition.
Identify pragmatic opportunities to use AI to improve publishing workflows, developer experience, content operations, or front-end platform efficiency, in partnership with Product, Design, Editorial, and Data teams.
Champion re-use in our design system. Extend and refine shared component libraries to support brand-distinctive layouts without sacrificing consistency.
Participate in design reviews, architectural discussions, and platform strategy.

Familiarity with React 18+, TypeScript, hooks, suspense, SSR concepts, and emerging RSC patterns are expected.

Experience integrating AI-powered features into web applications, such as streaming responses, prompt-driven interfaces, semantic search, recommendations, summarization, or editorial assistance tools.
Familiarity with LLM APIs, embeddings, RAG patterns, evaluation workflows, or AI observability.
Experience designing user interfaces for AI-assisted workflows with clear feedback, confidence cues, human-in-the-loop review, and graceful failure states.
What happens next?
If you are interested in this opportunity, please apply below, and we will review your application as soon as possible.
You can update your resume or upload a cover letter at any time by accessing your candidate profile.
Condé Nast is an equal opportunity employer.

Full stack, Publishing Platform
About Condé Nast
Condé Nast stands as a distinguished media powerhouse, celebrated for curating top-tier content for the globe's most impactful audiences.
About Condé Nast Technology
About Our Engineering Team

Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms.
The company's portfolio includes many of the world's most respected and influential media including Vogue, Vanity Fair, Glamour, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others.
Our brands are our USP. The expression of our iconic brands - from Vogue to the New Yorker - within their digital experiences is of utmost importance in our mission to create the best places to consume and interact with our brands.
The expression of our iconic brands - from Vogue to the New Yorker - within their digital experiences is of utmost importance in our mission to create the best places to consume and interact with our brands.

This listing is sourced directly from Condé Nast's careers page and normalized into a canonical job model.