Software Engineer 1

Job Summary

About the role: 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.

We are hiring a Front End Software Engineer / SE1: Full stack to elevate the visual and interactive qualities of our consumer facing experiences across our portfolio of brands.

This role focuses on craft at scale. Building and implementing user interfaces that feel premium, deliberate and performant. 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.

You’ll collaborate closely with our Product Design Lead, editorial partners, and platform engineers to bridge design intent with production-quality code.

Location

Bengaluru, KA

About Our Engineering Team

Our engineering team builds and evolves Verso, the shared front-end platform powering more than 70 Cond Nast brand sites worldwide. We specialize in modern React architectures, performance-optimized experiences, multi-brand configuration systems, and flexible storytelling tools that enable teams to move fast while maintaining exceptional quality.

We value craft. We value clarity. We value performance. We value governance. We believe that exceptional digital experiences require engineering, product and design working in lockstep.

What We’re Looking For (Experience Skills)

• 2+ years of experience developing high-quality front-end experiences using React and TypeScript.
• Strong understanding with GraphQL, including fragments, schemas, and component-oriented queries.
• Solid understanding of modern React (hooks, suspense, SSR/Hydration, RSC concepts).
• Strong CSS fundamentals (layout systems, responsive design, animation, typography).
• Strong understanding of accessibility, usability, and inclusive design principles.
• Experience optimizing Core Web Vitals and reducing real-world runtime costs.
• Curious mindset with a desire to learn, iterate, and push the platform forward.
• Experience using AI-assisted development tools such as coding assistants, chat-based technical copilots, or AI-supported documentation/search workflows.
• Ability to prompt, critique, test, and refine AI-generated outputs rather than accepting them unreviewed.
• Awareness of responsible AI considerations, including privacy, security, intellectual property, accessibility, bias, and editorial trust.
• Curious about AI-enabled product experiences and how they can support publishing, storytelling, personalization, discovery, or internal tooling.

Key Responsibilities

• Elevate Front End architecture
  • Build polished, high quality UI elements as React components with a strong focus on layout, typography and interactive fidelity.
  • Communicate implementation decisions clearly during code reviews and team discussions, and explain tradeoffs when appropriate.
  • Utilize modern React and TypeScript features. Familiarity with React 18+, TypeScript, hooks, suspense, SSR concepts, and emerging RSC patterns are expected.
  • You write reusable, semantic code. You need to be able to defend your rationale during peer reviews. Your code should be written with long-term scalability in mind.
  • Work with GraphQL schemas, fragments, and resolvers to deliver efficient, minimal data payloads.
  • Work with 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.
  • Ensure accessibility, semantic HTML, responsive behaviors, and robust interaction patterns across devices and markets.
  • Use AI-assisted engineering tools responsibly to accelerate discovery, prototyping, testing, documentation, and implementation, while maintaining ownership of code quality, security, accessibility, and performance.
  • Critically evaluate AI-generated code and recommendations, validating correctness through tests, peer review, observability, and sound engineering judgment.
  • 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.
  • Contribute to responsible AI practices, including appropriate handling of confidential dat…