Web Infrastructure Engineer (React)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Web Infrastructure Engineer (React): Improving ’s web client performance and development velocity with an accent on modularizing the client codebase and reducing interaction latency. Focus on building developer tooling, optimizing page render times, and designing paved-road abstractions for scale.
Location: Hybrid in San Francisco, CA or New York, NY
Salary: $260k - $330k per year
Company
is a collaborative AI workspace where teams and agents think together to manage knowledge, projects, and meetings in one place.
What you will do
- Improve page loading experiences through modularization of the client codebase and optimizing lazy loading or caching.
- Reduce interaction latency by making components and the broader codebase more lightweight and efficient.
- Define best practices and build developer tooling to help web engineers develop product features with higher confidence.
- Lead projects aimed at reducing the time to render and interact with pages across the application.
- Build frameworks that empower product engineers to deliver high-quality user experiences faster.
Requirements
- 8-10+ years of experience building and optimizing large web applications in React or similar frameworks.
- Proven track record of improving real-user performance metrics at scale, from page load to post-load interactivity.
- Strong expertise in modern bundling and build tooling (e.g., Webpack) and performance profiling.
- Strong systems thinking with the ability to design abstractions and guardrails for multiple teams.
- Must be based in or able to work hybrid from San Francisco or New York.
Nice to have
- Experience with modularizing large monorepos and reducing cyclic dependencies to improve build times.
- Familiarity with design systems, component performance, accessibility, and ergonomics.
Culture & Benefits
- Highly competitive cash compensation and equity.
- Work environment that values craft, humanity, and building sustainable software.
- Culture of intellectual curiosity and encouraged use of AI tools to work smarter.
- Commitment to diversity and inclusion across a global employee base.
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