Jobs · empllo
Staff Web Engineer
Keystone AI · New York, Menlo Park · Posted 30d ago
About the role
Lead web performance improvements and optimize high-frequency UI for trading applications.
📋 Description Lead web performance across Legend, profiling and shipping speed improvements Deep dive into JavaScript internals, rendering pipelines, and real-time data Build and optimize high-frequency UI handling streaming market data Establish performance benchmarks and monitoring systems for repeatable standards Drive a performance-first culture through code reviews and docs Contribute to end-to-end feature development across Legend's trading surfaces 🎯 Requirements 7+ years of experience building web apps with performance focus Deep expertise in JavaScript and TypeScript, including engine internals and GC Experience profiling browser rendering pipelines and diagnosing jank Proven ability to build high-frequency, real-time UI with streaming data (Canvas/Web Workers/WebSockets a plus) Fluency with performance tooling and measurement: Chrome DevTools, Performance/Lighthouse, Core Web Vitals 🎁 Benefits Challenging, high-impact work to grow your career Performance-based compensation with bonuses, equity, and 401(k) matching Best-in-class benefits including 100% paid health insurance for employees Lifestyle wallet - flexible benefits spending account Employer-paid life & disability insurance, fertility benefits, and mental health benefits Time off to recharge including holidays, PTO, sick time, and parental leave
Read the full posting on empllo →
FAQ
Is the Staff Web Engineer role at Keystone AI remote?+
This Staff Web Engineer position is listed as hybrid (New York, Menlo Park).
What is the salary for the Staff Web Engineer role at Keystone AI?+
The listing states 209000-246000 USD.
What seniority level is this Staff Web Engineer role?+
This is a lead level position.
How do I apply for the Staff Web Engineer role at Keystone AI?+
Use the "Apply on empllo" button to open the original posting on empllo, where you can submit your application directly to Keystone AI.